Spending Review must support innovation to improve resilience and cut carbon emissions

Infrastructure, low-carbon energy and skills top priorities for investment

The government’s Spending Review should include support for innovation, especially to achieve the aims of net zero emissions, resilient infrastructure and nationwide digitalisation, according to recommendations published by the National Engineering Policy Centre (NEPC) todayThe UK should aim to be not just a science superpower, but a science, engineering and innovation superpower, enabling it to deliver the maximum economic and social returns from its investment in science.

In a joint paper compiled by the NEPCover 40 engineering organisations representing more than 450,000 UK engineers recommend that government invests in its proposed actions to help decarbonise the economy, and create a national workforce planning strategy to create jobs and spread opportunities more evenly across the nation. It says the UK could position itself as a market leader in low carbon technologies but achieving net zero carbon emissions depends on a resilient infrastructure system – the net zero and resilience agendas must be achieved together.

Read the paper here: Engineering a resilient and sustainable future

The 2020 Spending Review is one of the most important in a generationcoming at a time when the UK is in recession and the impact of the pandemic has increased inequality. Careful and considered decisions must be made now about physical and digital infrastructure in order to drive economic recovery and provide skilled jobs. The paper calls for long-term evidence-based infrastructure needs to be addressed, with individual regions being given the freedom to create infrastructure strategies. It also recommends building world-class digital connectivity and infrastructure that is fast, secure and resilient enough for an advanced digital economy.

Read our open letter to the Chancellor here

The COVID-19 crisis has hugely disrupted further and higher education and risks reducing the diversity of young people going into engineering. The paper highlights that the UK must now plan for its longterm engineering and technical skills needs, with an education system fit for the future and an ambitious plan for training, up-skilling and re-skilling. World-leading ambitions on net zero, infrastructure and digitalisation are threatened, it warns, if we do not have enough people with the engineering and technical skills to deliver them. 

Key actions for government recommended by the paper include:

  • Education: Address the long-term UK skills challenges across all sectors through the creation of a national workforce planning strategy. Support this with a new evidence-based STEM education strategy to address issues such as chronic shortages of physics, mathematics, computing and technology teachers and diversity challenges in STEM subjects. 

  • EducationEnsure long-term funding sustainability of high-cost, laboratory-based subjects in further and higher education. Boost the number of people completing higher technical qualifications and engineering apprenticeships, which have flatlined over the past five years. 

  • Infrastructure: Incentivise offsite manufacturing for new projects and low-carbon retrofitting for existing buildings to improve efficiency and reduce carbon emissions.  

  • Digital: Invest in broadband and 5G to support an advanced digital economy and expand the Made Smarter pilot to support small businesses across the UK to upskilladopt digital technologies and create new supply chain opportunities.  

  • Innovation: Make the UK more attractive for businesses to invest in R&D here through funding mechanisms and joint ventures between government and industry and increase Innovate UK’s budget and freedom on how they spend it.  

  • Energy: Invest, at the scale needed to trigger transformational change, in low carbon heat technologies, carbon capture, usage and storage,  low-carbon hydrogen production and nuclear generation capacity.

Professor Sir Jim McDonald FREng FRSE, President of the Royal Academy of Engineering, says:

“It is a crucial time for government to take practical actions to help the economy recover while addressing inequalities and reducing our carbon emissions. The actions proposed by the Academy and its partner organisations in the National Engineering Policy Centre reflect the level of UK engineering expertise available to address the challenges of developing the UK’s transport infrastructure, energy supply and digital networks to deliver an inclusive, sustainable economy. Done well, this will create more jobs and prosperity across the nation, addressing the needs of our future society.


Notes for Editors

The National Engineering Policy Centre

We are a unified voice for 43 professional engineering organisations, representing 450,000 engineers, a partnership led by the Royal Academy of Engineering.

We give policymakers a single route to advice from across the engineering profession.

We inform and respond to policy issues of national importance, for the benefit of society.

The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone.

In collaboration with our Fellows and partners, we’re growing talent and developing skills for the futuredriving innovation and building global partnerships, and influencing policy and engaging the public.

Together we’re working to tackle the greatest challenges of our age.

For more information please contact: Victoria Runcie at the Royal Academy of Engineering Tel. 0207 766 0620; email: victoria.runcie@raeng.org.uk

By |2020-09-29T23:01:45+00:00September 29th, 2020|Engineering News|Comments Off on Spending Review must support innovation to improve resilience and cut carbon emissions

Bacterial Community Composition in Produced Water of Diyarbakır Oil Fields in Turkey

Johnson Matthey Technol. Rev., 2020, 64, (4), 452

1. Introduction

Although much progress has been made in the use of renewable energy in recent years, fossil fuels (especially oil and gas) still meet most of the global energy demand, and they will continue to be the dominant source of energy worldwide over the next few decades (1).

Petroleum is a naturally occurring material found in various geological formations (reservoirs) worldwide. Crude oil, the liquid part of petroleum, is primarily composed of hydrocarbons (2). However, it may also include compounds of nitrogen, sulfur, oxygen and metals (3). Because crude oil in reservoirs is found as a mixture containing varying constituents and proportions, each crude oil has its own unique properties. The most important specified properties are density and sulfur content (4). The density of crude oil is reported in terms of American Petroleum Institute (API) gravity (specific gravity). Based on the API gravity, crude oils can be classified into light, medium, heavy and extra heavy oils (3). Depending on the amount of sulfur content (elemental sulfur or sulfur compounds such as hydrogen sulfide), the crude oil is categorised as ‘sweet’ or ‘sour’. In addition to chemical composition and physical properties, crude oil typically is also identified by underground reservoir (4). Reservoir characteristics (depth, temperature, pressure and other factors) vary significantly from one location to another, even in the same geologic formation (5, 6). The fact that microbial community composition and reservoir conditions vary dramatically not only between the different geographical areas, but also among different oil fields in the same region, makes each oil reservoir ecosystem unique.

Despite the extreme environmental conditions in the oil-bearing formations (i.e. anoxic, high temperature, high salinity), many microorganisms are capable of surviving in the oil and water phases of the oil wells (7, 8). Oil fields harbour mainly facultative aerobic and strictly anaerobic microorganisms due to the low redox potential in the reservoirs (8). These ecosystems contain different types of microbial communities (such as mesophiles, thermophiles and halophiles) which adapt to the reservoir conditions (9). Bacterial and archaeal groups identified in oil fields include sulfate-reducing bacteria (10), sulfur-oxidising bacteria (11), methanogens (12), fermentative microorganisms (13), acetogens (14), nitrate reducers (15), manganese and iron reducers (16) and hydrocarbon degraders (17). Among these microbes, sulfate-reducing bacteria have attracted much attention due to their detrimental effects such as reservoir souring and biocorrosion (7). In addition, different members of the oil microbial community are involved in syntrophic interactions. Fermenting bacteria and methanogenic archaea are involved in methanogenic hydrocarbon biodegradation through their close syntrophic associations (18). This microbial process is undesirable in oil reservoirs because it causes a decrease in oil quality and value (19). Syntrophic microorganisms in oil reservoirs also play important roles in the global biogeochemical cycling of sulfur, carbon and nitrogen. For instance, sulfate-reducing bacteria and sulfur-oxidising bacteria, the key drivers in sulfur transformations, are involved in the sulfur cycle (11). Thus, knowledge of the microbial groups and microbial dynamics in oil fields enable us to obtain detailed insights into the microbial ecology of oil associated environments.

Understanding the microbial ecology of oil reservoirs is crucial to the petroleum industry because the success of oilfield operations is strongly influenced by the activity of microorganisms. Oil microbes with different metabolic capabilities have significant negative and positive impacts on the petroleum resources and the extraction processes (7). Microbial activity may lead to severe problems such as reservoir souring and microbial corrosion. Reservoir souring, which is characterised by an increase in production of H2S in the reservoir fluids, most commonly occurs when sulfidogenic microorganisms reduce sulfate to sulfide, a toxic and corrosive product (20). Undesirable accumulation of sulfide minerals in reservoirs is one of the major challenging problems in oil production because it causes plugging of reservoirs, decreasing the oil quality and value and increasing the refining costs. Moreover, exposure to H2S can be dangerous in terms of worker health and safety due to its high toxicity. Additionally, the produced H2S promotes corrosion of the metallic equipment and structures used for oil production and processing (21). Another destructive phenomenon is biocorrosion, which is defined as microbial attack on the surface of the metal infrastructure leading to disruption of the material (22). In addition to sulfate-reducing bacteria, which play a major role in biocorrosion, other corrosive microbes, such as acetogenic bacteria and methanogenic archaea, are also associated with corrosion failures (23). Biocorrosion is a great concern because it leads to loss of material, large economic losses and safety issues in the oil industry (24). In contrast, hydrocarbon-degrading bacteria may be used for environmental clean-up processes (6). Bacterial degradation of hydrocarbons was carried out by both aerobic (for example, Rhodococcus sp., Sphingomonas sp., Pseudomonas putida, Pseudomonas stutzeri, Acinetobacter sp.) and anaerobic bacteria (such as Fe(III)-reducing bacteria, sulfate-reducing bacteria) (6, 17). Furthermore, microbial products such as biopolymers and biosurfactants can be used for facilitating oil movement in a widely used technology, known as microbial enhanced oil recovery (MEOR) (1). Compared with other conventional oil recovery techniques, MEOR has advantages such as low cost, wide application, high efficiency and low environmental pollution (25). Therefore, diversity, metabolic processes and habitat conditions of microbial communities in oil reservoirs should be investigated, so that their negative effects can be decreased and their positive effects can be exploited.

This study aimed to determine the bacterial community composition and to identify the predominant community members in produced water from oil fields located in the Diyarbakır region in Turkey. To this end, we used PCR-DGGE to analyse 20 produced water samples from the Diyarbakır region. There are limited studies on produced water from the Diyarbakır region and this paper represents the only in situ study available. The results of this study provide not only new data about the microbial ecology of the Diyarbakır oil fields, but also information on the bacterial populations which may have potential roles in terms of increasing or decreasing the efficiency of industrial applications.

2. Materials and Methods

2.1 Sampling Procedure

The sampling site, the Diyarbakır region, is located at the boundary of the Anatolian plate and the Middle Eastern oil region in south-eastern Turkey. A total of 20 crude oil samples (B1, B6, B8, B14, B23, B32, B56, GK8, GS6, GS15, M3, K2, K3, K32, K35, K44, S4, S15, Y18 and Y30) consisting of an oil/water mixture were collected from the production wells of Diyarbakır oil fields (Figure 1). These wells produced oils withdrawn from the oil sandstone deposits (depths from 1600 m to 2620 m, API gravity from 24.3° to 42.3°, water content around 94%, an average pH of 7.0 and salinity from 2966 mg l−1 to 26,961 mg l−1). The samples were aseptically taken at the wellhead and put into sterile 500 ml serum bottles sealed with rubber stoppers and aluminium caps. The samples were shipped at ambient temperature. Upon arrival at the laboratory, the samples were immediately analysed. All samples were treated within 48 h after collection. Decantation was used to separate produced water from the oil/water mixture.

Fig. 1.

Sampling locations in Diyarbakır region. Produced water samples were collected from 20 different oil wells © Maphill / Creative Commons Attribution-NoDerivatives (CC BY-ND)

Sampling locations in Diyarbakır region. Produced water samples were collected from 20 different oil wells © Maphill / Creative Commons Attribution-NoDerivatives (CC BY-ND)

2.2 DNA Extraction

Bacteria in the produced water samples were collected by filtration over 0.20 μm pore size polyamide filters (Sartolon®, Sartorius AG, Germany). Genomic DNA was extracted with the UltraClean® Microbial DNA isolation kit (MO BIO Laboratories Inc, USA) according to the manufacturer’s protocol.

2.3 Polymerase Chain Reaction Amplification

Extracted DNA was used as the template for PCR amplification of partial 16S rRNA fragments. Primer pair consisting of 341F with a GC clamp and 907R was used for DGGE analysis (26). A 40-base GC clamp was used to prevent complete denaturation of the fragment during DGGE (27).

Due to the low DNA yield, a two-step PCR strategy was used. At the first step, a real-time PCR (quantitative PCR, qPCR) approach was applied to the produced water samples. The reaction mixture in a final volume of 22.5 μl contained 0.2 μl of each primer, 12.5 μl iQTM SYBR® Green Supermix (Bio-Rad Laboratories Inc, USA), 9.6 μl RNase-Free Water (Qiagen, Germany) and 0.5 μl DNA template. qPCR was performed in iCycler iQTM Real-Time PCR Detection System (Bio-Rad Laboratories Inc, USA) using the following conditions: 5 min at 95°C; 40 cycles of 95°C for 30 s, 57°C for 40 s, 72°C for 40 s and 80°C for 25 s; and a final 72°C for 10 min. In the qPCR method, after each cycle, a signal was formed. By observing the signals for each sample, PCR products could be detected. The reaction was terminated when the desired amount of product was reached. At the second step, a conventional PCR approach was applied to the qPCR products. Reaction mixture in a final volume of 25 μl contained 0.2 μl of each primer, 12.5 μl Taq PCR Master Mix (Qiagen, Germany), 9.6 μl RNase-Free Water (Qiagen, Germany) and 0.5 μl DNA template. The PCR was performed in TGradient thermocycler (Biometra, Germany) using the following conditions: 5 min at 95°C; 12 cycles of 95°C for 30 s, 57°C for 40 s and 72°C for 40 s; and a final 74°C for 30 min.

2.4 Denaturing Gradient Gel Electrophoresis

The DCodeTM system (Bio-Rad Laboratories, USA) was used for DGGE analysis. 25 μl of each PCR product (200–300 ng) were loaded onto 6% polyacrylamide gels (w/v) containing gradients of 20% to 70% denaturants (urea/formamide). The gels were run for 16 h at 100 V and 60°C in 1× Tris-acetate-EDTA buffer. After completion of electrophoresis, the gels were stained with SYBR® Gold Nucleic Acid Gel Stain (InvitrogenTM, Thermo Fisher Scientific, USA) for 20 min, visualised and photographed. Selected predominant DGGE bands were excised, eluted in 40 μl of 1× Tris buffer (pH 8) for 2 d at 4°C and re-amplified with 25 cycles as described above. Reaction mixture in a final volume of 25 μl contained 0.125 μl of primer 341F, 0.125 μl of primer 907R, 12.5 μl of Taq PCR Master Mix, 9.75 μl of ultra-pure water and 0.5 μl of template. The PCR products were quantified on a 1.5% (w/v) agarose gel and then sequenced by Macrogen Inc (Seoul, South Korea).

2.5 Comparative Sequence Analysis

The resulting sequences were first aligned and edited using CodonCode Aligner software (CodonCode Corp, USA). Then they were compared to sequences stored in the database GenBank® using the National Center for Biotechnology Information (NCBI) Basic Local Alignment Search Tool (BLAST®) (28, 29). All obtained partial 16S rRNA gene sequences were deposited in GenBank® database under the following accession numbers: KF720792 – KF720796, KF720798, KF720801 – KF720802, KF720804, KF720806 – KF720808, KF720810 – KF720811, KF720814, KF720818, KF720820, KF720823, KF720825 – KF720826, KF720828, KF720830 – KF720832, KF720839, KF720844, KF720852, KF720855, KF720858, KF720872, KF720877, KF720882 – KF720884, KF720886 – KF720889, KF720891, KF720893 – KF720894, KF720896 and KF720903.

3. Results

3.1 Molecular Analysis of Bacterial Communities

Bacterial DNA isolation could only be achieved for 16 (B1, B8, B6, B14, B23, B32, B56, GS6, GK8, K35, K44, M3, S4, S15, Y18, Y30) of the 20 produced water samples. Because the water phase could not be separated from the oil phase for the other four produced water samples, DNA could not be extracted from these samples. The extracted DNA was used as template DNA for the amplification of 16S rRNA gene fragment. Unfortunately, direct PCR with bacterial primers did not yield a product from any of the produced water samples. For this reason, a two-step PCR was applied: the first step was a qPCR to increase the concentration of genetic material to measurable amounts (30), while the second step was a normal PCR to obtain enough material for DGGE analysis. For produced water samples, a total of 113 DGGE gel bands were analysed, but only 69 bands yielded sequences of satisfactory quality (Figure 2).

Fig. 2.

DGGE profiles of 16S rRNA gene fragments amplified from produced water samples. See legend to Figure 1. (a) 1, B32; 2, B6; 3, B14; 4, B23; 5, S4, 6, GK8; (b) 7, GS6; 8, M3; (c) 9, B56; 10, B1; 11, B8; 12, K35; 13, Y30; 14, Y14; 15, S15

DGGE profiles of 16S rRNA gene fragments amplified from produced water samples. See legend to Figure 1. (a) 1, B32; 2, B6; 3, B14; 4, B23; 5, S4, 6, GK8; (b) 7, GS6; 8, M3; (c) 9, B56; 10, B1; 11, B8; 12, K35; 13, Y30; 14, Y14; 15, S15

Comparative sequence analysis of the DGGE bands indicated that 50% of the bacterial sequences belonged to ‘unclassified bacteria’. Among the classified bacteria, members of the phyla Proteobacteria, Bacteroidetes, Firmicutes and Actinobacteria, and the classes Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Sphingobacteriia, Bacilli and Actinobacteria were identified (Figure 3).

Fig. 3.

