Physiologically Based Modeling of Food Digestion and Intestinal Microbiota: State of the Art and Future Challenges. An INFOGEST Review

Author:

Le Feunteun Steven1,Al-Razaz Ahmed2,Dekker Matthijs3,George Erwin4,Laroche Beatrice5,van Aken George6

Affiliation:

1. STLO, INRAE, Institut Agro, 35042 Rennes, France;

2. Essex Pathways, University of Essex, CO4 3SQ Colchester, United Kingdom;

3. Food Quality and Design Group, Department of Agrotechnology and Food Sciences, Wageningen University, 6700 AA Wageningen, The Netherlands;

4. School of Computing and Mathematical Sciences, University of Greenwich, SE10 9LS London, United Kingdom;

5. Université Paris-Saclay, INRAE, MaIAGE, 78350 Jouy-en-Josas, France;

6. Cosun Innovation Center, Royal Cosun, 4670 VA Dinteloord, The Netherlands;

Abstract

This review focuses on modeling methodologies of the gastrointestinal tract during digestion that have adopted a systems-view approach and, more particularly, on physiologically based compartmental models of food digestion and host–diet–microbiota interactions. This type of modeling appears very promising for integrating the complex stream of mechanisms that must be considered and retrieving a full picture of the digestion process from mouth to colon. We may expect these approaches to become more and more accurate in the future and to serve as a useful means of understanding the physicochemical processes occurring in the gastrointestinaltract, interpreting postprandial in vivo data, making relevant predictions, and designing healthier foods. This review intends to provide a scientific and historical background of this field of research, before discussing the future challenges and potential benefits of the establishment of such a model to study and predict food digestion and absorption in humans.

Publisher

Annual Reviews

Subject

Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3