Mass transfer approach to in‐vitro glycemic index of different biscuit compositions

Macromolecular, thermal, and nonthermal technologies for reduction of glycemic index in food-A review

Consumers rely on product labels to make healthy choices, especially with regard to the glycemic index (GI) and glycemic load (GL), which identify foods that stabilize blood sugar. Employing both thermal and nonthermal processing techniques can potentially reduce the GI, contributing to improved blood sugar regulation and overall metabolic health. This study concentrates on the most current advances in GI-reduction food processing technologies. Food structure combines fiber, healthy fats, and proteins to slow digestion, reducing GI. The influence of thermal approaches on the physical and chemical modification of starch led to decreased GI. The duration of heating and the availability of moisture also determine the degree of hydrolysis of starch and the glycemic effects on food. At a lower temperature, the parboiling revealed less gelatinization and increased moisture. The internal temperature of the product is raised during thermal and nonthermal treatment, speeds up retrogradation, and reduces the rate of starch breakdown.

Prediction of in-vitro glycemic responses of biscuits in an engineered small intestine system

The Glycemic Index (GI) indicates the effect of a food product on the increase/decrease in postprandial blood glucose levels. Monitoring the glycemic response is important, as it is associated with the human nutrition absorption. However, human or animal blood sampling involves financial, ethical, and other challenges. Accordingly, in the recent past, many human digestion models have been developed to understand the intricate changes that occur during human digestion and absorption processes. Dynamic models help in studying the digestion mechanics and hypotheses related to the health effects of food ingredients in controlled conditions. The objective of this study is to predict the GI of different biscuit composition using an engineered small intestine system, considering a mass transfer approach and in-silico simulation. Different GI was predicted for biscuits: 62 for plain biscuits (N) containing only refined wheat flour; 57 for finger millet flour biscuits (F); 51 for wheat bran fortified biscuits (W). The results were close to human in-vivo values; GI of 76 for plain biscuits (N); 58 for finger millet biscuits (F) and 41 for wheat bran fortified (W) biscuits, respectively (with no significant difference in the GI values of Engineered model and human glucose blood sampling results) which was confirmed with Bland-Altmann statistics. This finding will help in predicting the glycemic response of new biscuit products serving as an alternative approach to human blood sampling for GI analysis.