Phylogenetic distribution of the 16S rRNA sequences of produced water samples from the Diyarbakır oil wells at: (a) the phylum level; and (b) the class level

Phylogenetic distribution of the 16S rRNA sequences of produced water samples from the Diyarbakır oil wells at: (a) the phylum level; and (b) the class level

3.1.1 Proteobacteria

Proteobacteria was the dominant phylum, comprising 29.2% of the total sequences retrieved from the produced water samples (Figure 3). The sequences B6_19 and B14_37 shared 100% and 99% identity with uncultured bacteria (EU044497 and JF421153, respectively) (Table I). The sequence B32_3 was distantly (94%) related to a moderately thermophilic bacterium Phenylobacterium lituiforme, a member of Alphaproteobacteria (31). Within Betaproteobacteria, the sequence represented by B32_55 was identified (98%) as Aquincola sp. THE-49 (JN128637), isolated from water reservoir (published only in GenBank®). The produced water contained different members of the class Gammaproteobacteria . DGGE bands B32_4, B14_35, S4_70, GS6_2 and GK8_79 were affiliated (100%, 94%, 99%, 93%, 99%, respectively) to Pseudomonas stutzeri (Table I), a non-fluorescent denitrifying bacterium (32). The sequence from band B1_20 showed a 100% similarity to Acinetobacter sp. VKPM 2838 (Table I). The genus Acinetobacter comprises important soil organisms where they contribute to the mineralisation of aromatic compounds and they are suited to exploitation for biotechnological purposes, such as biodegradation (33). B8_30 was related (96%) to Marinobacter sp. Trimyema-2, a thermophilic strain that was isolated from the hydrothermally heated sea floor at Vulcano Island, Italy (34). Members of the genus Marinobacter were also identified in the production water retrieved from a Dutch oil field (35). The sequence from B32_2 was distantly related (93%) to Thermithiobacillus sp. ParkerM (HM173631) that is moderately thermophilic and obligately chemolithoautotrophic on reduced inorganic sulfur compounds (36). Another member of the class Gammaproteobacteria was close to the sequence of uncultured hydrocarbon seep bacterium (91% similarity) (AF154088) (Table I).

Table I

Phylogenetic Affiliations of Bacterial Sequences Retrieved from Produced Water Samples Based on 16S rRNA Analysis and GenBank® Accession Numbers Assigned to these Sequences

Well no. DGGE band Accession number Closest BLAST® match BLAST® accession number Similarity, % Phylum Class Isolation source
B1 B1_20 KF720883 Acinetobacter sp. VKPM 2838 JF891390 100 Proteobacteria Gamma proteobacteria
B1_23 KF720891 Aeribacillus pallidus strain MCM B-886 JN701188 89 Firmicutes Bacilli Petroleum reservoir
B1_24 KF720893 Uncultured Firmicutes bacterium HM041942 98 Firmicutes Produced fluid
B6 B6_14 KF720818 Chitinophagaceae bacterium F1 AB535716 99 Bacteroidetes Sphingobacteriia Compost
B6_16 KF720830 Uncultured Bacteroidetes bacterium FR871413 92 Bacteroidetes Total copepod extracts
B6_17 KF720793 Uncultured bacterium GQ259593 98 Bioreactor
B6_19 KF720802 Uncultured Sphingomonas sp. EU044497 100 Proteobacteria Alpha proteobacteria Soil
B6_20 KF720808 Uncultured Firmicutes bacterium EU194836 96 Firmicutes Charleston Harbor sediment
B6_26 KF720798 Coriobacteriaceae bacterium enrichment culture clone B3113 HQ133029 100 Actinobacteria Actinobacteria Crude oil contaminated soil
B8 B8_27 KF720882 Uncultured Bacteroidetes bacterium EF491430 99 Bacteroidetes Steel surfaces immerged in marine water
B8_29 KF720887 Uncultured bacterium FJ628289 96 Brackish water from anoxic fjord Nitinat Lake at depth of 50 m
B8_30 KF720888 Marinobacter sp. Trimyema-2 AJ292528 96 Proteobacteria Gamma proteobacteria The hydrothermally heated sea floor
B14 B14_35 KF720804 Pseudomonas stutzeri HQ189755 94 Proteobacteria Gamma proteobacteria Water/soil mix pile of samples from oil wells
B14_37 KF720814 Uncultured Caenispirillum sp. clone Ppss_Ma27 JF421153 99 Proteobacteria Alpha proteobacteria Petroleum-contaminated saline-alkali soil with phytoremediation
B14_38 KF720820 Uncultured bacterium FN429535 98 Wastewater of oil refinery treatment plant
B14_39 KF720825 Georgenia daeguensis HQ246163 100 Actinobacteria Actinobacteria Activated sludge from industrial wastewater treatment
B14_41 KF720794 Uncultured bacterium GQ457025 96 Rhizosphere
B23 B23_52 KF720810 Uncultured bacterium FN401244 99 Domestic toilet biofilm
B23_55 KF720826 Aquincola sp. THE-49 JN128637 98 Proteobacteria Beta proteobacteria Water reservoir
B23_56 KF720831 Uncultured bacterium HM921144 99 Groundwater from drinking water treatment plant
B32 B32_1 KF720792 Uncultured soil bacterium AY221598 99 Metal and hydrocarbon contaminated soil
B32_2 KF720796 Thermithiobacillus sp. ParkerM HM173631 93 Proteobacteria Gamma proteobacteria
B32_3 KF720801 Phenylobacterium lituiforme AY534887 94 Proteobacteria Alpha proteobacteria Subsurface aquifer
B32_4 KF720807 Pseudomonas stutzeri FJ345693 100 Proteobacteria Gamma proteobacteria Area contaminated by crude oil and chemicals
B56 B56_17 KF720903 Uncultured Firmicutes bacterium HM041942 97 Firmicutes Produced fluid
GK8 GK8_79 KF720828 Pseudomonas stutzeri JF727663 99 Proteobacteria Gamma proteobacteria Petroleum-contaminated saline-alkali soils
GS6 GS6_1 KF720832 Uncultured bacterium JN030519 99 Fissure water collected from a borehole
GS6_2 KF720839 Pseudomonas stutzeri JN228329 93 Proteobacteria Gamma proteobacteria
GS6_4 KF720852 Uncultured bacterium JF497820 90 Activated sludge
GS6_5 KF720858 Uncultured marine bacterium FM211087 90 Microcosm experiment
M3 M3_28 KF720855 Uncultured bacterium PHOS-HE31 AF314430 99 Batch reactor
M3_31 KF720872 Uncultured bacterium HM921144 98 Groundwater from drinking water treatment plant
M3_32 KF720877 Uncultured bacterium HQ538639 99 Bulking activated sludge
M3_34 KF720844 Uncultured bacterium AB231448 99 Enhanced biological phosphorus removal (EBPR) sludge
K35 K35_44 KF720884 Uncultured hydrocarbon seep bacterium BPC028 AF154088 91 Proteobacteria Gamma proteobacteria Hydrocarbon seep sediment
K35_46 KF720889 Uncultured bacterium HM921144 98 Groundwater from drinking water treatment plant
K35_48 KF720894 Uncultured bacterium FJ623379 97 Batch reactor
K35_49 KF720896 Uncultured bacterium AB231448 99 EBPR sludge
S4 S4_67 KF720806 Uncultured Bacteroidetes bacterium EF491430 92 Bacteroidetes Steel surfaces immersed in marine water
S4_68 KF720811 Uncultured bacterium FJ628289 96 Brackish water from anoxic fjord
S4_70 KF720823 Pseudomonas stutzeri JN228329 99 Proteobacteria Gamma proteobacteria
S4_73 KF720795 Uncultured bacterium JF514265 100 Sea
S15 S15_60 KF720886 Uncultured hydrocarbon seep bacterium BPC028 AF154088 91 Proteobacteria Gamma proteobacteria Hydrocarbon seep sediment
Y18 Y18_70 KF720889 Uncultured bacterium HM921144 98 Groundwater from drinking water treatment plant
Y30 Y30_66 KF720889 Uncultured bacterium HM921144 98 Groundwater from drinking water treatment plant
Y30_68 KF720894 Uncultured bacterium FJ623379 97 Batch reactor
Y30_69 KF720896 Uncultured bacterium AB231448 99 EBPR sludge

3.1.2 Bacteroidetes

8.3% of the sequences detected among the produced water samples fell into Bacteroidetes (Figure 3). The sequence of band B6_14 was affiliated to unclassified Chitinophagaceae. It shared 99% identity with Chitinophagaceae bacterium F1 (AB535716), isolated from compost (Table I). DGGE bands B6_16, S4_67 and B8_27 were identified (92% to 99% sequence identity) as uncultured Bacteroidetes bacteria (Table I). The sequences from S4_67 and B8_27 were related to uncultured bacteria that were taught as members of biocorroding microbiota colonising on steel surfaces immerged in coastal seawater (37).

3.1.3 Firmicutes

Sequences belonging to members of Firmicutes accounted for 8.3% of the bacteria in the produced water (Figure 3). DGGE band B1_23 was distantly related (89%) to Aeribacillus pallidus strain MCM B-886 (JN701188), isolated from petroleum reservoir (published only in GenBank®) (Table I). In addition, different strains of Aeribacillus pallidus (with sequence similarity values from 98% to 99.6%) were isolated previously from various geothermal sites of Turkey (38). DGGE band B6_20 was distantly related (96%) to an uncultured Firmicutes bacterium, isolated from marine sediment in Charleston, South Carolina, USA (39). B56_17 and B1_24 were affiliated (97% and 98%, respectively) to an uncultured Firmicutes bacterium (Table I), detected in produced fluid from non-water-flooded high-temperature reservoir of the Niibori oilfield, Japan (40).

3.1.4 Actinobacteria

The phylum Actinobacteria comprised 4.2% of the bacterial community recovered from the produced water (Figure 3). DGGE band B6_26 displayed 100% sequence similarity to Coriobacteriaceae bacterium enrichment culture clone B3113 (HQ133029) isolated from crude oil contaminated soil of Shengli oil fields, China (41). The sequence B14_39 was closely related (100% similarity) to an aerobic bacterial strain Georgenia daeguensis 2C6-43, isolated from an activated sludge sample collected from an industrial wastewater treatment plant in Daegu, South Korea (42). Although little is known about the presence of G. daeguensis in oil associated environments, it was reported that different strains of G. daeguensis were isolated from hydrocarbon contaminated soil of an industrial zone and oil-saturated soil under laboratory conditions (4345).

4. Discussion

In order to increase our knowledge about microbial diversity, culture-dependent and molecular-based approaches are used for describing the diversity of microbes. Molecular-based approaches such as PCR-DGGE methodology, which is a useful tool for monitoring the genetic diversity of complex microbial populations (26), provide valuable information about the microbial community structure and dynamics in nature. For these reasons, PCR-DGGE fingerprinting analysis of environmental samples was used in this study.

The choice of appropriate primers for PCR amplification is a crucial step to accurately characterise the microbial communities. In this study, primer pair (341F-GC/907R), targeting the V3-V5 region of the 16S rRNA gene fragment, was selected due to its suitability for DGGE analysis of bacterial populations in environmental samples (26). This primer pair designed by Muyzer et al. (27, 28) has been used predominantly for microbial community analysis (26).

The DNA yield obtained from produced water samples was very low. It is known that crude oil samples contain low amounts of biomass which makes DNA isolation difficult to achieve (46). In this study, the permit included taking up to 500 ml of oil/water mixture from each sampling point so that only ca. 25 ml of each produced water sample could be obtained. In this scope, the low sample volumes of produced water separated from the oil/water mixture may be a reason for the low amount of DNA. It was reported in other studies that higher sample volumes (100–4000 ml) of produced water were used for DNA isolation (35, 4750). The low DNA yield affected the efficiency of the PCR technique and for this reason, a two-step PCR was applied to the produced water samples. Thus, a sufficient amount of PCR product for DGGE for the produced water samples could be obtained.

Bacterial communities associated with the produced waters was analysed by the PCR-DGGE approach. Although numerous bands were visible on the DGGE gel, only dominant bands could be excised and sequenced. Most of the sequences retrieved from produced water samples were related to unclassified bacteria. Different studies on oil reservoir microbiota have also shown that oil fields harbour new and still unidentified microbial species. For example, Lenchi et al. described microbial communities in production and injection waters from the Algerian oil fields. In their study, they detected that a large number of unclassified bacterial and archaeal sequences were found in the water samples (51). Furthermore, uncultured bacteria such as uncultured Sphingomonas sp. and uncultured Caenispirillum sp. clone Ppss_Ma27 were detected in our study. This result is consistent with the fact that the vast majority of microorganisms are uncultured and do not grow under laboratory conditions as stated by Lewis et al. (52). In order to isolate more microbes, an appropriate identification laboratory protocol should be followed. At this point, different strategies such as mimicking natural conditions via decreased nutrient, extended incubation times, the modification of isolating media formulations and different incubation parameters (for example, temperature) were suggested for the cultivation of microorganisms (53). For instance, pollutant degrader Sphingomonas, which seemed to be previously uncultured by nutrient-rich methods, could be isolated from crude oil contaminated soil by using an in situ method that mimics the original environment (54). In addition, culture-dependent investigation should also be supported by molecular techniques.

Based on the sequences, organisms related to known mesophilic bacteria were predominant in the produced water samples. In addition, some organisms related to thermophilic bacteria (Aeribacillus pallidus, Marinobacter sp. Trimyema-2, Phenylobacterium lituiforme and Thermithiobacillus sp.) were also identified. Bacteria having different metabolic capabilities (denitrifying, biodegrading and sulfur removing bacteria) were also detected. In addition, bacteria which may cause biocorrosion on steel surfaces were detected.

The dominant bacterial phylum was the Proteobacteria. The members of this phylum were also frequently found in many other studies on microbial diversity of oil field produced waters (5558). Moreover, it was stated that Proteobacteria are ubiquitous in oil reservoirs over all temperature ranges (59).

In this study, among the detected genera in produced water samples that potentially contain hydrocarbon degrading bacteria were Aeribacillus, Acinetobacter, Sphingomonas, Marinobacter and Phenylobacterium. It has been known for years that the species belonging to these genera are capable of degrading hydrocarbons (6, 17, 60, 61). In addition, G. daeguensis, a hydrocarbonoclastic bacterium, was detected in produced water sample with a 100% sequence similarity. G. daeguensis has also been demonstrated as a potential microbe for bioremediation due to its hydrocarbon degradation ability (44). Further investigations are needed because our current knowledge of the metabolic capability of G. daeguensis is limited. Moreover, sulfur-oxidising Thermithiobacillus sp. was also identified in produced water sample. Sulfur-oxidising bacteria, which oxidise the sulfur compounds produced by the activity of sulfate-reducing bacteria in oil reservoirs, may play a key role in the oil industry because they can be utilised to resolve processing problems such as reservoir souring (11).

Pseudomonas was the dominant genus detected among the produced water samples. Pseudomonas stutzeri was the species identified in five produced water samples. P. stutzeri was previously isolated not only from formation water, produced from the petroleum wells in Adıyaman (62), but also oil-contaminated soils in Batman petroleum refinery, Turkey (63). These two areas are close to the Diyarbakır region from where the samples in this study were collected and these findings show that P. stutzeri is distributed widely in south-eastern Turkey. In other different geographical areas, this species was also isolated from oil-associated environments, such as oil field production water (64), oil sludge (65) and oil contaminated soil (66). However, although P. stutzeri is often isolated from oil reservoirs, the origin of P. stutzeri in oil reservoirs is a debatable issue. Because oil reservoirs have low redox potentials and contain little oxygen, anaerobic microorganisms are considered as truly indigenous to oil reservoirs (67). In this regard, it is believed that P. stutzeri, most of whose strains are aerobes, is an exogenous organism inoculated into oil reservoirs during the oil production processes. Even if strains of P. stutzeri are introduced into oil reservoirs with injected fluids, they should adapt to the physicochemical characteristics of the reservoir to survive. At this point, it has been proposed that extreme reservoir conditions may act as special factors for the evolution of P. stutzeri, thereby forming mutant strains (68). Furthermore, P. stutzeri, being found in a wide variety of habitats, is known for its diverse metabolism. Some strains of P. stutzeri are capable of denitrification, degradation of aromatic compounds and nitrogen fixation (32). These metabolic features make P. stutzeri highly attractive for biotechnological processes, such as reservoir souring control (69), microbial enhanced oil recovery (64) and bioremediation of oil-polluted environments (65).

In undisturbed oil reservoirs, microorganisms are found in different phases such as reservoir fluid containing crude oil and formation water, and rock surfaces. While planktonic microbes thrive in the water phase, sessile microbes may attach to oil or rock surfaces (59). In addition, biofilm may form on the metal surfaces of the pipes in the oil-producing wells (70). Oil microbiome studies focus mainly on the analysis of the water phase due to its easy sampling. However, it should be noted that the water phase itself contains only a minor portion of the microbes found in the oil reservoir (59). On the other hand, the sampling of sessile microbes is likely to be more challenging (70).

5. Conclusion

This study reported for the first time the bacterial community composition of produced water from Diyarbakır oil reservoirs as obtained by DGGE analysis of PCR-amplified 16S rRNA gene fragments. DGGE analysis of produced water samples demonstrated that the majority of the bacterial sequences belonged to unclassified bacteria, indicating that oil reservoirs harbour still undescribed microbial species. Among the classified bacteria, the members of Proteobacteria were more abundant. Pseudomonas was the dominant genus detected in the produced water. Although the members of Pseudomonas were known as exogenous organisms inoculated into oil reservoirs, Pseudomonas stutzeri was found in five produced water samples. Bacteria having different metabolic capabilities (denitrifying, biodegrading and sulfur removing bacteria) were also detected. It can be stated that the metabolic capacities of these bacteria make them potential candidates for utilising in biodegradation, bioremediation, the improvement of oil quality and oil recovery processes. The knowledge of the bacterial community composition in oil reservoirs of the Diyarbakır region obtained in this study will be of great interest for both scientific research and applications in the oil industry. To build on the data presented in this study, metagenomic analyses should be performed to explore the undescribed microbes.

