Coventry University Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
University of Sheffield Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
University of Sheffield Featured PhD Programmes

Bioprocess development for biosurfactant mediated plastic degradation

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  • Full or part time
    Dr P Rahman
    Dr S Robson
    Dr C Angione
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Applications are invited for a competition-funded three year PhD studentship to commence in October 2019.

This fully-funded studentship is available to UK and EU students only and covers tuition fees and an annual maintenance grant of £15,009 (RCUK 2019/20 rate).

The supervisors are Dr Pattanathu Rahman, Dr Claudio Angione (Teesside University) and Dr Sam Robson.

This studentship based in the university’s newly developed Centre for Enzyme innovation. The Centre focuses on the discovery, engineering and deployment of enzymes with potential application to the circular economy.

The project will focus on:
• Bioprocess Optimisation and Development in Microbioreactors and scale-up
• Incorporating non-native pathways and to implement innovative and computational-based metabolic design in bacteria
• Regulate the flux rate for the enzymes catalyzing each step in the genome-scale metabolic network
• Predict the conditions that are optimally using different carbon sources for biosurfactant production
• Access Computer modelling to create more efficient bacteria, which can secrete the enzyme to degrade plastics
• Acceleration of Enzymatic Degradation of PET by Surface Coating with biosurfactants.
• Determination of biosurfactant mediated plastic degradation

Biosurfactants increase surface area of hydrophobic water-insoluble substances, increase the water bioavailability of such substances and change the properties of the bacterial cell surface. Because of their potential advantages, biosurfactants are widely used in many industries such as agriculture, food production, chemistry, cosmetics and pharmaceutics. Surface-active agents can enhance enzyme activity against solid PET substrates by more than 100-fold.

Computational methods for metabolic engineering are helpful to model and optimise biological models that can solve one of the planet’s most-pressing environmental problems such as plastics. This computational model can then be used to engineer bacteria to efficiently manufacture these industrially relevant compounds such as enzymes and soaps for degrading plastics.

Exploring and characterising computationally the metabolism of Pseudomonas putida at genome-scale and in a condition-specific fashion will elucidate optimal growth medium and metabolic interventions to optimise the utilisation of aromatic carbon sources for bioremediation and biotechnological purposes.
In addition to a full program of training provided by the Graduate School, specialist training will be provided for a range of in-house instruments and techniques. Matlab, Python, R. Training and tutorials will be provided on metabolic modelling using computational methods.

Entry requirements
• The project requires a candidate with a good first degree (minimum 2.1 or equivalent) in Biology, Microbiology, Biochemistry, Bioinformatics, Biotechnology, Computational Biology or a related subject, and a desire to excel as a disciplined scientist within a cohesive research team.
• Potential applicants with a Masters-level qualification, or equivalent experience in a relevant field, are strongly encouraged to apply.
• English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements:
We are looking for a talented student with a strong background in Microbiology, Cloning and expertise in Bioinformatics.



How to apply
We’d encourage you to contact Dr Pattanathu Rahman ([Email Address Removed]) or Dr Sam Robson ([Email Address Removed]) to discuss your interest before you apply, quoting both the project code and the project title.

When you are ready to apply, you can use our online application form making sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.

When applying to the University, please quote project code: BIOL4580219


Funding Notes

This fully-funded studentship is available to UK and EU students only and covers tuition fees and an annual maintenance grant of £15,009 (RCUK 2019/20 rate).

References

1. Occhipinti, A., Eyassu, F., Rahman, T. J., Rahman, P.K.S.M. & Angione, C. 31 Oct 2018 (Accepted for publication) In : PeerJ. Link: https://researchportal.port.ac.uk/portal/en/publications/in-silico-engineering-of-pseudomonas-metabolism-reveals-new-biomarkers-for-increased-biosurfactant-production(150338ff-39ea-4ba1-aeae-c4d25bd216e1).html

2. Rahman, PKSM & Sekhon Randhawa, KK 2015, 'Editorial: Microbiotechnology based surfactants and their applications' Frontiers in Microbiology, vol. 6, 01344. DOI: 10.3389/fmicb.2015.01344

3. Randhawa, KKS & Rahman, PKSM 2014, 'Rhamnolipid biosurfactants-past, present, and future scenario of global market' Frontiers in Microbiology, vol. 5, 454. DOI: 10.3389/fmicb.2014.00454

4. Rahman, P.K.S.M. and Angione, C. (2017). Condition-specific engineering of Pseudomonas metabolism. BBSRC- Report Link: http://cbmnetnibb.group.shef.ac.uk/outputs/case-studies/business-interaction-vouchers/condition-specific-engineering-of-pseudomonas-metabolism/

5. https://researchandinnovationportsmouth.com/2019/06/12/research-collaboration-helping-to-solve-plastics-problems/

How good is research at University of Portsmouth in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 23.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities


FindAPhD. Copyright 2005-2019
All rights reserved.