Cargando…

In silico modelling of mass transfer & absorption in the human gut

An in silico model has been developed to investigate the digestion and absorption of starch and glucose in the small intestine. The main question we are aiming to address is the relative effect of gastric empting time and luminal viscosity on the rate of glucose absorption. The results indicate that...

Descripción completa

Detalles Bibliográficos
Autores principales: Moxon, T.E., Gouseti, O., Bakalis, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Applied Science Publishers 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767037/
https://www.ncbi.nlm.nih.gov/pubmed/27143811
http://dx.doi.org/10.1016/j.jfoodeng.2015.10.019
_version_ 1782417766942244864
author Moxon, T.E.
Gouseti, O.
Bakalis, S.
author_facet Moxon, T.E.
Gouseti, O.
Bakalis, S.
author_sort Moxon, T.E.
collection PubMed
description An in silico model has been developed to investigate the digestion and absorption of starch and glucose in the small intestine. The main question we are aiming to address is the relative effect of gastric empting time and luminal viscosity on the rate of glucose absorption. The results indicate that all factors have a significant effect on the amount of glucose absorbed. For low luminal viscosities (e.g. lower than 0.1 Pas) the rate of absorption is controlled by the gastric emptying time. For viscosities higher than 0.1 Pas a 10 fold increase in viscosity can result in a 4 fold decrease of glucose absorbed. Our model, with the simplifications used to develop it, indicate that for high viscosity luminal phases, gastric emptying rate is not the controlling mechanism for nutrient availability. Developing a mechanistic model could help elucidate the rate limiting steps that control the digestion process.
format Online
Article
Text
id pubmed-4767037
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Applied Science Publishers
record_format MEDLINE/PubMed
spelling pubmed-47670372016-05-01 In silico modelling of mass transfer & absorption in the human gut Moxon, T.E. Gouseti, O. Bakalis, S. J Food Eng Article An in silico model has been developed to investigate the digestion and absorption of starch and glucose in the small intestine. The main question we are aiming to address is the relative effect of gastric empting time and luminal viscosity on the rate of glucose absorption. The results indicate that all factors have a significant effect on the amount of glucose absorbed. For low luminal viscosities (e.g. lower than 0.1 Pas) the rate of absorption is controlled by the gastric emptying time. For viscosities higher than 0.1 Pas a 10 fold increase in viscosity can result in a 4 fold decrease of glucose absorbed. Our model, with the simplifications used to develop it, indicate that for high viscosity luminal phases, gastric emptying rate is not the controlling mechanism for nutrient availability. Developing a mechanistic model could help elucidate the rate limiting steps that control the digestion process. Applied Science Publishers 2016-05 /pmc/articles/PMC4767037/ /pubmed/27143811 http://dx.doi.org/10.1016/j.jfoodeng.2015.10.019 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moxon, T.E.
Gouseti, O.
Bakalis, S.
In silico modelling of mass transfer & absorption in the human gut
title In silico modelling of mass transfer & absorption in the human gut
title_full In silico modelling of mass transfer & absorption in the human gut
title_fullStr In silico modelling of mass transfer & absorption in the human gut
title_full_unstemmed In silico modelling of mass transfer & absorption in the human gut
title_short In silico modelling of mass transfer & absorption in the human gut
title_sort in silico modelling of mass transfer & absorption in the human gut
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767037/
https://www.ncbi.nlm.nih.gov/pubmed/27143811
http://dx.doi.org/10.1016/j.jfoodeng.2015.10.019
work_keys_str_mv AT moxonte insilicomodellingofmasstransferabsorptioninthehumangut
AT gousetio insilicomodellingofmasstransferabsorptioninthehumangut
AT bakaliss insilicomodellingofmasstransferabsorptioninthehumangut