Acknowledgements

This work was supported by ‘Research Fund of Istanbul University’ (Project number: 28699). Tuğçe Tüccar was awarded an Erasmus LLP Scholarship. Esra Ilhan-Sungur was awarded a Post-doctoral Research Scholarship by the Scientific and Technological Research Council of Turkey (TUBITAK-BIDEB). We thank the Turkish Petroleum Corporation for permission to collect samples, and Ender Taptık and Hasan Kaya for their assistance with the sample collection. We thank Ben Abbas for his technical assistance. We acknowledge Hakan Hosgormez for his helpful comments and suggestions.

The Authors


Tuğçe Tüccar is a PhD candidate in Fundamental and Industrial Microbiology at Istanbul University, Turkey. She received her Bachelor’s degree in Biology from Middle East Technical University, Turkey, in 2009. She obtained her Master’s degree in Fundamental and Industrial Microbiology from Istanbul University, Turkey, in 2011. Her dissertation was on investigation of sulfate-reducing bacteria in petroleum samples. She was awarded an Erasmus LLP Scholarship and conducted her research work at Delft University of Technology, The Netherlands. Areas of interest are microbial ecology, microbial genetics, petroleum microbiology and microbial corrosion.


Esra Ilhan-Sungur is professor in the Biology Department at Istanbul University, Turkey, since 2018. A key focus of her research is microbiologically induced corrosion and its prevention. Further research interests lie in the area of anaerobic bacteria (especially sulfate-reducing bacteria), petroleum microbiology, microbial diversity and ecology, microbial genetics and biofilm. She was awarded a postdoctoral research scholarship by the Scientific and Technological Research Council of Turkey (TUBITAK-BIDEB) and worked as a guest researcher at Delft University of Technology.


Gerard Muyzer is Professor in Microbial Systems Ecology at the University of Amsterdam, The Netherlands. He is studying the structure, function and dynamics of microbial communities, their role in biogeochemical cycles and their application in biotechnological processes. For this he is using a systems biology approach in which he combines experimental work, the use of state-of-the-art omics techniques, and mathematical modelling. He is mainly focusing on the microbial sulfur cycle, and in particular on sulfur bacteria that are present in natural ecosystems (such as soda lakes, stratified lakes, rhizosphere of seagrasses) as well as man-made ecosystems, such as full-scale bioreactors removing toxic sulfur compounds from wastewater.

By |2020-09-28T12:24:18+00:00September 28th, 2020|Weld Engineering Services|Comments Off on Bacterial Community Composition in Produced Water of Diyarbakır Oil Fields in Turkey

Lewis Hamilton and the Academy announce the board members of The Hamilton Commission

  • The Hamilton Commission, set up by Lewis Hamilton at the beginning of the year, is aimed at improving the representation of Black people in UK motorsport

Six-Time Formula One™ World Champion, Lewis Hamilton MBE HonFREng and the Royal Academy of Engineering today announced the Board of Commissioners for The Hamilton Commission, a research project that will work to identify the key barriers to recruitment and progression of Black people in UK motorsport, and provide actionable recommendations to overcome them.

The Hamilton Commission will be co-chaired by Lewis Hamilton and Dr Hayaatun Sillem CBE, Chief Executive of the Royal Academy of Engineering. The Board of Commissioners is an independent group made up of 14 experts and industry leaders from within the UK who represent a range of perspectives on the challenge. The Commissioners have been specially selected to represent a wide range of expertise spanning critical areas of influence including motorsport, engineering, schools, colleges and universities, community / youth groups, as well as major UK political parties.

Each of the Commissioners will bring valuable expertise, knowledge and experience from their respective fields to The Hamilton Commission. Their responsibilities will be to review and inform the research methodology; to examine the research findings and help identify the key challenges and opportunities facing young Black people entering STEM careers, particularly in UK motorsport; and to advise on the final actions and recommendations that result from the research. Following engagement and consultation with motorsport communities within the UK, the final evidence and recommendations will be published and taken directly to key stakeholders who can help implement change. Commissioners will also support this effort by applying their personal influence to champion the insights and recommendations from the project.

The Hamilton Commission

 

The Board of Commissioners for The Hamilton Commission include:

  • KAREN CHOUHAN, Lead Equality Officer with a specialism in race policy for the National Education Union
  • JEREMY CROOK OBE, Chief Executive of the Black Training and Enterprise Group
  • TRACEY CROUCH MP, former Sports Minister and British Conservative Party politician
  • DR NIKE FOLAYAN MBE, Co-founder and Chair of the Association for Black and Minority Ethnic Engineers, AFBE-UK
  • PROFESSOR ALICE GAST FREng, President of Imperial College London
  • MARK HAMLIN, Chair of Project 44
  • DR ZUBAIDA HAQUE, Former Interim Director of the Runnymede Trust
  • DR ANNE-MARIE IMAFIDON MBE, Co-founder of Stemettes and Trustee at the Institute for the Future of Work
  • GEORGE IMAFIDON, Co-Founder of Motivez, One Young World Ambassador and Royal Academy of Engineering Scholar
  • GLEN LAMBERT, Head of School of Construction, Science and Engineering at College of Haringey, Enfield and North East London
  • PROFESSOR DAVID MBA, Pro-Vice Chancellor Research and Enterprise, and Dean of the Faculty of Computing, Engineering and Media at De Montfort University
  • IZZY OBENG, Managing Director at Foundervine and Non-Executive Director for Capital Enterprise
  • CHI ONWURAH MP, British Member of Parliament representing Newcastle upon Tyne Central and also Shadow Minister Digital, Science & Technology
  • MARTIN WHITMARSH, Former CEO of the McLaren Formula One Team, Member of the Global Advisory Board of Formula E, Chair of the Offshore Wind Growth Partnership Limited and Chairman of BAR Technologies Limited

Lewis Hamilton said: “Since I began my professional racing career in Formula One, 14 years ago, I was the first driver of colour and to this day, sadly that is still the case. However, what is more concerning is that there are still very few people of colour across the sport as a whole. In F1, our teams are much bigger than the athletes that front them, but representation is insufficient across every skill set – from the garage to the engineers in the factories and design departments. Change isn’t coming quickly enough, and we need to know why. This is why I wanted to set up the Commission and I’m proud to be working with the Royal Academy of Engineering and our incredible Board of Commissioners to identify the barriers facing young Black people to take up STEM careers in motorsport. We are dedicated to this cause and together, we will make a change.”

Commission Co-Chair Dr Hayaatun Sillem said: “At the Royal Academy of Engineering, one of our priorities is to ensure that the UK has a world-leading and truly inclusive engineering workforce, something that we can only achieve if we boost the numbers and diversity of those choosing engineering careers. This is why we are so delighted to be partnering with Lewis in establishing The Hamilton Commission to improve the representation of Black people in UK motorsport. I was honoured to be asked to co-chair with Lewis our wonderful Board of Commissioners, who have each been carefully selected based on their experience, expertise and commitment to tackling racial injustice. This is a truly unique opportunity to drive transformational change on this crucial issue, and in the process to learn more about how we can enrich diversity in other parts of engineering and society.”

The first meeting of the Board of Commissioners took place earlier this month, where the Commissioners shared their initial insights and thoughts on the research plan with Lewis and Hayaatun. The Board will meet quarterly to discuss and inform the latest Commission research and explore how the Commissioners can advance agreed upon recommendations through their networks.

The Hamilton Commission will undertake a range of activities to help inform the research findings. These activities will include an initial data analysis, stakeholder mapping, a literature review in sport, education and employment, as well as in-depth surveying and analysis with youth focus groups and key stakeholders. At the end of the research project, The Hamilton Commission will aim to deliver recommendations about inclusive recruitment and progression practices that will benefit young Black people wishing to work in the sector in the UK, and perhaps internationally too, should the actions be replicable.

The Hamilton Commission has been in development since December 2019 but publicly launched in June 2020 to coincide with the heightened media and public interest in the Black Lives Matter movement, and greater scrutiny of race inequality in society. The Commission will run for nine months and officially began on September 1st, 2020.


Notes to editors

Please contact hamiltoncommission@freuds.com with any requests or questions.

Please visit www.hamiltoncommission.squarespace.com for more information.

For the Board of Commissioners headshots and bios, click here: https://hamiltoncommission.squarespace.com/board-of-commissioners

By |2020-09-23T23:01:00+00:00September 23rd, 2020|Engineering News|Comments Off on Lewis Hamilton and the Academy announce the board members of The Hamilton Commission

Academy welcomes 53 leading UK and international engineers as new Fellows

Fifty-three leading engineers from the UK and around the world have been elected as Fellows of the Royal Academy of Engineering in recognition of their outstanding and continuing contributions to the profession. They join an Academy on a mission to use the power of engineering to build a sustainable society and create an inclusive economy that works for everyone.

All the new Fellows will be formally admitted to Fellowship at the Academy’s online AGM on Tuesday 22 September, and they will add their expertise to a Fellowship of almost 1,600 eminent engineers from both industry and academia.

Sir Jim McDonald FREng FRSE, President of the Royal Academy of Engineering, says: “As the UK’s National Academy for engineering and technology, we bring together an unrivalled community of leading business people and industrialists, entrepreneurs, innovators and academics from every part of engineering and technology.

“The new Fellows who join us today are among the most talented and successful engineers working in the field today, leaders in areas from transport and our essential data infrastructure to lifesaving developments in medical research. We look forward to working with them and benefiting from their ideas and insight as we strive to inform public debate and provide workable solutions to our shared national and global challenges.”

The complete list of Fellows elected in 2020 is as follows, and full details can be found here:

New Fellows 2020

 

Fellows

Dr Rajapillai Ahilan
Group Chief Executive Officer, LOC Group

Professor Philip Blythe
Chief Scientific Adviser, Department for Transport; Professor of Intelligent Transport Systems, Newcastle University

Philip Bond
Professor of Creativity and Innovation, University of Manchester

Billy Boyle
Co-founder and Director, Owlstone Medical

Dr Julie Bregulla
Director, Fire and Building Technology Group, Building Research Establishment

Andrew Bud CBE
Founder and CEO, iProov Limited

Professor Edmund Burke
Deputy Vice-Chancellor, University of Leicester

Professor James Busfield
Professor of Materials and Director of Industrial Engagement, Queen Mary University of London

Professor Jon Carrotte
Rolls-Royce/RAEng Professor of Aerothermal Technology, Loughborough University

Dawn Childs
UK Change Director, National Grid

Craig Clark MBE
Founder and Chief Strategy Officer, AAC Clyde Space

Paul Clarke CBE
Chief Technology Officer, Ocado Ltd

Professor Trevor Cross
VP Innovation, Space and Quantum, Teledyne e2v

Professor Yulong Ding
Founding J. Chamberlain Professor of Chemical Engineering, University of Birmingham

Professor William Drury
Independent Consultant

David Edwards
Operational Excellence Manager, Thames Water

Richard Elsy CBE
CEO, High Value Manufacturing Catapult

Professor Leroy Gardner
Professor of Structural Engineering, Imperial College London

Professor Philippa Gardner
Professor of Theoretical Computer Science, Imperial College London

Professor Deborah Greaves OBE
Head of School of Engineering, Mathematics and Computing, and Professor of Ocean Engineering, University of Plymouth

Professor Joseph Hajnal
Professor of Imaging Science, King’s College London

Professor Yang Hao
Professor in Antennas and Electromagnetics, Queen Mary University of London

Professor Mark Harman
Engineering Manager, Facebook

Richard Hopkins
IBM Distinguished Engineer and President, the IBM Academy of Technology, IBM

Professor Kirill Horoshenkov
Professor of Acoustics, University of Sheffield

Dr Bryn Hughes
Head of Science and Engineering Profession, and Senior Technical Fellow, Dstl

Professor Naeem Hussain
Director, Arup Fellow: Global Bridge Design Leader, Arup

Air Marshall Richard Knighton CB
Deputy Chief of the Defence Staff (Military Capability), Ministry of Defence

Professor David Larbalestier
Chief Materials Scientist, National High Magnetic Field Lab & Francis Eppes Professor, Florida State University (USA)

Professor Peter Lee
Professor of Materials Science, University College London

Professor Kai Hong Luo
Chair of Energy Systems, University College London

Professor Stuart Lyon
AkzoNobel Chair in Corrosion Control, University of Manchester

Professor Cav Sandro Macchietto
Professor of Process Systems Engineering, Imperial College London

Professor Omar Matar
RAEng/PETRONAS Research Chair in Multiphase Fluid Dynamics, Imperial College London

Professor Charles Wang-Wai Ng
CLP Holdings Professor of Sustainability, Hong Kong University of Science and Technology (Hong Kong Special Administrative Region)

Tony O’Brien
Global Practice Leader, Geotechnics, Mott Macdonald

Professor Eann Patterson
A.A. Griffith Chair of Structural Materials and Mechanics, The University of Liverpool

Colin Paynter
Managing Director, Airbus Defence and Space UK

Professor John Robertson FRS
Director of Research, University of Cambridge

Professor Esther Rodriguez-Villegas
Professor of Low Power Electronics and Director of the Wearable Technologies Lab, Imperial College London

Dr Lucy Rogers
Director, Makertorium Ltd; VP of Creativity and Communication, Brunel University

Dr Antony Rowstron
Deputy Lab Director and Distinguished Engineer, Microsoft Research

Dr Norman Smith
Chief Executive Officer, Vision RT Ltd

Professor Richard Stone
Professor of Engineering Science, University of Oxford

Professor Tong Sun MBE
Professor of Sensor Engineering, City University London

Professor Rahim Tafazolli
Regius Professor of Electronic Engineering & Founder/Director of 5G Innovation Centre (5GIC), University of Surrey

Dr Alison Vincent
Non-Executive Director: Synectics Plc, Telesoft Ltd, Connected Places Catapult, uMotif, Cybertonica, Arqit

Roger Wells
Head of Technology (Industrial Turbomachinery) & Innovation Manager (Power Generation)
Siemens UK

Dr Charles Woodburn
Group Chief Executive Officer, BAE Systems plc

Professor Yong Yan
Professor of Electronic Instrumentation and Director of Innovation, School of Engineering and Digital Arts, University of Kent

 

International Fellows

Professor Pan Hui (Finland)
Nokia Chair in Data Science, University of Helsinki; Director of HKUST-DT Systems and Media Lab, Hong Kong University of Science and Technology

Dr Asad Madni (USA)
Distinguished Adjunct Professor & Distinguished Scientist, UCLA

Kunasingham Sittampalam (Malaysia)
Executive Vice Chairman, HSS Engineers Berhad


Notes for Editors

The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone.

In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public.

Together we’re working to tackle the greatest challenges of our age.

For more information please contact: Jane Sutton at the Royal Academy of Engineering Tel. 0207 766 0636; email: jane.sutton@raeng.org.uk

By |2020-09-21T23:01:00+00:00September 21st, 2020|Engineering News|Comments Off on Academy welcomes 53 leading UK and international engineers as new Fellows

Application of Chitosan-Encapsulated Orange Oil onto Footwear Insock Leathers

Johnson Matthey Technol. Rev., 2020, 64, (4), 443

1. Introduction

Footwear is the most commonly worn apparel in daily life, and its design features must prioritise anatomy, comfort and hygiene. For this reason, it is important to develop sustainable improvements to footwear’s functional properties.

Footwear that carries the body’s weight during the day can affect foot health physically, chemically and microbiologically. Continuous contact with the external environment exposes footwear to microorganisms during normal use. All sorts of footwear play a role in the transport, spread and contamination of pathogenic or non-pathogenic microorganisms (1).

There are different microorganisms in every part of the human body. Sweat is regularly secreted from the body under normal conditions. It contains 98% water and urea, uric acid, fatty acid, lactic acid and sulfates (2). The feet have more sweat glands than other parts of the body. Sweat secreted from feet during the usage of footwear is decomposed by means of foot microbiota; as a result, bad odours emerge in footwear. Brevibacterium linens, Staphylococcus epidermidis, Staphylococcus aureus and Escherichia coli are some microorganisms that make footwear unhygienic. As a result of the breakdown of amino acids in sweat and skin by these microorganisms, bad odour arises in feet, socks and footwear (3, 4).

Nowadays, in addition to individual foot care and hygiene for odour prevention in shoes, commercial materials with various deodorising and antimicrobial effects are also employed (5). Footwear insock is a thin layer of materials put into the shoe after manufacture to cover the insole. It directly contacts the sole of the wearer’s foot and can provide a more sanitary environment when specially treated for antimicrobial purposes (6).

Spray drying is an advantageous way to encapsulate active substances and essential oils. Spray drying is a common and accepted encapsulation method for industrial applications. With this method, it is possible to mass produce capsules. The distribution of particles is uniform (710).

