CJFST.2020.12.2.16

Original scientific paper                                                                                                                                                  DOI: 10.17508/CJFST.2020.12.2.16

Methodology for the determination of polyphenol bioaccessibility

Jozo Ištuk1, Drago Šubarić2, Lidija Jakobek1

1Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, Department of Applied Chemistry and Ecology, Franje Kuhača 18, 31000 Osijek, Croatia
2Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, Department of Food Technology, Franje Kuhača 18, 31000 Osijek, Croatia

ARTICLE INFO ABSTRACT
Article history:
Received: February 24, 2020
Accepted: July 17, 2020
Polyphenols are secondary metabolites of plants, commonly present in the human diet. Since they exhibit a wide range of bioactivities, polyphenols are extensively studied in the fields of nutrition and human health. Current studies have shown a high interest in determining the bioaccessibility of polyphenols, the amount of polyphenols that becomes available for absorption in the digestive tract. Bioaccessibility can be determined with the help of in vitro static gastrointestinal (GI) digestion models. In such a methodology, food samples containing polyphenols are subjected to a series of conditions that mimic the human gastrointestinal tract, with associated parameters. A high number of GI models with slightly different parameters were published. The purpose of this paper is to review the literature, focusing on the determination of polyphenol bioaccessibility and the parameters used in these GI digestion models, such as time, temperature, and pH of digestion, as well as enzyme concentrations. Gastrointestinal digestion models consist of oral, gastric and small intestine phases. These models provide a simple and reliable methodology which enables insight into the amount of bioaccessible polyphenols.
Keywords:
oral phase
gastric phase
small intestine phase
parameters
gastrointestinal models