Imperial College London
Portrait Picture

ProfessorMariaCharalambides

Faculty of Engineering, Department of Mechanical Engineering

Professor of the Mechanics of Materials
 
 
 
//

Contact

 

+44 (0)20 7594 7246m.charalambides Website

 
 
//

Location

 

516City and Guilds BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Charalambides:2019:10.1038/s41467-019-11288-5,
author = {Charalambides, M and Skamniotis, C and Matthew, E},
doi = {10.1038/s41467-019-11288-5},
journal = {Nature Communications},
pages = {1--12},
title = {Computer simulations of food oral processing to engineer teeth cleaning},
url = {http://dx.doi.org/10.1038/s41467-019-11288-5},
volume = {10},
year = {2019}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Oral biofilm accumulation in pets is a growing concern. It is desirable to address this problem via non-invasive teeth cleaning techniques, such as through friction between teeth and food during chewing. Therefore, pet food design tools are needed towards optimising cleaning efficacy. Developing such tools is challenging, as several parameters affecting teeth cleaning should be considered: the food’s complex mechanical response, the contacting surfaces topology as well as the wide range of masticatory and anatomical characteristics amongst breeds. We show that Finite Element (FE) models can efficiently account for all these parameters, through the simulation of food deformation and fracture during the first bite. This reduces the need for time consuming and costly in-vivo or in-vitro trials. Our in-silico model is validated through in-vitro tests, demonstrating that the initial oral processing stage can be engineered through computers with high fidelity.
AU  - Charalambides,M
AU  - Skamniotis,C
AU  - Matthew,E
DO  - 10.1038/s41467-019-11288-5
EP  - 12
PY  - 2019///
SN  - 2041-1723
SP  - 1
TI  - Computer simulations of food oral processing to engineer teeth cleaning
T2  - Nature Communications
UR  - http://dx.doi.org/10.1038/s41467-019-11288-5
UR  - https://www.nature.com/articles/s41467-019-11288-5
UR  - http://hdl.handle.net/10044/1/71560
VL  - 10
ER  -
Download