Microencapsulation technology has been used for the application of orange oil to textiles and leathers, being an economically viable, fast and efficient method by combining core and shell materials, desirable perceptual and functional characteristics, and also allowing functional substances to be released in a controlled manner. This technique has also been used to microencapsulate a wide range of active, functional, sensitive or volatile substances (1114). Tea tree oil containing melamine formaldehyde microcapsules, essential oils (eucalyptus, lavender or oregano), polyurethane dispersions containing photoactive antimicrobial agents, zinc oxide and silver nanoparticles are some substances that protect upper leathers from the harmful propagation of microorganisms (3, 15). In addition, aromas confined to microcapsules are also used to prevent bad odours in footwear (16, 17). Application of antibacterial and aromatic materials onto footwear insocks to control bad odours is good for foot hygiene and desired shoe comfort.

The use of orange oil presents as an ecological alternative to synthetic chemicals, attracting the attention of the scientific community to the development of eco-friendly antimicrobials. In this study, microparticles were produced by a spray drying method after the emulsions with orange oil and chitosan were prepared in different ratios. Microparticles manufactured in this way were then transferred to the surface of the footwear insock leathers using a finishing process. Afterward, some tests and analyses were performed on microparticle coated footwear insock leather samples to evaluate the effectiveness of the microparticles, their presence on the leather surface and their antimicrobial properties.

2. Experiment

Pharmaceutical grade cold pressed orange oil was donated from Ephesus, Turkey. Chitosan was purchased from Acros OrganicsTM (Belgium). Analytical grade chemicals were used in the analyses. Insock leathers, without dye and ready for experimental application, were donated from Ata Dilek Leather (Izmir, Turkey).

For the microparticle production, chitosan (shell material) was added to 1% w/w aqueous acetic acid for preparing the chitosan solution. This solution was stirred at 45°C by using a magnetic stirrer until wholly dissolved. During the pre-emulsion preparation, orange oil (core material) was gradually mixed into the chitosan solution and stirred for 1 min at 10,000 rpm. The surfactants as compound emulsifiers used for pre-emulsion preparations were Tween 40 with Span 20 at the ratio of 8:2 w/w. Then, the microparticles were prepared by using an SD Basic spray dryer (Labplant, UK) with nozzle diameter of 0.5 mm. The orange oil to chitosan ratios in the four encapsulating compounds came to 1:1, 1:1.33, 1:1.67 and 1:2 w/w. The ingredients of the formulations in the spray-drying process are shown in Table I. Homogeneous emulsions were fed to the spray dryer under the following conditions: pump speed 12 ml min−1, outlet air temperature 114°C and inlet air temperature 175°C.

Table I

Composition of the Formulations

Formulation code Orange oil:chitosan, w/w
T3 1:1
T4 1:1.33
T5 1:1.67
T6 1:2

The microparticles’ morphology was examined by a Quanta 250 FEG scanning electron microscope (FEI, USA) at 2 kV accelerating voltage. Before coating in an argon atmosphere with gold-palladium by a K550X sputter coating machine (Quorum Emitech, UK), the samples were mounted onto an aluminium stub. The grain side of leathers coated with microparticles was examined by a TM1000 tabletop scanning electron microscope (Hitachi, Japan) after coating with gold-palladium.

The FTIR spectra of the spray-dried microparticles and leathers with microparticles were procured by a Spectrum 100 FTIR attenuated total reflectance (ATR) spectrometer (PerkinElmer, USA). The measurements were made using four scans with a resolution of 4 cm−1 between 4000 cm−1 to 650 cm−1 wavenumber ranges at room temperature.

Encapsulation efficiencies of microparticles were calculated as the amount of orange oil (core material) encapsulated in the microparticles. The encapsulation efficiency was calculated using Equation (i) (18).

(i)

A solvent extraction method was used to determine total oil content. A 0.1 g measurement of orange oil loaded microparticles was dissolved in 10 ml of 1% acetic acid solution at room temperature for 45 min. Released orange oil which was obtained from the completely dissolved microparticles was placed in a beaker containing 50 ml n -hexane for extraction 45 min. So as to determine the total amount of orange oil in the microparticles, this extract was filtered through a syringe filter (0.22 μm). Orange oil content in the filtrate was measured using a UV-1800 UV-vis spectrophotometer (Shimadzu, Japan) at 202 nm in triplicate. Surface oil content was also determined by the same solvent extraction method described above, except for a dissolving process in 1% acetic acid solution (11).

In vitro release studies of microparticles and microparticle loaded leathers were carried out at a speed of 100 rpm in phosphate-buffered saline (PBS) and methanol at 37°C. 1 mg orange oil loaded microparticles was suspended in beakers containing 4 ml methanol and 16 ml of PBS. Insock leathers with 2.5 cm2 area were placed in beakers containing 16 ml methanol and 16 ml of PBS for in vitro release studies of microparticle loaded leathers. At suitable time intervals, the medium in the beakers was filtered through a 0.22 μm syringe filter. Sink conditions were maintained in the receptor compartment during in vitro release studies. The released amount of orange oil was analysed by UV method, as previously described, for 5 h. Experiments were performed five times.

A spraying pistol with nozzle diameter of 0.5 mm was used to apply microparticles to the insock leathers during the finishing process. Spray-dried microparticles were added to the finishing recipe as 20 g m−2 (19). The basic finishing recipe for the insock leathers is given in Table II (20).

Table II

Basic Finishing Recipe Applied to Insock Leathers

Materials Amount, part Practice
Water 100 3 × Spray
Anionic wax 50
Non-ionic aliphatic polyurethane binder 25
Orange oil loaded microparticles 12

The efficacy of microparticle coated insock leathers against test microorganisms Staphylococcus aureus ATCC® 6538TM, Escherichia coli ATCC® 25922TM, Candida albicans ATCC® 10231TM, Klebsiella pneumoniae ATCC® 4352TM and Bacillus subtilis ATCC® 6633TM was examined by agar disc diffusion method (2124). Test microorganisms were placed into an incubator for incubation at 37°C for 18 h in the Mueller Hinton broth (MHB) medium. Then, microorganisms were inoculated in petri dishes containing 105 colony forming unit (CFU) ml−1 of Mueller Hinton agar (MHA) medium. Next, microparticle coated insock leather samples with 12.7 mm diameter were placed into the petri dishes (20, 25). All petri dishes were placed into an incubator for incubation at 37°C for 24 h, and inhibition zones were measured to determine antibacterial activity.

3. Results and Discussion

In this study, orange oil microparticles were successfully prepared by spray drying method. This method is a simple, viable method to obtain microparticles, suitable to prevent active substance biological activity loss, avoiding exposure to elevated heating and to organic solvents.

3.1 Surface Appearance of Microparticles and Microparticle Coated Insock Leathers

A scanning electron microscope was used to examine the morphology of the spray-dried microparticles. SEM micrographs revealed that all microparticle formulations have a highly spheroid shape with a morphology approximating an orange peel effect. Microparticles of non-uniform size were observed with clear distinction between shell and core materials. These shape features indicate that orange oil is spread on the surface of the microparticles. The morphology of spray-dried microparticle formulations is shown in Figure 1. Particle morphology (surface, size and distribution) was not affected by the polymer ratio or core:shell ratio. It is observed that there was formation of microcapsules, but they have stuck one to another and an agglomerate of microcapsules occurred. Microparticles with similar morphology were also obtained in other spray drying experiments carried out using natural polymeric mixtures (11, 26, 27).

Fig. 1.

SEM micrographs of microparticle formulations: (a) T3 formulation, 50,000 × magnification; (b) T3 formulation, 10,000 × magnification; (c) T4 formulation, 50,000 × magnification; (d) T4 formulation, 10,000 × magnification; (e) T5 formulation, 50,000 × magnification; (f) T5 formulation, 10,000 × magnification; (g) T6 formulation, 50,000 × magnification; (h) T6 formulation, 10,000 × magnification

SEM micrographs of microparticle formulations: (a) T3 formulation, 50,000 × magnification; (b) T3 formulation, 10,000 × magnification; (c) T4 formulation, 50,000 × magnification; (d) T4 formulation, 10,000 × magnification; (e) T5 formulation, 50,000 × magnification; (f) T5 formulation, 10,000 × magnification; (g) T6 formulation, 50,000 × magnification; (h) T6 formulation, 10,000 × magnification

We also examined the surface appearance of microparticle-free and microparticle-coated insock leather samples. The different microparticle formulations were clearly observed on insock leather surfaces after successful application of the finishing process. Micrographs of insock leather surfaces are shown in Figure 2.

Fig. 2.

SEM micrographs of the insock leather after finishing process: (a) microparticle free; (b) T3 formulation; (c) T4 formulation; (d) T5 formulation; (e) T6 formulation

SEM micrographs of the insock leather after finishing process: (a) microparticle free; (b) T3 formulation; (c) T4 formulation; (d) T5 formulation; (e) T6 formulation

After the finishing process, the presence of microparticles on the insock leather can be seen very clearly for all formulations. The images indicate that the fixation was successfully achieved. Hence, the leather samples preserve the capsule content even after the finishing process.

3.2 Fourier Transform Infrared Spectroscopy Studies

Interactivity between the core material and shell material usually leads to characteristic alterations in the FTIR spectra. FTIR spectra of chitosan, orange oil, microparticles and insock leather samples are shown in Figure 3 and Figure 4. Characteristic peaks at 1029 cm−1, 1149 cm−1, 1373 cm−1, 1419 cm−1, 1585 cm−1, 2867 cm−1 and 3362 cm−1 were demonstrated in the FTIR spectrum of chitosan (Figure 3). The peak at 3362 cm−1 (OH and NH2 stretching) was attributed to the amino group of chitosan. An intense absorption peak was seen at 2867–2922 cm−1 owing to C–H stretching in all spectra. The peak at 1585 cm−1 was attributed to N–H bending of the NH3+ functional group present in the chitosan (28, 29). The peak at 1373 cm−1 confirmed the presence of an amide III band in the chitosan. The C–O–C stretching resulted from the spectra at 1149 cm−1 and 1029 cm−1. The spectrum at 660 cm−1 was attributed to stretching vibration of pyranoside ring (3034).

Fig. 3.

The FTIR spectrum of the chitosan, orange oil and four different microparticle formulations (T3, T4, T5 and T6)

The FTIR spectrum of the chitosan, orange oil and four different microparticle formulations (T3, T4, T5 and T6)

Fig. 4.

The FTIR spectrum of footwear insock leather without microparticles (blank leather) and with four different microparticles formulations (T3, T4, T5 and T6)

The FTIR spectrum of footwear insock leather without microparticles (blank leather) and with four different microparticles formulations (T3, T4, T5 and T6)

The FTIR spectrum of the orange oil showed the distinctive bands of D-limonene, which is the primary constituent in orange oil (Figure 3). Especially, the bands between 2919–2834 cm−1 were attributed to the C–H stretching vibrations in –CH–, –CH2– and –CH3. The spectrum at 2965 cm−1 was attributed to the stretching vibrations of =C–H. The band 1644 cm−1 was attributed to the stretching vibrations of C=C. The band seen at 1435 cm−1 was attributed to the C–H bending vibrations in –CH–, –CH2– and –CH3. The peaks at 885 cm−1 and 797 cm−1 were attributed to the bending vibrations (out of plane) in =CH2 and =C(R)–H, respectively. The band at 1376 cm−1 was also attributed to the C–H bending vibrations in –CH3 (mostly used to describe the existence of methyl) (35, 36).

As seen in Figure 3, most bands in the FTIR spectra of the microparticles belonged to chitosan, which indicated that orange oil droplets were trapped in chitosan (shell material) and that distinctive band of orange oil vanished or declined. Evidently, the free vibrations of orange oil molecules were blocked by the chitosan because of physical interactions such as van der Waals or electrostatic interaction. Furthermore, the intensity of microparticle peaks on the FTIR spectrum was lower than that of chitosan because of the interaction between orange oil and chitosan. The FTIR spectra of microparticles demonstrated the C–H bending vibrations of –CH3 at 1376 cm−1, except the =C(R)–H bending vibration at 797 cm−1, which was presumably due to the fact of the D-limonene ring being covered with chitosan (14, 36).

Figure 4 show that bands between 1535–1547 cm−1 attributed to the NH band of chitosan, did not appear in the blank leather sample (34). Similarly, it was determined that IR band vibration at 1095 cm−1 was observed in the microparticle loaded leathers but absent from the blank leather. That was evidence of the presence of terpenoid, a component in orange oil (37).

3.3 Encapsulation Efficiency

Orange oil loaded microparticles were produced with a high orange oil encapsulation efficiency. The encapsulation efficiency of T3, T4, T5 and T6 formulations were determined as 79.41% ± 3.36%, 81.28% ± 1.69%, 83.56% ± 0.66% and 86.60% ± 1.13%, respectively. A great deal of encapsulated orange oil is preferred. These results showed that the microparticles’ encapsulation efficiency is affected by the core:shell ratio. Increasing the chitosan weight resulted in more encapsulated orange oil, i.e. high encapsulation efficiency. This is an effect similar to the oil:polymer ratio given by Li and associates in their 2013 study (11).

3.4 In Vitro Release Studies of Microparticles and Microparticle Coated Insock Leathers

Figure 5 shows the in vitro release behaviours of orange oil released from microparticles in four different formulations. The quantity of released orange oil was measured at 202 nm in PBS at different times. Previous experiments used PBS as an in vitro release and diffusion medium for topical applications (38, 39). Oil release from microparticulate systems occurs via different mechanisms including diffusion, desorption, disintegration and surface erosion (40).

Fig. 5.

In vitro release of orange oil loaded microparticles

In vitro release of orange oil loaded microparticles

The typical release pattern of the spray dried microparticles is characterised by a small initial burst release and a sustained release rate following that. It can be seen that orange oil release from microparticles gradually increased over time with exposure to PBS, which indicates that the orange oil disintegrated swiftly in PBS. This circumstance is presumably owed to the fact that PBS is slightly alkaline; chitosan is inclined to dissolve in slightly alkaline solution. Nonetheless, it can be seen that the release rate was not affected by chitosan concentration in the formulations. Figure 5 graphs release behaviour as a function of orange oil concentration, which was independent from chitosan concentration.

The in vitro release results of the leathers impregnated with orange oil loaded microparticles in pH 7.4 PBS at 37°C are presented in Figure 6. This line graph shows controlled release behaviour from leather treated with all formulations. Orange oil trapped inside the microparticles caused sustained release up to 24 h. When the formulations are compared to each other, we see the oil release ratio of insock leathers was affected by polymer concentration. High polymer concentration caused a slow release ratio of orange oil.

Fig. 6.

In vitro release of microparticle-coated insock leathers

In vitro release of microparticle-coated insock leathers

3.5 Microbiologic Studies on Microparticle Coated Insock Leathers

Table III shows microbiologic test results of insock leathers treated with four microparticle formulations. An important revelation is that the test microorganisms did not grow on these leather samples. However, in some test groups, a meagre antimicrobial inhibition zone around the insock leather samples meant that orange oil diffusion did not occur. There is a visible zone on Candida albicans in all formulations. T3 and T4 formulations, whose orange oil releases are higher in 24 h, look more effective against Escherichia coli. The antimicrobial activity is dependent on chitosan’s inherent behaviour and orange oil present on leather samples. When the inhibition zones in the T6 formulation are examined, it can be seen that orange oil found in the insock leather samples is more effective than the natural behaviour of chitosan on antimicrobial activity. The antimicrobial effect can be considered as proliferation or non-proliferation in the area under the insock leather samples. This effect is also expressed as contact inhibition. No proliferation was observed on the contact surface of the insock leathers, that is, on the surface where it touches the medium and microorganism. Also, any proliferation on the surfaces or edges of insock leather samples was not observed. There was no difference between leather formulations on the antimicrobial test.

Table III

Microbiologic Test Results of the Microparticle-Loaded Insock Leathers

4. Conclusion

During the usage of footwear, perspiration and bacterial activity negatively impact foot health and generate bad odours from both the feet and footwear. Shoe production using natural and non-toxic materials that prevent or inhibit bad odours and bacterial activity is one solution to this hygienic problem. Likewise, the successful application of microparticles that release for a long time on footwear insock leather is an important alternative to existing toxic products.

Our research found that emulsions with orange oil and chitosan have natural antibacterial activity. These emulsions, when successfully converted into encapsulated powders by a spray drying method, produce a core-shell material. SEM images showed how an effective finishing process was used to apply laboratory produced microparticles to the surface of footwear insock leather. Microbiological tests performed on microparticle coated leathers proved that footwear insock leathers were fortified with antibacterial properties.

These findings demonstrate that application of orange oil-chitosan microparticles onto footwear insock leather surfaces is an alternative natural method to control hygiene and eliminate bad odours. Non-toxic, functional, leather shoes can incorporate such natural materials in their manufacture and maintenance. This production improvement would thus contribute to people’s foot health, hygiene and comfort.

Acknowledgements

The authors would like to thank the Scientific Research Projects Coordination Unit, Ege University, Turkey (Project No: 17FBE006) for financial support and the Turkish Prime Ministry’s State Planning Organisation (Project No: 07DPT001) for equipment provision.

The Authors


Buket Yılmaz graduated from Chemical Engineering, Faculty of Engineering, Anadolu University, Turkey, in 2015. For a period during her undergraduate education, she benefited from the FARABİ exchange programme for further chemical engineering studies at Ege University. Yılmaz won and completed a competitive internship at Turkey’s two leading companies involved in polymers and food production. In 2016, she started her master’s degree at Ege University’s Institute of Science, Materials Science and Engineering. Her scientific expertise has also been employed by the private sector in sales and in the quality control unit of a food production enterprise.


