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TIM for Nutrition Research

Dynamic in vitro GastroIntestinal model

TIM Technology

The TIM system is used to get reproducible and reliable scientific data about the behavior of your food products during transit through the stomach, the small intestine and large intestine. This Dynamic in vitro gastro intestinal model is able to mimic the GI conditions of humans in different age groups, like adults, infants and elderly, but also various animal conditions like pigs, calf’s and dogs. As a reliable in vitro predictive tool, the TIM systems are an alternative to animal studies and help you reduce the failure rate of time-consuming and expensive human clinical studies. The TIM system contributes to an efficient product development by selecting your most promising candidate aimed for selected populations. Studies can be performed under different GI conditions and health status in a fed or fasted state.
A movie is created to explain the dynamics and possibilities of the model, please click right to view

System Appearance


Application for Food and Nutrition Research

サンプルイメージ Digestibility Studies; Carbohydrate, Fat, Protein.
Protein quality, i.e. Digestible Indispensable Amino Acid Score (DIAAS) determination..
Digestibility and bioaccessibility of nutrients in infant formula.
Prediction and Comparison of Glycemic Response (TIM Carbo).
Evaluation of viscosity, thickening agent in Stomach.
Health benefits of soluble dietary fibers.
Gut Microbiome studies, i.e. effects of Prebiotics, Antibiotics- or Probiotics.
Probiotics Survival, Intestinal Microflora Ecology Research.
Food Safety/Efficacy studies; e.g. Nitrosamines, Mycotoxins,etc.
POC of Functional food; EU Nutrition Claim, Health Claim Support.
Evaluation under different physiological conditions, e.g. infants, adults, elderlies, diseases, animals, etc.

Publication       → □ Download Publication list ver.Nov2020.

Food Research International, 122, 2019.
Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network.
Susann Bellmanna, Shaji Krishnanb, Albert de Graafb, Rianne A. de Ligt, Wilrike J. Pasmanb, Mans Minekusa, Robert Havenaar.

Beneficial microbes, 10(1), 77-87. 2019
Spores of Bacillus coagulans GBI-30, 6086 show high germination, survival and enzyme activity in a dynamic, computer-controlled in vitro model of the gastrointestinal tract.
Keller, D., Verbruggen, S., Cash, H., Farmer, S., & Venema, K.

Clinical Nutrition Experimental 17, 2018
Human glycemic response curves after intake of carbohydrate foods are accurately predicted by combining in vitro gastrointestinal digestion with in silico kinetic modeling.
Susann Bellmann, Mans Minekus, Peter Sanders, Sieto Bosgra, Robert Havenaar.

JPGN Vol.65, Number 6, December 2017
Protein Digestion and Quality of Goat and Cow Milk Infant Formula and Human Milk Under Simulated Infant Conditions.
Annet Maathuis, Robert Havenaar, Tao He, Susann Bellmann.

Nutrition Research, 36, 2016
Herring roe protein has a high Digestible Indispensable Amino Acid Score (DIAAS) using a dynamic in vitro gastrointestinal model.
Robert Havenaara, Annet Maathuisa, Aard de Jonga, Daniele Mancinelli, Alvin Berger, Susann Bellmann.

Food Research International, 88, 2016.
Development of an advanced in vitro model of the stomach and its evaluation versus human gastric physiology.
Susann Bellmann, Jan Lelieveld, Tom Gorissen, Mans Minekus, Robert Havenaar