• University of Leeds Featured PhD Programmes
  • University of Bristol Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
  • University of Mannheim Featured PhD Programmes
  • London School of Economics and Political Science Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Cambridge Featured PhD Programmes
  • Carlos III Health Institute Featured PhD Programmes
University of Manchester Featured PhD Programmes
University College London Featured PhD Programmes
University of Bristol Featured PhD Programmes
EPSRC Featured PhD Programmes
University of Bristol Featured PhD Programmes

The Computational Design of Nanostructured Biomimetic Catalysts

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr Herdes
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Imagine pressing a key against a chunk of soft clay, leaving an accurate imprint of the key in the clay. This “key-clay-profile” can be used to make copies of the original one. Now instead of the key and clay, what if an enantiomer molecule is used to make the imprint on a polymer?

A number (and this number is growing) of small drug molecules are produced as racemic mixtures, however, only one of the enantiomers can be used as a drug. This is because the other enantiomer is inactive or, even worse, can cause an adverse reaction, e.g. ethambutol where one enantiomer treats tuberculosis and the other causes blindness!

Separation of racemic mixtures is a difficult task. It has been suggested that a catalyst featuring molecular imprints can be built and can be used for the production of single enantiomer building components. The imprints in the catalyst will be "negative" images of the needed molecule and therefore only these molecules should be able to fit and adopt that specific form of the desired product.

Chiral synthesis and separations for pharmaceutical applications belongs to a market worth £100 billion.

To understand the molecular recognition mechanism and to prepare better catalysts with molecular recognition capacity it is necessary to know what happens inside these materials. However, this is not an easy experiment. A more efficient approach is to construct a virtual model that imitates the real system and uses a computer to calculate its properties.

Excellent applicants are invited to compete for this year University Research Studentships Allowance (URSA) to work as a PhD student towards The Computational Design of Nanostructured Biomimetic Catalysts.

Applicants should hold or expect to gain a UG First Class / MSc Distinction background, or the equivalent from an overseas institution. English language requirements must be satisfied in advance of an offer of funding, by IELTS (International English Language Testing System) only with an overall band score of 6.5 and a minimum of 6.0 per skill. No offers of funding will be made conditional on IELTS result.

PhD candidates from relevant scientific/engineering backgrounds will be considered, including Chemical Engineering, Biochemical Engineering, Physics, Chemistry and Material Science.

Prospective candidates are encouraged to contact Dr Carmelo Herdes ([email protected]) directly for further details. Please send a CV and a cover letter to Dr Herdes no later than 12th February 2016. Candidates will be shortlisted for the full online application.

Funding Notes

The URSA is extremely competitive. For Home/European Union applicants it cover fees, a generous tax-free allowance of about £14,057 (2015-6 rate) per year and a training support grant.

Please note that for overseas applicants this scholarship provides only tuition fees.

How good is research at University of Bath in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?

FTE Category A staff submitted: 61.00

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

Click here to see the results for all UK universities
Share this page:

Cookie Policy    X