Hüseyin Ata Karavana graduated from the Leather Technology Department, Faculty of Agriculture, Ege University, Turkey. He earned his MSc degree in Leather Technology in 2001 from that institution’s Graduate School of Natural and Applied Science. From 2006 to 2007 he continued his studies as an Erasmus student in the Department of Footwear Engineering and Hygiene at the Tomas Bata University’s Faculty of Technology (Zlin, Czech Republic). Karavana completed his PhD degree in Leather Engineering at Ege University in 2008. Karavana currently serves as Associate Professor in the Department of Leather Engineering at Ege University’s Faculty of Engineering. His research interests are in all manner of leather and footwear engineering including plastic composites, microencapsulation, leather quality and control, footwear quality and control.

By |2020-09-21T08:08:18+00:00September 21st, 2020|Weld Engineering Services|Comments Off on Application of Chitosan-Encapsulated Orange Oil onto Footwear Insock Leathers

Academy announces nine new Policy Fellows

The Royal Academy of Engineering welcomes its third cohort of Policy Fellows

Following a highly competitive selection process, the Academy is delighted to announce the names of nine successful applicants who will join cohort three of its prestigious Policy Fellowships programme:

  • Simon Gallagher, Director Planning, Ministry of Housing, Communities and Local Government
  • Claire Hancock, Deputy CSA for National Security
  • Ragne Low, Head of Heat Planning Team, Scottish Government
  • Rhona McDonald, Assistant Director, Science, Research and Innovation Directorate, BEIS
  • Susan Postlethwaite, Senior Tutor Research, Royal College of Art
  • Hannah Pullen, Senior Policy Advisor (Infrastructure, Enterprise and Growth), Infrastructure and Projects Authority
  • Patsy Richards, Decant Director, House of Commons
  • Sripriya Sudhakar, Head of Regeneration, Tower Hamlet Council
  • Cheryl W, Senior Policy Advisor, UK HMG

We look forward to officially welcoming Policy Fellows when they join us for the programme, which will take place virtually between October and December. Collectively they will meet over 90 leading engineers handpicked from the Academy’s UK and international networks. They will take part in a series of one-to-one meetings with experts, coaching and group workshops, to help them make rapid progress on their chosen policy challenge.  They will learn first-hand how engineers solve problems using techniques such as systems thinking and have an opportunity to expand their personal networks with the Academy’s community of innovators and leaders.

Dr Hayaatun Sillem CBE, Chief Executive of the Royal Academy of Engineering, said:

The Academy’s Policy Fellowships programme has been going from strength to strength and we are very pleased to invite new applicants to join what promises to be another highly stimulating programme. The COVID-19 pandemic has shown just how critical engineering expertise can be in solving some of the biggest problems facing the world. We really hope the next cohort of Policy Fellows will be inspired to apply what they learn as a Policy Fellow to the global challenges of the future.

Policy Fellowships: a network of policymakers connected with the nation’s leading engineers

The Policy Fellowships programme has a growing influence on policymaking practice. It now counts a peer-network of 19 alumni, including:

  • Benjamin Jones, Head of Innovation, Aviation Security Policy, Department for Transport
  • Chris Moore-Bick, Head of Policy, Strategic Research & International Engagement, Defence Science & Technology (DST) Ministry of Defence
  • Hannah Tooze, Head of Land Transport Security, Department for Transport
  • Louise Dunsby, Deputy Director Innovation, BEIS
  • Madalina Ursu, Head of Infrastructure, Greater London Authority
  • Alex Holmes, formerly Deputy Director – Cyber Security, Department of Digital, Culture, Media, and Sport, now Amazon Global Business Development
  • Katie Black, Director of Policy, National Infrastructure Commission
  • Louise Owen, Head of National Security Tech and Innovation Exchange at UK Civil Service
  • Matt Crossman, Team Leader, National Infrastructure Commission
  • Siobhan Campbell, Head of Central Research Team and Deputy Chief Scientific Advisor, Department for Transport

Next cohort: applications open until 15 October 2020

The next cohort of Policy Fellows will start in January 2021. Applications are now open and will close on 15 October 2020. For more information and download the application form please visit www.raeng.org.uk/policyfellowships or email policyfellowships@raeng.org.uk.

Testimonials

Louise Dunsby, Deputy Director Innovation at BEIS, Royal Academy of Engineering Policy Fellow, said: “The Policy Fellowship is transformative. Working with a fantastic cohort and team at the Royal Academy, I delved into an issue I care about and found new and exciting ways to approach problem-solving.”

Louise Owen, Head of National Security Tech and Innovation Exchange at UK Civil Service, Royal Academy of Engineering Policy Fellow, said: “I was blown away by the quality of the experts I was able to share my challenges with. Their openness to help identify and talk through new ideas has been invaluable.”

Matt Crossman, Team Leader, National Infrastructure Commission, Royal Academy of Engineering Policy Fellow, said: “I wanted to reach beyond the NIC’s usual pool of stakeholders, learn from other sectors how they analyse and manage risk across complex systems, and enable government to learn from the private sector. I was able to successfully use the valuable insights from my Policy Fellowship to inform the analysis of systemic resilience and vulnerability, which underpinned the NIC’s 2019 Scoping Report for the Resilience Study.”

Alex Holmes, formerly DCMS, now Amazon Global Business Development, Royal Academy of Engineering Policy Fellow, said: “I got so much from my Policy Fellowship…  it really helped me solve a particular knotty policy challenge. It provided me with generous access to a set of experts, which allowed me to work through my team’s ideas and tap into their years of experience. It gave us a completely different perspective that we would not have otherwise had.”

Notes to editors

  1. About the Royal Academy of Engineering’s Policy Fellowships

The Royal Academy of Engineering’s Policy Fellowship is an intensive professional development programme open to civil and public servants with responsibility for policy design in any sector. The programme connects policymakers with the nation’s leading engineers. It offers policymakers a unique opportunity to make rapid progress on a chosen policy challenge, to expand their personal networks with the Academy’s community of innovators and leaders, and to learn first-hand how engineers solve problems using techniques such as systems thinking.

As the UK’s national academy for engineering and technology, the Royal Academy of Engineering brings together the most talented and successful engineers, finest systems thinkers and outstanding talent in technology for the benefit of society.

The next cohort will run from January 2021. Applications are now open and will close on 15 October 2020.

For more information and download the application form please visit www.raeng.org.uk/policyfellowships or email policyfellowships@raeng.org.uk.

  1. About the Royal Academy of Engineering

The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone.

In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public.

Together we’re working to tackle the greatest challenges of our age.

For more information, please contact Victoria Runcie at the Royal Academy of Engineering.

Tel: 0207 766 0620

Email: victoria.runcie@raeng.org.uk

By |2020-09-18T10:50:27+00:00September 18th, 2020|Engineering News|Comments Off on Academy announces nine new Policy Fellows

Unlocking the Full Evolutionary Potential of Artificial Metalloenzymes Through Direct Metal-Protein Coordination

Johnson Matthey Technol. Rev., 2020, 64, (4), 407

Generation of artificial metalloenzymes (ArMs) has gained much inspiration from the general understanding of natural metalloenzymes. Over the last decade, a multitude of methods generating transition metal-protein hybrids have been developed and many of these new-to-nature constructs catalyse reactions previously reserved for the realm of synthetic chemistry. This perspective will focus on ArMs incorporating 4d and 5d transition metals. It aims to summarise the significant advances made to date and asks whether there are chemical strategies, used in nature to optimise metal catalysts, that have yet to be fully recognised in the synthetic enzyme world, particularly whether artificial enzymes produced to date fully take advantage of the structural and energetic context provided by the protein. Further, the argument is put forward that, based on precedence, in the majority of naturally evolved metalloenzymes the direct coordination bonding between the metal and the protein scaffold is integral to catalysis. Therefore, the protein can attenuate metal activity by positioning ligand atoms in the form of amino acids, as well as making non-covalent contributions to catalysis, through intermolecular interactions that pre-organise substrates and stabilise transition states. This highlights the often neglected but crucial element of natural systems that is the energetic contribution towards activating metal centres through protein fold energy. Finally, general principles needed for a different approach to the formation of ArMs are set out, utilising direct coordination inspired by the activation of an organometallic cofactor upon protein binding. This methodology, observed in nature, delivers true interdependence between metal and protein. When combined with the ability to efficiently evolve enzymes, new problems in catalysis could be addressed in a faster and more specific manner than with simpler small molecule catalysts.

1. Introduction

Metalloenzymes have been prominent in the field of enzyme engineering since its emergence some 40 years ago, at the birth of protein and enzyme engineering (1, 2). Metal ions or cofactors in solution have an intrinsic chemistry that can be catalytic and these are accessible to detailed mechanistic study. These properties mean that co-localisation of substrate and metal within a peptidic scaffold can be sufficient in forming an ArM, without further influence from the protein on the catalytic mechanism. With the advent of modern protein engineering and design technologies, ArMs were developed by incorporating metal binding sites in or adjacent to hydrophobic pockets. While the resulting ArMs were active, they often displayed low efficiency and specificity. Therefore, directed evolution (i.e. iterative rounds of mutagenesis and selection for activity, Figure 1) has become a key step in creating enzymes with new and useful properties. The choice of starting point for such a forced evolution campaign, in this case the metal-protein complex formed initially, is of great importance. Since any particular enzyme follows a unique evolutionary trajectory as new mutations move it along the fitness landscape towards (potentially local) maxima, choice of the starting point may directly predetermine the result. By nature of the selection process, it is further possible, that trajectories leading to the global maximum fitness fall beneath the cut-off limit for further evolution, becoming inaccessible. For instance, a mutation introduced in the first round of mutagenesis may lead to a destabilisation of the protein at assay conditions, causing that initial variant to be discarded through selection. However, a compensating mutation to that variant in a subsequent round of mutagenesis could result in an enzyme which is stable, active and closer to a global fitness maximum. Finally, not every method of generating ArMs may be compatible with current methods for directed evolution and therefore limit the extent of evolution that can be achieved.

Fig. 1.

The general overview of a directed evolution campaign for ArMs. The Darwinian algorithm can be reproduced in the laboratory, greatly increasing the speed of evolution. Mutagenesis methods introduce mutations with various levels of randomness, depending on the method used, to the starting point gene, forming a gene library. This library can then be expressed in a manner that couples expression products and genetic sequence information to yield the different proteins. Upon addition of the metal cofactor, the ArMs are formed and can be selected for improved variants in regard to desired parameters (reaction rates, yield, stereoselectivity, stability). The metal modification step must itself clearly be efficient and high yielding to avoid limiting the library size at that stage. The sequence information of the improved candidates is recovered and can be subjected to further rounds of directed evolution

The general overview of a directed evolution campaign for ArMs. The Darwinian algorithm can be reproduced in the laboratory, greatly increasing the speed of evolution. Mutagenesis methods introduce mutations with various levels of randomness, depending on the method used, to the starting point gene, forming a gene library. This library can then be expressed in a manner that couples expression products and genetic sequence information to yield the different proteins. Upon addition of the metal cofactor, the ArMs are formed and can be selected for improved variants in regard to desired parameters (reaction rates, yield, stereoselectivity, stability). The metal modification step must itself clearly be efficient and high yielding to avoid limiting the library size at that stage. The sequence information of the improved candidates is recovered and can be subjected to further rounds of directed evolution

In this perspective, different routes towards ArMs are considered in the context of the starting protein scaffold as well as the type of catalytic centre and reactions involved. Advances in ArMs have recently been reviewed and the reader is referred to these for further details of the strategies used to find new systems (35). This article aims to provide an overview of the strengths and weakness of these different approaches and to provide a perspective of some challenges that remain.

2. Why Do We Want New Artificial Metalloenzymes?

One particular area that will greatly impact chemical production on this planet is synthetic biology. Replacing synthetic catalysts, acting on petrochemical feedstocks in non-aqueous solvents, with biocatalytic systems working in water with simple carbon neutral feedstocks (carbon dioxide even?) is clearly highly desirable. But why engineer new enzymes, particularly using expensive and relatively scarce transition metals, when the ability to find new catalysts amongst gene products from all corners of the biological world has developed at staggering pace (68)? As a consequence of the latter, any target chemical can conceivably be obtained by recombining pre-existing metabolic pathways (9). What will new and unnatural metalloenzymes provide?

One clear feature is orthogonality: the objective of introducing functionality into a cell that has no counterpart in the natural world could provide chemistry that biology cannot currently catalyse, alkene metathesis for example. As there is a limit to the number of additional transformations a viable cell will perform, these orthogonal reactions may allow access to much shorter, and therefore more efficient, pathways. If not for a synthetic purpose, one could also imagine orthogonal catalytic chemistry providing a diagnostic or reporter output without interference from the host endogenous processes. For it to be truly orthogonal, it is difficult to imagine evolving a new enzyme based around metals already abundant in nature and already used as catalysts in biology. The transition metals used by nature are very carefully controlled by acquisition and regulatory networks that ensure catalytic metal ions are not free to operate outside the endogenous metabolism. Therefore, there is significant advantage in trying to introduce metals that biology currently has no evolved means of metabolising. This work therefore focuses primarily on non-biological transition metal cofactors as a route to introducing novel orthogonal activity into a biologically viable system.

3. Evolutionary Routes to Optimised Artificial Metalloenzymes

Natural evolution has provided numerous examples of metal ions used by enzymes for a plethora of different catalytic purposes. Rigorous mechanistic and structural biochemistry has advanced understanding of the mechanistic detail of metalloenzyme activity significantly, to the point that a few underpinning principles can be identified, linking protein structure and thermodynamics to catalytic activity of metal centres. Together with the knowledge garnered from extensive research on transition metal catalysts, it is possible to establish key properties desirable for novel ArMs.

3.1 Considerations on Protein-Substrate Interactions

As mentioned above, the ability of enzymes to organise reactants cooperatively can in itself give rise to enhanced activity over background rates in solution and in highly evolved systems this may even be the greatest factor driving increased reaction rates. It is important to realise that while metal-substrate proximity may be enough to confer reactivity, directional metal-substrate orbital overlap also plays a crucial role in activating the substrate to react. Indeed, it is via the formation of metal ligand, including metal substrate, molecular orbitals that the substrate chemistry is attenuated by the presence of the metal and that catalytic reactivity can be achieved. Significant computational advancements have been made in the in silico design of catalytic metal binding sites (10, 11) and the mechanistic understanding of reported ArMs (1215). However, given the lack of reliable parameters for defining transition metal bonding, and the immense complexity of the many low energy interactions that determine the coupling of protein folding to the binding of small molecules, it is beyond current computational capabilities to predict what primary sequence and cofactors are necessary to achieve the optimal arrangement for metal catalysis. It therefore becomes important to have a malleable, promiscuous starting system that can be used to sample a large space of different structures (16). Hence, while choosing proteins with well-defined properties and unique structures has some advantages from a design point of view, starting points that do not fold into one specific structure may be desirable, since they are not as closely constrained by any one particular energy well. For similar reasons, in choosing a particular chemical strategy for introducing a metal cofactor into the protein, it becomes essential to use a method that allows for high throughput selection or screening (17).

3.2 Considerations on Metal Chemistry in Proteins

In addition to sampling sequence space to optimise the geometrical factor, protein evolution offers the unique possibility of sampling transition metal chemistry by poising the metal in energised states. In small molecule transition metal catalysis, ligands will arrange around the metal centre to maximise bonding interactions and reach a thermodynamic minimum. In order to maintain the ligand exchange necessary for catalysis, some ligands tend to be weakly bonding, with the presence of strongly bonding ligands (for instance water or hydroxide) being a major factor in catalyst poisoning. In enzymes however, the intramolecular bonds generated within the whole protein scaffold can be used to place and maintain coordinating atoms from amino acids. These interactions can be seen as the second coordination sphere, shaping the metal complex and potentially leaving the first sphere ligand atoms in a suboptimal configuration around the metal centre so that the energy of the resulting complex is not at a minimum on the coordination energy landscape. The stabilisation of this complex is made possible by the favourable intramolecular peptidic interactions (i.e. protein fold energy) offsetting the steric and electronic distortion of the optimum geometry (18). These energised, or entatic, states have a reactivity that is not easily realised in conventional, synthetic metal catalysts, if it is possible at all (19). This effect is most easily visualised by considering the common biological process of activation of inert cofactors by alteration of coordination upon binding to their respective apoenzymes. For instance, on their own the cobalt metallo-organic cofactor, vitamin B12 and methionine synthase are catalytically inert; upon protein-cofactor binding and coordination of the cobalt centre to a specific histidine, methyl transfer activity is unmasked with great control and substrate specificity (2022). Applying this principle, it can be envisioned that even with the limited donor atoms available to proteins, a vast number of different complexes with different chemistries can be accessed, because the exact positioning as well as characteristics of the ligands dictate metal properties such as electron density, redox potential, Lewis acidity and ligand exchange rates. Further, the metal cofactor does not need to be a bare metal ion but could be incorporated with other ligands already attached. Interaction between these ligands (for instance π–π stacking with an arene ligand) and the protein can be relayed to the metal centre and allow for an even finer tuning of the metal centre. Again, current possibilities for design are insufficient to predict these effects which can be very subtle, highlighting the need for biochemical high throughput screening methods.

