Prediction of specific biomolecule adsorption on silica surfaces as a function of pH and particle size
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 67 - 699036
- Type
- D - Journal article
- DOI
-
10.1021/cm5026987
- Title of journal
- Chemistry of Materials
- Article number
- -
- First page
- 5725
- Volume
- 26
- Issue
- 19
- ISSN
- 0897-4756
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
A - Imaging, Materials and Engineering Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output reports the first application of the silica computational forcefield to understand the binding of biomolecules such as peptides, drugs, cell receptors, polymers, surfactants and gases under realistic solution conditions at the 1-100nm length scale. Taken up by the Toyota Central research lab (e.g. doi:10.1038/ncomms15670), Corning/ Samsung (doi:10.1021/acs.jpcc.6b08081) and Proctor and Gamble (doi:10.1021/acs/jpcc.9b02808). The ability to model such interactions with less than 5% deviation from experimental values helped in the award of EPSRC (EP/N026071/1, £252k to NTU), a project between Southampton and Nottingham Trent Universities and NSF-DMREF 1623947 ($1.7m) to our collaborator at University of Boulder, Colorado.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -