Prediction of bakery products nutritive value based on mathematical modeling of biochemical reactions
Автор: Ponomareva E.I., Kaveshnikov V.Y., Zastrogina N.M., Ryazhskikh V.I.
Журнал: Вестник Воронежского государственного университета инженерных технологий @vestnik-vsuet
Рубрика: Информационные технологии, моделирование и управление
Статья в выпуске: 1 (55), 2013 года.
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Researches are devoted to identifying changes in the chemical composition of whole-grain wheat bread during baking and to forecasting of food value of bakery products by mathematical modeling of biochemical transformations. The received model represents the invariant composition, considering speed of biochemical reactions at a batch of bakery products, and allowing conduct virtual experiments to develop new types of bread for various categories of the population, including athletes. The offered way of modeling of biochemical transformations at a stage of heat treatment allows to predict food value of bakery products, without spending funds for raw materials and large volume of experiment that will provide possibility of economy of material resources at a stage of development of new types of bakery products and possibility of production efficiency increase.
Короткий адрес: https://sciup.org/14039988
IDR: 14039988