3.3 The Optimal Method of ArM Formation

The above considerations define a range of requirements for potential methods of forming ArMs. Primarily, there needs to be a direct connection between the protein scaffold and the metal ion in the form of at least one coordination bond, not only for localisation but also for poising the metal reactivity. As will be detailed below, most of the successful methods of generating ArMs published to date are efficient but rely on fully saturated, catalytically active cofactors such as commercial transition metal catalysts decorated with a linker moiety. These cannot make use of the protein fold energy to optimise the chemical process of catalysis, a potential factor in why directed evolution campaigns of ArMs have been of limited success. Whereas improvements in enantioselectivity and turnover number have been reported, which can be traced to substrate binding and the hydrophobic micro-environment respectively (2325), significant increases in the chemical turnover rate (in many systems characterised by the initial kcat) from the free cofactor to the formed ArM have so far been limited. Small changes in kcat can be explained by organisational effects and indirect interactions with the substrate orbitals, such as charge compensation. As demonstrated by Hilvert et al., significant increases in kcat have been shown to be possible by fine tuning the actual centre of reaction, which is the first coordination sphere of the metal complex (26). From the perspective of the protein scaffold, the formation of an entatic state requires the peptide to be at least partially folded before binding the metal. The more defined the fold, the greater the ability of the fold to energise the metal complex. This is in contrast to the desirable dynamic system for the evolutionary process. A potential compromise can be struck by using a starting scaffold that is partially folded as the apoprotein and upon cofactor binding rigidifies to a completely folded form. The initial folding energy can be used to poise the metal in an activated state, while the folding process occurring during cofactor binding allows for the system to adapt during directed evolution. Once the ArM becomes more specialised after rounds of evolution, the apoprotein will probably approach a more fully folded form, yielding an ArM after cofactor addition that is less promiscuous but contains a more energised and active metal centre.

To summarise, the number of different complex chemical factors required of ArMs demand the use of directed evolution in order to form enzymes with industrially and medically relevant properties. In order to ensure a high level of engineerability, an optimal methodology for combining 4d and 5d metals starts with a highly promiscuous and malleable holoprotein that further has dative bonds between the metal ion and the peptidic moieties. A further point considering the cofactor attachment point is that the cofactor should be in a deep cleft within the protein topology rather than at the surface. This is to allow the protein to maximise substrate binding and secondary transition state stabilising effects, as well as second sphere interactions influencing the metal complex.

4. Strategies for Generating Artificial Metalloenzymes

ArMs are generated either from the combination of an unnatural transition metal cofactor being introduced into a protein scaffold or a natural metalloprotein being evolved in a laboratory to enhance or alter its natural catalytic reactivity. A detailed review of the field of the directed evolution of natural metalloproteins is out of the scope of this perspective. However, the engineering and evolutionary approaches developed by Frances Arnold and applied to haem metalloproteins (for example, cytochrome P450) are particularly noteworthy and applicable when evolving unnatural metal-protein hybrid catalysts (2729). Four successful strategies have been employed to localise an unnatural metal to a well-defined location within a protein matrix.

4.1 Metal Ion Substitution in Natural Enzymes

Natural metal cofactors can be found in proteins encapsulated by ligands supplied by the protein or with non-protein ligands also coordinated. This enables two different methods of metal substitution: (a) substituting the metal ion in a protein defined coordination site; or (b) substituting the metal ion in a natural metal-organic cofactor (such as haem) (Figure 2).

Fig. 2.

Schematic representation of metal ion substitution in natural enzymes. The natural cofactor (red) can be substituted with a suitable unnatural cofactor (blue). This may include the bare metal ion or larger cofactors such as haem

Schematic representation of metal ion substitution in natural enzymes. The natural cofactor (red) can be substituted with a suitable unnatural cofactor (blue). This may include the bare metal ion or larger cofactors such as haem

Many ArMs have been generated by substituting the catalytic Zn(II) ion located in a His3 binding site of carbonic anhydrase with different metals, for example, Coleman et al. reported esterase activity of a Co(II) substituted carbonic anhydrase (30). Replacement with different Rh(I) species has also been explored, with catalytic hydrogenation (31) and hydroformylation (32) demonstrated. However, these rhodium metalloenzymes have a much slower activity than commercial small molecule rhodium catalysts alone. Although in these examples it is demonstrated that unnatural metal complexes can coordinate to the natural Zn(II) binding site, relatively low catalytic activity is observed. The highly evolved zinc binding site contains a complex secondary sphere architecture, in order to modulate the Lewis acidity of zinc. The chemically different demands for rhodium catalysed hydrogenation and hydroformylation reactions will therefore not be met in this system. Further, evolution of such a specialised system may be difficult.

Hartwig et al. reported taking the metal-organic cofactor haem and substituting iron for a range of different 4d and 5d metals (including rhodium, ruthenium, iridium and silver) (33). In one particularly comprehensive example, an Ir(Me) porphyrin was incorporated into the cytochrome P450 enzyme CYP119 and catalytic functionalisation of C–H bonds to C–C bonds by carbene insertion was demonstrated, capable of high stereospecificity (25). Evolutionary campaigns on this artificial iridium metalloenzyme generated variants with an impressive 4000-fold increase in catalytic efficiency (defined by the kcat/KM), with kinetic parameters and selectivities matching those of native enzymes. These parameters highlight the potential of this attachment method, and in particular the advantages of introducing exogenous metal cofactors with non-protein ligands remaining coordinated upon ArM formation.

In this case, the mutations made to this iridium CYP119 metalloenzyme have greatly optimised the binding and pre-organisation of the substrate for catalysis, lowering the value for KM, (Figure 3). In this system there is no direct iridium-protein coordination; the iridium metal is coordinatively saturated by four haem nitrogens, one methyl ligand and coordination to the substrate. Therefore, the moderate increase in kcat cannot have come through an electronic (through bond) contribution to catalysis from amino acid side chain ligands and protein fold energy but must arise from other minor contributions as discussed in the previous section. Another limitation of such a system is that it does not allow for the metal to interact with more than one substrate at a time, an essential feature of many interesting organometallic transformations such as metathesis.

Fig. 3.

Comparisons between the activities of a bare cofactor and ArM before and after directed evolution. The data in this figure are taken from the work of Hartwig et al. (25). This elegant study is a good example of the issues encountered when using fully substituted artificial cofactors, even in highly optimised systems. Whereas directed evolution was able to achieve an impressive 4000-fold increase in kcat/KM, the actual chemical kcat was only moderately enhanced when compared to the cofactor in solution. This can be explained by the enzyme evolving to more strongly bind the substrate and optimise the orientation of the substrate-metal complex. However, as there is no direct metal-protein interface, directed evolution cannot influence the metal chemistry, capping the chemical potential at that observed for the free cofactor in solution

Comparisons between the activities of a bare cofactor and ArM before and after directed evolution. The data in this figure are taken from the work of Hartwig et al. (25). This elegant study is a good example of the issues encountered when using fully substituted artificial cofactors, even in highly optimised systems. Whereas directed evolution was able to achieve an impressive 4000-fold increase in kcat/KM, the actual chemical kcat was only moderately enhanced when compared to the cofactor in solution. This can be explained by the enzyme evolving to more strongly bind the substrate and optimise the orientation of the substrate-metal complex. However, as there is no direct metal-protein interface, directed evolution cannot influence the metal chemistry, capping the chemical potential at that observed for the free cofactor in solution

4.2 Supramolecular, Non-Covalent Binding of Tagged Complexes

There are many specific complexes between proteins and small molecules which are well understood and have very high affinity. ArMs have therefore been generated where a catalytic metal complex has been attached to a small molecule with high affinity for a protein target (Figure 4). This means of localising the new cofactor into a protein scaffold has been widely explored. Building on the work of Wilson and Whitesides in the 1970s (34), Ward and coworkers have assembled ArMs based on the high supramolecular affinity of small molecule biotinylated metal catalysts for the protein streptavidin. As many as 12 different catalytic transformations have been performed by these metal-streptavidin hybrids, including ruthenium-catalysed olefin metathesis (17), ruthenium-catalysed deallylation (35), iridium-catalysed transfer hydrogenation (24) and dirhodium-catalysed cyclopropanation (36), all in vivo.

Fig. 4.

Schematic representation of supramolecular, non-covalent binding of tagged complexes. The metal cofactor (red) is localised by non-covalent interaction between a ligand bound recognition group (blue) and the protein

Schematic representation of supramolecular, non-covalent binding of tagged complexes. The metal cofactor (red) is localised by non-covalent interaction between a ligand bound recognition group (blue) and the protein

This strategy has also been employed in ArMs that were reported by Tanaka et al. for potential therapeutic application. In this example, a coumarin derivative tagged with a ruthenium metathesis catalyst was localised to a hydrophobic binding site in human serum albumin. The metalloenzyme was directed to cancerous tissue (through specific glycosylation) and a pro-drug was administered which upon metathesis induced cellular death (37).

One key benefit of supramolecular assembly is apparent in the examples described above, and that is that the conjugation between metal and protein is robust enough to be performed in complex cellular environments. Furthermore, unlike covalent attachment, supramolecular assembly can be a reversible process, which allows for component recycling. In a recent report of Duhme-Klair et al. catalytic transfer hydrogenation is demonstrated from a siderophore-protein combination that enables strong but redox-reversible catalyst anchoring (38). All current examples of ArMs generated by supramolecular assembly do, however, rely on the assembly of proteins with known, highly catalytically active metal complexes. As discussed previously, using complexes which maintain their ligand set during ArM formation does not allow the metal complex to be subjected to evolutionary pressures limiting the evolutionary potential.

4.3 Covalent Anchoring Through Metal Ligands

Covalent anchoring relies on using a chemical reaction to covalently link a protein side chain to a strong ligand for a metal (Figure 5). Covalent anchoring methods can be split into two broad categories: (a) modification of a natural amino acid side chain (for example cysteine, lysine or tyrosine), via a nucleophilic–electrophilic reaction and (b) coupling through a genetically encoded unnatural amino acid (UAA).

Fig. 5.

Schematic representation of covalent anchoring through metal ligands. The metal cofactor (red) is attached to the protein by a reaction forming a covalent bond, for instance nucleophile (Nu) attacking an electrophile (E)

Schematic representation of covalent anchoring through metal ligands. The metal cofactor (red) is attached to the protein by a reaction forming a covalent bond, for instance nucleophile (Nu) attacking an electrophile (E)

There is a resurgence in research for developing novel bioconjugation and protein modification techniques of natural amino acids (such as cysteine, lysine or tyrosine) (39, 40). Generating ArMs through cysteine modification is attractive due to the high nucleophilicity and rarity of free cysteines allowing for greater control of reactivity. Salmain and coworkers have modified the free Cys25 in the cysteine protease papain, using a variety of ruthenium, rhenium and rhodium complexes all functionalised with either a maleimide or chloroacetamide group (4143).

The pioneering work of the Schultz laboratory enabled incorporation of UAAs into protein scaffolds (44). Since then, the most successful generation of ArMs involving a covalent linkage to an UAA were reported by Lewis et al. and involve a reaction between an alkyne-substituted dirhodium catalyst and a genetically encoded L-4‐azidophenylalanine residue through strain-promoted azide-alkyne cycloaddition (SPAAC) (4547). Hypothetically, UAAs could be encoded into a specific residue of most proteins; here, the protein scaffold selected was a β-barrel prolyl oligopeptidase and the resulting metalloenzymes generated catalysed olefin cyclopropanation.

The effectiveness of introducing UAA via stop codon methodology is that theoretically the same conjugation technology is applicable to many different proteins to generate diverse ArMs through a specific, fast and irreversible covalent conjugation. Beside commonly relying on pre-formed metal complexes, an overarching issue of covalent attachment and supramolecular assembly is that the protein scaffold is used predominantly as an auxiliary providing a chiral and hydrophobic micro-environment. Further, many reported methods utilise a long flexible linker between the point of attachment and the metal complex which could remove the catalytic centre from the very interactions needed for the protein to exert an influence on transition states.

4.4 Direct Activation by Metal Coordination to Protein Side Chains

Dative ArMs have one or more coordination bonds directly from the metal to a Lewis basic amino acid residue (His, Cys, Ser, Glu, Asp) on the protein scaffold (Figure 6). The protein therefore has a direct electronic influence on the reactivity at the metal centre. The active hybrid molecule is formed by substitution reactions from a precursor metal species and the apoprotein. This allows for potentially very clean reaction conditions for assembly of the metal-protein complex. Although advances have been made, the complexity of these metal-protein binding processes remain a major challenge for the design of competently folded and catalytically active metalloproteins from scratch. It is important to distinguish between metalloenzymes where coordination to the metal is provided only by amino acid sidechains, substrates and solvents, and those in which the metal brings its own specific ligands with it. The latter, metal cofactors would be artificial versions of commonly encountered natural examples such as haem, vitamin B12 and molybdopterin which are (bio)synthesised separately and bind to the protein through both non-covalent interactions and coordination. As pointed out above, their activity is defined by the other ligands they carry to an active site as well as the coordination by the protein.

Fig. 6.

Schematic representation of cofactor attachment via direct activation by metal coordination to protein side chains. The free metal cofactor (red) attaches to Lewis basic residues on the protein (LB) via ligand substitution reactions, forming a new metal-protein complex (blue)

Schematic representation of cofactor attachment via direct activation by metal coordination to protein side chains. The free metal cofactor (red) attaches to Lewis basic residues on the protein (LB) via ligand substitution reactions, forming a new metal-protein complex (blue)

Degrado and coworkers have pioneered the design of a number of synthetic proteins which directly coordinate bare metal atoms or metal cofactors (10, 48). For example, in some of the earliest work, the His3-Zn(II) binding motif found in carbonic anhydrase was introduced into a designed four helical bundle protein, and hydrolytic activity was observed (49). More recently, de novo design has been coupled with directed evolutionary approaches to generate an artificial zinc metalloenzyme capable of accelerating ester cleavage with un-paralleled catalytic efficiency (kcat/KM of 106 M−1 s−1) (26).

In a range of studies (13, 5052), Roelfes and coworkers use amber stop codon technology to introduce the UAA (2,2′-bipyridin-5yl)alanine into a range of protein scaffolds. Upon addition of different bare metal ions, they were able to obtain ArMs catalysing the Friedel-Crafts alkylation of indoles, enantioselective metallohydration and the stabilisation of a semiquinone radical. By the use of sophisticated computational design, the group was able to introduce beneficial point mutations in many of the novel hybrid molecules, improving both enantioselectivity and yield. The advances in stop codon technology to introduce UAAs, especially in the context of directed evolution, make their use a promising option and provides an enticing method for expanding the ligand set available to the protein scaffold (5355). In another study, Reetz and coworkers computationally designed a Cu(II) ion binding site into the thermostable protein imidazole glycerol phosphate synthase (56). The resulting ArM was able to catalyse the Diels-Alder cycloaddition of an azachalcone and cyclopentadiene with medium selectivity, however, to our knowledge no subsequent directed evolution experiments have been reported.

In contrast to these examples of forming the complete coordination sphere by binding a bare metal to the apoprotein state of the ArM, to the best of our knowledge there are only very few examples of adding exogenous metal complexes (particularly 4d and 5d metal complexes) as precursor cofactors which then show catalytic activity upon direct coordination to a protein (57). This is a particularly attractive methodology as the challenges of taking unnatural ligands such as arenes, carbenes and phosphanes into biology become opportunities for expanding the repertoire of chemistries available for catalysis. Controlling the ligand exchange behaviour of 4d and 5d metal complexes with protein side chain ligands is challenging, not least because coordination bonds between ligands and heavier metals are often stronger than their 3d counterparts and hence exchange rates are slower. This, however, remains an exciting area of research due to the catalytic diversity demonstrated by many 4d and 5d metal complexes. In this specific area our own work has focused upon ruthenium complexes and their ligand exchange behaviour with biological systems, laying the foundation for future work into ArMs with direct metal-protein coordination (58, 59).

5. Summary and Outlook

Significant advances in the incorporation of organometallic complexes into proteins in order to generate ArMs have been made. The studies highlighted above reliably create hybrid molecules where the stability and turnover number of the metal centre is higher than the comparable small molecule organometallic complex in aqueous solution. Maybe unsurprisingly, the propensity for side reactions and catalyst decomposition is lowered once the complex is in a hydrophobic protein environment, already showcasing the usefulness of these hybrid systems. However, the question remains, as to whether or not these strategies make full use of the protein component. The unique and numerous demands of ArMs call for a highly integrated approach. To date, most of the work described in the literature attempts to exploit the chemistry of metal ions and their complexes in a protein scaffold but with limited influence from the protein on any catalytic activity because metal-protein coordination is largely indirect and so cooperativity is limited.

The potential for synthetic organometallic chemistry to deliver cofactors which utilise ligand chemistry not available to naturally evolved systems can vastly expand the orthogonal catalysis available in synthetic biological applications. Using such molecules to embed novel metal-peptide hybrid complexes in protein scaffolds allows for three-dimensional and electronic control around the metal centre that reduces the need for intricate synthetic catalyst generation. Instead, control of the steric and electronic environment around the metal ion can be delivered via the protein coordination sphere, particularly where a direct coordination bond is used to anchor the metal ion to the protein. When combined with the ability to efficiently evolve enzymes, a sophisticated organometallic precursor complex together with a suitable apoprotein could potentially give rise to a number of diverse reactivities. Therefore, new problems in catalysis could be addressed in a faster and more specific manner than with small molecule catalysts. Together with non-covalent contributions to catalysis and the intermolecular interactions that pre-organise substrates and stabilise transition states, such a system contains many readily evolvable components.

