A Self‐Assembled Binary Protein Model Explains High‐Performance Salivary Lubrication from Macro to Nanoscale
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- MECH-99
- Type
- D - Journal article
- DOI
-
10.1002/admi.201901549
- Title of journal
- Advanced Materials Interfaces
- Article number
- 1901549
- First page
- -
- Volume
- 7
- Issue
- 1
- ISSN
- 2196-7350
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fadmi.201901549&file=admi201901549-sup-0001-SuppMat.pdf
- 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
-
8
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a model that explains the molecular mechanism behind real human salivary lubrication performance. These results have the potential to aid the design and development of nature-inspired aqueous lubricants for biomedical applications and nutritional technologies. The work is a collaboration between engineers, food scientists and physicists at the University of Leeds and the Universitaria Integrata di Udine, and arose from a €1.5M ERC Starting grant (grant agreement 757993) awarded in 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
