An in-vitro upper gut simulator for assessing continuous gas production: A proof-of-concept using milk digestion

[Display omitted] •An in-vitro digestion simulator for real-time gas monitoring of CO2, H2& pH was developed.•In-vitro digestion simulator results were validated using milk as model food.•Gas production with lactase and simple bacterial model were investigated.•The simulator provided great insig...

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Bibliographic Details
Published in:	Journal of functional foods Vol. 47; pp. 200 - 210
Main Authors:	Pillai, N., Berean, K.J., Brkljaca, R., Greve, L.J., Kasapis, S., Kalantar-zadeh, K.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-08-2018 Elsevier
Subjects:	CO2 Digestion simulator Gas In-vitro Milk Gas H2 Digestion simulator In-vitro CO2 Milk
Online Access:	Get full text
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Summary:	[Display omitted] •An in-vitro digestion simulator for real-time gas monitoring of CO2, H2& pH was developed.•In-vitro digestion simulator results were validated using milk as model food.•Gas production with lactase and simple bacterial model were investigated.•The simulator provided great insight for understanding food digestion mechanisms. Using gases as biomarkers is receiving increasing attention across the field of gut health. The use of in-vitro digestion systems that measure gas is common to understand some of the complex systems that create these gases and previously have been conducted using long time period sampling schemes which miss important signatures regarding the dynamics of gas production. Here the development of a mono-compartment in-vitro digestion simulator capable of recording vital dynamic information in real-time including: CO2 concentration; high sensitivity H2 concentration; and pH are presented and validated utilising milk. The impact of a simplified bacterial model, bacterial population size and the presence of lactase are investigated. The favourable gas production outcomes are obtained when lactase is present, at 106 CFU of bacteria, in good agreement with clinical observations. This proof-of-concept system demonstrates reliable and repeatable results and has the potential to enhance the information capacity of current and future in-vitro simulators.
ISSN:	1756-4646 2214-9414
DOI:	10.1016/j.jff.2018.05.054