The majority of protein scaffolds selected for ArM construction have been chosen because of their apparent engineerability. However, in most cases the focus seems to lie solely on the peptidic component with little consideration for evolution of the metal complex. Although methods of selection and directed evolution have been applied, these are often operating on already well-defined protein scaffolds that carry an abiotic cofactor but not a direct protein-metal complex, which inevitably limits the scope for evolution. Arguably it is desirable, therefore, to select for a promiscuous and versatile protein starting point which is not constrained by one energy minima but instead can potentially offer numerous distinct metal-binding environments, both in terms of direct coordination and through secondary, intramolecular spheres of influence, ultimately generating differential catalytic ArM activity.

Performing catalysis with exogenous metal complexes within cellular environments has enormous potential applications in medicinal chemistry and synthetic biology. Given the potential difficulties associated with cell-uptake, minimising deactivation, overcoming toxicity of exogenous metal ions and precise localisation of metal cofactors in cells, the idea of using traditionally inert organometallic complexes has obvious advantages in that reactive promiscuity is reduced. As pointed out above, such complexes would be designed to have a latent catalytic activity which emerges once the metal complex is bound to a protein. The design challenges raised by this approach are not just as a result of a need to control the electronic and three-dimensional steric coordination sphere of the metal ion, but also to limit ligand exchange processes, restricting lability of a precursor complex (in the cellular milieu) until it reaches a specific protein target. Since the metal-ligand exchange processes for 4d and 5d metal complexes are typically slow, they are particularly attractive from this point of view but are hard to predict ab initio.

6. Conclusion

In conclusion, in order to optimise the chemistry and biochemistry of ArMs, directed evolutionary campaigns coupled with high throughput screening methods rather than individually-designed synthetic strategies are much more likely to generate optimised orthogonal catalysts for new and efficient metabolic processes. Direct coordination between metal ions and enzymes is essential in order to deliver truly interdependent systems, ideally where entatic states deliver enhanced reactivity, efficiency and selectivity that cannot easily be replicated in conventional, synthetic metal catalysis. Going forward, methods of generating ArMs should be evaluated and developed for both their ability to be used in directed evolution procedures and the extent to which the protein scaffold participates in the activity of the metal complex.

Acknowledgements

George Biggs is supported by the Engineering and Physical Sciences Research Council (EPSRC) (EP/N509620/1) and Peterhouse, University of Cambridge, UK. Oskar James Klein is supported by the EPSRC (EP/R513180/1). Sally Boss and Paul Barker thank the Department of Chemistry, University of Cambridge. We thank Florian Hollfelder for deep discussions.

The Authors


George Biggs completed an MChem in Chemistry at the University of Bath, UK, in 2016. He is now a PhD student in the Department of Chemistry at the University of Cambridge. Supervised by Paul Barker and Sally Boss, his project is focused on understanding the reactivity of Ru(II) arene complexes with proteins for the development of novel ArMs.


Oskar James Klein obtained an MSc in Chemistry from the University of Cambridge in 2019, where he remains as a PhD student in the Department of Chemistry. Supervised by Paul Barker and Sally Boss and in collaboration with Professor Florian Hollfelder his project tries to develop a high throughout methodology for the formation and evolution of novel ArMs.


Sally Boss studied for an MSci in Chemistry at the University of Bristol, UK, and Heidelberg University, Germany, before moving to the University of Cambridge to begin a PhD on the synthesis and reactivity of Lewis acidic, heterobimetallic main group compounds. Shortly after obtaining her PhD in 2005, she was appointed to a joint College Lectureship in the Department of Chemistry and at Churchill College, University of Cambridge. Her time is split between teaching and research and her specific interest is in improving the utility of heavy metals in biology by careful design of complexes, targeted direction of metal-cofactors to protein targets and using spectroscopy to understand how they behave in situ.


Paul Barker is Senior Lecturer at the University of Cambridge, Department of Chemistry, and a Fellow of Downing College, University of Cambridge. His research has always been at the interface between inorganic chemistry and biology. It started in the field of electron transfer proteins studied by biophysical methods and mutagenesis, in the early days of protein engineering. After two, independent Medical Research Council (MRC), UK, and Biotechnology and Biological Sciences Research Council (BBSRC), UK, fellowships in Cambridge he joined the Chemistry faculty and has been combining protein engineering with synthesis and self-assembly for the purposes of generating novel protein based electronic and catalytic systems. His current interests span protein design and evolution, self-assembling materials and synthesis of organometallic complexes.

By |2020-09-17T06:56:05+00:00September 17th, 2020|Weld Engineering Services|Comments Off on Unlocking the Full Evolutionary Potential of Artificial Metalloenzymes Through Direct Metal-Protein Coordination

Reduction of Biofilm Formation on Cooling Tower Heat Exchangers using Nano-silica Coating

Johnson Matthey Technol. Rev., 2020, 64, (4), 419

1. Introduction

A cooling tower is a heat dissipation unit which cools bulk water in industrial systems. Cooling towers provide cooling by spraying the heated water coming from the system onto a fill material and rejecting the heat to the open atmosphere (1). The cooled water returns to a basin to recirculate again through the system. Common uses of wet cooling towers include air conditioner systems, manufacturing facilities, telecommunication devices and power plants. Such man-made installations provide an ideal environment for bacterial growth similar to an incubator, supported by water temperatures ranging between 24°C and 38°C (24). The heated water comes from the source to the heat exchanger that allows the exchange of heat between two liquids at different temperatures by indirect contact inside water jacketed tubes (5).

Wet cooling towers providing cool water for heating, ventilating and air conditioning (HVAC) systems are known to be subject to contamination. Organic and inorganic substances in bulk water are deposited on the water contact surfaces, reducing the heat transfer significantly and threatening the operating stability of the whole system. Established biofilms offer cleaning challenges because they are resistant to most chemical and physical cleaning protocols and they also reduce the heat transfer efficiency (6, 7). HVAC systems are responsible for about half of the energy consumed in modern buildings and industrial facilities. Therefore, biofouling is always a significant issue for heat exchangers and should be taken into account during heat exchanger design and production. As a solution, altering the surface properties could be an effective approach to reduce biofouling in such hard-to-reach articulated systems (2, 8, 9).

A biofilm layer is a community formed by bacterial cells living in a polymeric matrix that they produce; a functional partnership adhered to a living or inanimate surface organised by microorganisms in a dense exopolymer matrix. The capability of microbes to stick to a substratum and to produce a biofilm layer has great significance in a diversity of cooling towers, where fouling can act as a perpetual source of contamination. Biofilm layer must be kept to a minimum in order to prolong the operating life of man-made water systems and facilitate control of pathogens. Disinfectants may be used for this purpose (4, 9).

Industrial cooling towers can be manufactured from different materials. Generally, towers are made of reinforced concrete or fibreglass, stainless steel, wood or reinforced plastic sheets. The fill material is generally made of plastic sheets (polypropylene, polyethylene or polyvinylchloride) where heat dissipation occurs. For corrosion resistance, towers are specially treated, painted and covered with a protective film layer (7). In the case of corrosive water or atmospheric conditions, the use of plastic towers is recommended. But heat exchanger units are made of stainless steel or copper for better thermal conduction (5). The critical issue that affects cooling is the aggregation of deposits over the heat exchanger surfaces which includes biofouling. Conventional steel heat exchangers may have corrosion or deposits may have formed on the heat exchanger tubes. Both of these factors reduce the heat transfer rate (10). To solve this problem, novel anti-fouling coatings are considered. Nano-silica can be used in the form of liquid composites in many matrices as coating materials. Nano-silica is used in the textile and automotive industries because of its self-cleaning, abrasion resistant, hydrophobic and oleophobic features. It is known that nano-silica is able to create low-cost, hard and tough coatings which are resistant to wear and weathering (11).

Although biofilm formation on plastic fill surfaces in wet cooling towers has been studied widely, no studies were found on biofilm formation on steel heat exchangers in cooling towers. As coating of heat exchangers is not common, the aim of the current work was to limit tenacious biofouling on heat exchangers using a nano-silica coating, which will lead to longer material life, better cooling of water and less clogging in closed-loop systems.

Materials and Method

A brand new fabricated closed-loop cooling tower was monitored for six months. A real size, fully working closed-loop cooling tower system was kept in operation by the manufacturer during the experimental period at the factory test laboratory. The system was filled with distributed network water. Regular blowdown was implemented to limit the concentration of dissolved solids. In a circulation rig, hot process water was kept separate from the cooling water in a closed-loop system (Figure 1). For the experiments, a half portion of the stainless steel (316 SS) heat exchanger tubes were coated with nano-silica and the other part was left without coating. Coating was done by coaxial electrospraying before assembly and left to cure in air for 24 hours. Coaxial electrospraying has several implicit advantages such as high encapsulation efficiency and uniform particle distribution. The coating thickness was between 4–6 μm. Before coating, the heat exchanger tubes were sprayed with 96% ethanol to remove any dirt, oil or grime. This application made the bonding of the coating stronger.

Fig. 1.

Schematic view of the cooling tower and heat exchanger

Schematic view of the cooling tower and heat exchanger

Silica in powder form is hydrophilic. To produce hydrophobic nano-silica, the silica particles were transformed by fluorination to confer hydrophobicity. The final particle size was about 40 nm. The aqueous form of the nano-silica coating contains ethanol as solvent to keep it in liquid form before use. The final nano-silica product was supplied by a local company. After curing, the coating was solid on the surfaces, and no colour change, shedding or weight loss were observed on any of the coated test surfaces after the experimental period. The stability of the coating was tested in a different study by the present author (9) and the mean overall adhesion capability of the coating was recorded as 1.6 using a pull-off adhesion tester, which matches very well with the general rating of adhesion. Water was circulated over the stainless steel (316 SS) heat exchanger tubes, where natural biofilm formation was allowed to occur. Sampling of the biofilm required dismantling the outer shell of the heat exchanger unit every month. The system temperature water was kept constant at 37°C using an electrical heating unit to eliminate temperature fluctuation which might influence biofilm formation over time.

Pipe segments were cut monthly from the heat exchanger using an angle grinder, kept in a container filled with system water and brought quickly to the laboratory for analysis. LIVE/DEAD® Bac LightTM Bacterial Viability Kit (InvitrogenTM, Thermo Fisher Scientific, USA) dye was added immediately to cover the surfaces completely to stain the actively respiring and dead bacteria. After 15 min, the surfaces were rinsed with sterile bi-distilled water to remove unattached cells, air dried, covered with immersion oil and cover slip, then examined in the dark. This was repeated every month until the study finished at the sixth month. An epifluorescence microscope (Eclipse 80i, Nikon Instruments Inc, Japan) was used to visualise the biofilm cells in situ. The camera enables counting and taking images of bacteria on solid surfaces, with the signals displayed on the computer monitor. Counting and recording were carried out using special software (NIS-Elements, Nikon Instruments Inc, Japan). Signals obtained from 20 randomly selected regions were recorded. Images were saved for later analysis.

The LIVE/DEAD® kit stains dead cells red and live cells green in colour. The LIVE/DEAD® test kit contains two DNA-binding dyes, propidium iodide and SYTO® 9. These dyes differ in their spectral properties and their ability to enter the living bacterial cell. The first dye in the kit is SYTO® 9, which can pass through the membrane of all bacteria and stain the cells green. Propidium iodide only enters into cells with a damaged cell membrane, allowing them to appear red under fluorescent light. The number of viable and dead bacteria on surfaces can be determined in a single step using a dual emission filter cube (Chroma Technology GmbH, Germany).

For both parameters over the six-month duration of the experiment, the difference between the average bacterial numbers were compared by two-way analysis of variance. A follow-up post-hoc analysis was done in order to determine differences. The difference was considered significant when p < 0.05. SPSS® Version 18.0 software (IBM Corp, USA) was used for the statistical analyses.

Results and Discussion

The bacterial numbers from the LIVE/DEAD® test kit were analysed in situ on the surfaces using the manufacturer’s software during the experimental period for six months. The results are given in Table I. The number of signals per cm2 were calculated using the magnification factor. Since the raw data were too scattered, the values are given in the logarithmic (log10) base for better comparison. The logarithmic reduction was clearly significant starting from the first sampling.

Table I

Numbers with Standard Deviation of Live-Dead Bacteria Counted on Heat Exchanger Surfaces

Months Nano-silica coated test surfaces, cell cm−2 Uncoated control surfaces, cell cm−2
Dead (log10) Live (log10) Total (log10) Dead (log10) Live (log10) Total (log10)
1 3.6 ± 0.07 3.6 ± 0.05 4.6 ± 0.09 6.8 ± 0.11 6.0 ± 0.08 8.1 ± 0.14
2 3.3 ± 0.09 3.6 ± 0.10 4.3 ± 0.12 7.7 ± 0.13 7.5 ± 0.11 9.7 ± 0.16
3 3.3 ± 0.04 3.7 ± 0.07 4.2 ± 0.08 6.9 ± 0.11 8.0 ± 0.14 10.1 ± 0.09
4 3.0 ± 0.02 3.8 ± 0.04 4.5 ± 0.10 7.0 ± 0.13 8.2 ± 0.12 11.5 ± 0.17
5 3.1 ± 0.09 3.8 ± 0.10 4.7 ± 0.11 7.5 ± 0.15 8.1 ± 0.15 11.9 ± 0.17
6 3.2 ± 0.08 3.9 ± 0.06 4.8 ± 0.12 7.8 ± 0.17 9.1 ± 0.18 12.1 ± 0.21

The total bacterial numbers on coated tubes were recorded as 49,090 cell cm−2 after the initial month, and 13,016,957 cell cm−2 on uncoated surfaces after the first month. The results distinctly showed that this type of coating reduces biofouling formation on heat exchanger surfaces from the start of the experimental set-up. The numbers of surface associated bacteria on uncoated control tubes gradually increased and reached 1.28 × 1012 cell cm−2 after the sixth month, at which time the biomass on nano-silica coated tubes was 6.3 × 104 cell cm−2. No significant rise (p < 0.05) of bacterial numbers on nano-coated heat exchanger tubes was recorded during the six-month period in terms of total biofilm counts. This outcome demonstrates that a nano-silica coating can clearly reduce the bacterial biofilm layers on coated heat exchanger surfaces.

As expected, nano-silica coating slowed down the adhesion and colonisation of bacteria on the substrata thanks to its strong hydrophobic properties. The pH, dissolved oxygen, total dissolved matter and temperature values of the water in the system during the six-month test period were recorded and are given in Table II. The values in Table II were important to monitor circulating water due to the blowdown regime.

Table II

pH, Dissolved Oxygen, Total Dissolved Solids and Temperature Values of Circulating Water in the Systema

Months pH Dissolved oxygen, mg l−1 Total dissolved solids, ppm Temperature, °C
1 7.33 7.40 110 37
2 7.48 7.54 113 37
3 7.28 7.34 109 37
4 7.24 7.24 108 37
5 7.30 7.55 107 37
6 7.36 7.39 110 37

It is known that even with conventional cleaning and disinfection regimens, there is a problem fighting against biofilm formation and development of microbial resistance (12). Based on previous studies conducted in this field (13, 14), it is impossible to eliminate the formation of biofilm layers on surfaces, but biofilm formation can be reduced (9, 15, 16). For this purpose, it is possible to modify surfaces with different coatings. The nano-hydrophobic coating changes the surface properties of the material and supports less biofilm formation (1618). Hydrophobic coatings limit the wettability of the surface, making it difficult for organic and inorganic matter or microorganisms to adhere; and even if they do, they can easily be detached from the surface by physical factors such as laminar or turbulent water shear stress (19).

The issue of antimicrobial coatings has been extensively studied (2024). The problem with these products is development of bacterial resistance against the agent (11, 25). Even antibiotic-containing coatings have been reported to promote biofilm formation (26). Silver compounds combined with silica, silane and titanium coatings in particular gave antimicrobial properties but the problem of toxicity in medical devices was mentioned (27). In industrial use, the resistance of microorganisms is at the top of the list as a disadvantage (28). In addition, silver compounds in water systems will reach the aquatic environment and appear as a separate environmental problem.

It is also emphasised that anti-biofilm coatings are very important for preventing the formation of a biofilm layer at an early stage (29, 30). However, studies conducted to date are mostly aimed at solving clinical problems and have been done in vitro with pure cultures (15, 17, 18, 3133). Using monospecies biofilms is a sterile approach and cannot represent mixed cultures in the natural environment and their interaction with each other. Sol-gel products and superhydrophobic coatings which are more strongly water repellent (31, 34) have also been tried. It was observed that the life of these coatings was not as long as hydrophobic coatings. On the other hand, the high cost of superhydrophobic coatings was a drawback. Contrary to hydrophobic coatings, some hydrophilic coatings were also found to be effective against biofouling. Holberg et al. (8) reported that biocide-free silicone coatings showed promising real-life performance on fresh water-cooled heat exchangers and also performed well in laboratory tests.

Ding et al. (35) tested an environmentally friendly antifouling coating product, butenolide, which was designed for controlled release from biodegradable polyurethane. The anti-fouling effect was shown by in situ tests. The main target was marine biofouling, especially larval settlement on surfaces. Since the adhesion of fouling organisms relies on a microbial biofilm layer, inhibition of primer settlement is crucial. Hu et al. (36) sprayed bacterial-anti-adhesive modified polystyrene microspheres to construct bacterially-anti-adhesive surfaces. It can be used on any surface thanks to the lotus effect. It was reported as robust and durable on surfaces. Similar surface engineering strategies focus on altering the physicochemical properties of the material surface. In general, reduced efficacy of regular disinfectants leads to progress in development of antimicrobial surfaces and coatings (37, 38).

Conclusion

This is the first report of a nano-silica coating on a stainless steel cooling tower heat exchanger. The study showed that the nano-silica coating significantly reduced bacterial fouling on surfaces. There are many similar surfaces with biofouling problems which have contact with water and require a solution. Nano-silica has proven to be effective at reducing the formation of biofilms on surfaces and can be applied as a cost-effective, effortless, non-toxic, readily available material. Due to growing restraints on environmental release of biocidal agents and the growing restrictions on the use of disinfectants in man-made water systems, as well as demand to decrease the cost of system maintenance, different ways to limit biofilms in man-made water systems hold much expectation.

Acknowledgments

This study was supported by ‘Research Fund of the Istanbul University’. Project number: 29220.

By |2020-09-16T10:26:10+00:00September 16th, 2020|Weld Engineering Services|Comments Off on Reduction of Biofilm Formation on Cooling Tower Heat Exchangers using Nano-silica Coating

Academy recognises pioneering engineers’ leading innovations from polymers to medical devices

The Royal Academy of Engineering has announced 16 winners of its 2020 medals and awards

Professor Dame Julia Higgins DBE FREng FRS is awarded the Sir Frank Whittle Medal for her sustained excellence in designing, analysing and modifying polymer materials. She is internationally recognised as one of the preeminent polymer engineers of her generation. Julia Higgins’ work has provided some of the tools to help design processes and control properties for these difficult to mix materials.  Her work is also very relevant to the current problems of recycling plastics and why so much effort has been put into separating the different plastic materials in our waste bins.

Awards given by the Royal Academy of Engineering celebrate engineering excellence and seek to recognise and reward the very best of engineering talent, from those whose achievements have a huge impact on society to early career engineers disrupting their fields of expertise.

Recognised for demonstrating excellence early in his career, Sorin Popa, CEO of Pathfinder Medical, is awarded the Sir George Macfarlane Medal for inventing and developing a novel device to allow haemodialysis and even arterial bypasses to be performed without invasive surgery.

 

The winners

The full list of medal and award winners announced today are:

Prince Philip Medal, awarded to an engineer who has made an exceptional contribution to engineering as a whole through practice, management or education

  • Bob Stuart, Founder, MQA Ltd

Prince Philip Medal

 

President’s Medal, awarded to an Academy Fellow who has greatly contributed to the Academy’s work and aims

  • Dervilla Mitchell CBE FREng, UKIMEA Chair, Arup

President’s Medal

 

Silver Medals, awarded for an outstanding personal contribution to UK engineering by an early to mid-career engineer resulting in market exploitation

  • Dr Marko Bacic, Engineering Associate Fellow – Control Systems & Gas Turbine Functionality, Rolls-Royce
  • Michael Bronstein, Chair in Machine Learning and Pattern Recognition, Imperial College London & Head of Graph Learning Research, Twitter
  • Esther Rodriguez-Villegas, Professor of Low Power Electronics, Imperial College London
  • Jamie Shotton, Partner Director of Science, Microsoft

Silver Medals

 

Colin Campbell Mitchell Award, awarded to engineers who have made an outstanding contribution to the advancement of any field of UK engineering

  • The team from Reaction Engines for the hot heat exchanger test programme for the SABRE engine

Colin Campbell Mitchell Award

 

Rooke Award, awarded for the public promotion of engineering

  • Susan Scurlock MBE, CEO and Founder, Primary Engineer

Rooke Award

 

Major Project Award

  • For the Queensferry Crossing: Iain Murray, Managing Director BEAR Scotland, Jacobs; Peter Curran, Project Director, Ramboll; Mike Glover OBE FREng and Richard Hornby, Directors, Arup; and Lawrence Shackman, Head of Rail Projects, Transport Scotland

Major Project Award

 

Sir Frank Whittle Medal, awarded for outstanding and sustained achievement in any engineering discipline

  • Professor Dame Julia Higgins DBE FREng FRS, Senior Research Fellow, Imperial College London

Sir Frank Whittle Medal

 

Sir George Macfarlane Medal, awarded to a UK engineer who has demonstrated excellence in the early stage of their career

  • Sorin Popa, CEO, Pathfinder Medical

Sir George Macfarlane Medal

 

RAEng Engineers Trust Young Engineers of the Year, supported by the Worshipful Company of Engineers

  • Andrea De Luca, CEO, Flusso
  • Dr Richard Colchester, Royal Academy of Engineering Research Fellow, University College London
  • Sorin Popa, CEO, Pathfinder Medical
  • Dr Boyang Shen, Research Fellow, University of Cambridge
  • Amy Wright, Senior Civil Infrastructure Engineer, Design ID

RAEng Engineers Trust Young Engineers of the Year

 

Professor Raffaella Ocone OBE FREng FRSE, Chair of the Academy’s Awards Committee, says:

“Engineering underpins our daily lives, and these awards acknowledge and celebrate engineers and engineering achievements that are often hidden from public view.

These engineers help to solve some of the world’s greatest challenges in fields spanning medical, civil, digital, and materials, and deserve to be celebrated for the work they do.”


Note to editors

The Royal Academy of Engineering is harnessing the power of engineering to build a sustainable society and an inclusive economy that works for everyone.
In collaboration with our Fellows and partners, we’re growing talent and developing skills for the future, driving innovation and building global partnerships, and influencing policy and engaging the public.
Together we’re working to tackle the greatest challenges of our age.

For more information, please contact Victoria Runcie at the Royal Academy of Engineering.

By |2020-09-13T23:01:09+00:00September 13th, 2020|Engineering News|Comments Off on Academy recognises pioneering engineers’ leading innovations from polymers to medical devices

Six top university engineers funded to collaborate with industry on world-leading research

The Royal Academy of Engineering has today announced the appointment of four new Research Chairs and two Senior Research Fellows at universities across the UK who will spend the next five years working with some of the world’s largest companies to tackle a broad spectrum of engineering challenges.

Rolls-Royce PLC, Nokia Bell Labs, GSK, J.P. Morgan, Howden Compressors and Fraunhofer UK will work with the academics to establish world-leading research teams to study problems including antimicrobial resistance, reducing energy use and emissions from compressors, improving the reliability of mobile devices and developing AI-powered dialogue systems.

Professor Karen Holford FREng CBE FLSW, Deputy Vice-Chancellor at Cardiff University and Chair of the Academy’s Research Committee, says: “Engineers are influential agents of change in our drive towards a more sustainable society and an inclusive economy. The Royal Academy of Engineering has an important role to play in promoting engineering excellence and working with industry to help achieve these goals. Over the past 20 years our Research Chairs and Senior Research Fellows have developed numerous internationally renowned centres of research excellence and I am sure our new appointees will achieve even more.”

The Research Chairs and Senior Research Fellowships appointments are as follows:

 

Research Chairs

Professor Trung Q. Duong, Queen’s University Belfast
Nokia Bell Labs / Royal Academy of Engineering Research Chair in Towards Massive Connectivity to enable Ultra-Reliable and Near Zero-Latency Communications

Wireless communications and associated digital technologies have been shaping our planet in an unprecedented way – not least in the current battle against COVID-19. Increasingly, we live in an interconnected, smart, globalised society in which the physical and information worlds are inextricably linked. The ever-increasing number of wireless and mobile devices requiring ultra-reliable and low-latency functionality is generating an exponential growth in data traffic – a 10,000-fold growth is predicted to occur by 2030.

Professor Duong believes that unlike previous generations of cellular communications, 6G will focus not only on faster data speeds for traditional services, but also on a massive interconnection of autonomous machines. 6G networks will address the specific needs of IoT (internet of things) devices by achieving two conflicting targets: maintaining the ultra-reliability (99.999%) of 5G and reducing latency (time between data transmission and reception – currently around 1ms for 5G) to near-zero.

Professor Duong’s research will provide an opportunity to go beyond 5G and towards 6G in a number of important respects to harmonise and integrate wireless communications, data transfer, radar, and imaging, where high bandwidth and near zero latency is crucial.

He says: “Our rapidly changing world is currently undergoing a ‘fourth industrial revolution’ that is currently being driven by 5G communications and cyber-physical systems. My driving passion is to take that revolution forward into the next decade and for 6G to enable a future that benefits all of society – e.g., remote medical diagnosis and surgery, autonomous self-driving vehicles, virtual and augmented reality for education, healthcare and entertainment and all within smart, safe cities, and disaster management.

It has been a wonderful journey that has taken a young child in Vietnam, who liked to play with walkie-talkies, all the way to a prestigious Research Fellowship of the Royal Academy of Engineering!”

 

Professor Paul Hoskisson, University of Strathclyde
GSK / Royal Academy of Engineering Research Chair in Engineering Biology of Antibiotic Production

Professor Hoskisson’s research is tackling antimicrobial resistance, one of the greatest threats to global health. It has been suggested that without intervention, global deaths attributable to antimicrobial resistant infections could reach 10 million annually by 2050. This global health crisis requires multidisciplinary approaches to tackle the problem, developing more efficient industrial processes as well as new drugs and therapies. This research project focuses on applying engineering principles to improve the Streptomyces cell factories used to produce antibiotics, enabling more rapid improvements in production than were previously possible.

In partnership with GSK, Professor Hoskisson’s research will combine recent synthetic biology advances to develop biological parts and tools applicable to antibiotic production, with industrial engineering. This will enable step-change improvements in fermentation processes and improve the sustainability of antimicrobial production. Engineering Biology is a priority area for growth that will help to accelerate antibiotic production as it matures.

He says: “The antimicrobials industry is an area in biology where we get to investigate all scales – we get to use large-scale engineering processes to develop fermentations using microscopic organisms – and this project allows me to combine both! Working closely with GSK enables me to translate my work into real world scenarios. I am inspired by the way we can rationally design genetic tools and circuits to function and to perform useful tasks for the benefit of humankind. This current project will enable me to bring several strands of my work over the last 10 years or so together and really make an impact in the area of industrial production of antimicrobials.

“The recent ‘Engineering Biology’ report from The Royal Academy of Engineering recognises the emerging technologies of engineering biology as a means to deliver economic and social benefit. Given the global importance of the antimicrobial resistance crisis, it is fantastic to have the support of the Academy to enable me to contribute to the global effort to address this problem.”

 

Professor Ahmed Kovacevic, City, University of London
Howden / Royal Academy of Engineering Research Chair in Compressor Technology

Compressors consume 20% of the electrical energy generated worldwide, and 83% of all screw compressors are oil injected. Professor Kovacevic aims to improve the reliability and efficiency of compression technology, working to reduce leakages in rotating machinery by 20% and improve the efficiency of oil-free screw machines by 2%, thereby saving more than 5 billion Euros and reducing CO2 emissions by 600 megatons per annum.

Professor Kovacevic will explore novel methods for understanding the flow, heat, and solid interaction in leakage gaps of rotating machines using experimental optical techniques at the state-of-the-art laboratories at City, University of London. This project aims to develop a commercial prototype, paving the way to the future of oil-free screw compression technology.

He says: “With this project I have an opportunity to revolutionise the field of rotating machines. This interaction of flow and heat in microscopic clearances is fascinating and unexplored and I am delighted to lead a path to understand and utilise it.

“I am proud to have collaborated closely with Howden for more than 12 years, jointly introducing new rotor profiles, new compressors and continuing to provide world with better and ever more efficient machines. The Centre for Compressor Technology, which I direct at City, University of London, is world leading research institute for these types of machines and together with the support from Howden and the Royal Academy of Engineering, this project is destined to result in new, more efficient and reliable oil-free machines. I am very excited about this opportunity.”

 

Calculation (left) and thermographic measurements (right) of temperature distribution in a screw compressor

 

Professor Francesca Toni, Imperial College London
J.P. Morgan / Royal Academy of Engineering Research Chair in Argumentation for Interactive Explainable AI

Professor Toni is working alongside J.P. Morgan, focusing on developing forms of interactive explainable AI that can help explain how AI systems work by providing justifications for system decisions. It is widely acknowledged that the difficulty of explaining AI is a barrier to uptake. Existing efforts towards explainable AI envisage static ‘one-way’ (machine to human) interactions. This Research Chair will deliver machines, powered by a variety of AI methods, that can engage with humans in two-way explanatory dialogues. The machines will explain their recommendations and humans will question their explanations and provide feedback. Such machines will be able to work in synergy with humans within a human-centred but AI-supported society.

This ambitious research vision will be realised using computational argumentation based on symbolic AI. Professor Toni will define argumentative abstractions for a variety of AI methods from which various types of explanations can be drawn to generate argumentative dialogues between humans and machines.

She says: “I have always been intrigued by the challenges posed by the AI vision: how to design and build machines that think or act like humans, and that can join forces with humans to benefit society? The Research Chair will provide a unique opportunity to bring together the strengths of the Department of Computing at Imperial College London, J.P. Morgan and the Royal Academy of Engineering, to address explainability challenges for AI in general and particularly in the financial sector where a lack of understanding of the products on the part of clients and regulators is posing crucial barriers to the adoption of AI.”

 

Figure 1 – Envisaged pipeline:
from data-centric systems (built from data) to influences to argumentative abstractions and then from there to explanatory dialogues with users, accommodating their feedback by using wrappers.

 

Figure 2 – A schematic view of the Chair’s vision of explanatory dialogues between humans and (AI-empowered) machines

 

A close up of a logoDescription automatically generated

Figure 3 – Computational Logic and Argumentation group logo

 

Senior Research Fellows

Dr Giuliano Allegri, University of Bristol
Rolls-Royce PLC / Royal Academy of Engineering Senior Research Fellow in Physically Based Modelling of Fatigue in Composites

Dr Allegri’s research is focused on the characterisation and prediction of fatigue damage in composite materials, aiming to introduce new strategies to ensure the durability of these materials in engineering applications. Polymer-based composites are key enablers for reducing structural weight and hence reducing CO2 emissions in the transportation sector. Lightweighting is critical to achieving a carbon-neutral economy by 2050, as stipulated by the 2015 Paris agreement. Therefore, understanding and predicting fatigue damage in composites is vital to ensuring the long-term reliability and safety of key components in hybrid-electric propulsion and working towards carbon-neutral aviation.

Mitigating fatigue damage in composite structures is very complex and has so far been based on extensive and expensive experimental characterisation. Dr Allegri hopes to improve the engineering design and testing of composite structures, aiming to substantially reduce the development costs and time to market of novel products.

He says: “The event that triggered my interest in engineering, and aerospace in particular, was the Voyager 2 flyby of Neptune on August 25th, 1989. I still have a vivid recollection of the photos of the deep blue “ice giant” planet broadcast on tv. I asked myself: how can something man-made fly so fast, for so long and so far away? Among all the technical challenges associated with the Voyager endeavour, I was particularly fascinated by those associated with material and structural integrity. I pursued such an interest in my engineering studies, especially regarding the computer simulation of mechanical behaviour and the prediction of failure. These still represent the core areas of my research activity and the central themes of this Fellowship.”

A screen shot of a mapDescription automatically generated

Figure 1: Paradigmatic shift in the engineering design of composite structures against fatigue; robust validated “virtual design” methods replace extensive testing

 

Figure 2: Multi-scale modelling philosophy; from the material micro-scale to the full propulsion system

 

Dr Michael Strain, University of Strathclyde
Fraunhofer UK / Royal Academy of Engineering Senior Research Fellow in Chipscale Photonics

Dr Strain is developing new methods to miniaturise visible light optical systems onto a single chip. By integrating systems onto a chip, complexity can be significantly scaled up whilst improving mechanical robustness, power consumption and reducing production costs. However, unlike in electronics where large-scale circuits can be realised on a single silicon wafer, optical systems require the integration of many different materials to realise functions from high speed data processing to environmental sensing. 

This work will develop the methods needed to realise complex optical circuits in materials such as diamond, gallium nitride and silicon carbide. These various materials will then be integrated using a form of micro-assembly for high throughput manufacturing with spatial accuracy at the nanoscale. The long-term vision of this joint work with Strathclyde’s Fraunhofer Centre for Applied Photonics is to make optical systems in a format that can be integrated with portable, low power electronics. Future applications of this technology range from optical instrumentation and imaging to high speed electronics and lab-on-a-chip microfluidics.

He says: “The most exciting element of this project for me is the ambition to take research advances out of the university lab and translate them into a capability that will benefit the industrial and academic engineering communities. The wide range of expertise needed to tackle the big challenges in modern engineering emphasises its nature as a group activity. It is inspiring to see the huge scope of new ideas and real technology being produced around the world by teams of engineers working across disciplines. Being part of that community is very exciting.

“Aligned with the Academy’s mission, and through this Fellowship, I aim to strengthen the links in this community between materials growers, nano-fabrication centres and end users of optical systems, building a vision of the future supply chain and exploitation routes for hybrid material systems on-a-chip.”


Notes for Editors

  1. The Research Chairs and Senior Research Fellowships aims to strengthen the links between industry and academia by supporting exceptional academics in UK universities to undertake use-inspired research that meets the needs of the industrial partners.

    Awardees are expected to:

  • Establish or enhance a world leading engineering research group
  • Deliver ‘use-inspired’ research that meets the needs of their industrial partners
  • Disseminate the outcomes of their research for appropriate academic impact
  • Become a self-sustaining research group by the end of the award (by securing substantial external grant income: RCUK, EU, industry, charities, etc.)

 

For more information please contact: Pippa Cox at the Royal Academy of Engineering Tel. 020 7766 0745; email: Pippa.Cox@raeng.org.uk

By |2020-09-10T23:01:00+00:00September 10th, 2020|Engineering News|Comments Off on Six top university engineers funded to collaborate with industry on world-leading research
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