This work is aimed at developing a procedure for controlling the rheological properties of wheat dough during its kneading based on a parametric model. Dough kneading is the most important technological operation in the production of bakery products. When organoleptically assessing the consistency of the dough, it is difficult to accurately determine its rheological properties while maintaining the mass of water and its intensity at a constant level of the mass of the kneaded dough, considering the processed flour. However, our proposed procedure can solve these problems. According to the results obtained, it was experimentally found that the nature of changes in the specific intensity of dough kneading, which contributed to obtaining the best quality bread at a kneading body rotational speed of 150 rpm, is optimal. The dough kneading intensity leads to a reduction in the kneading time from 290 s at nm=60 rpm to 90 s at nm=240 rpm. The optimal duration of dough kneading was 124 s. The results make it possible to determine the water absorption capacity of flour in the production of bakery products, considering its baking properties and dough recipe, and, accordingly, the optimal moisture content of the dough
To determine the optimal parameters of the final product, a mathematical model of the dough preparation process using oatmeal was developed. As a criterion for optimization, we took the following indicators: organoleptic properties and nutritional value of bread. Input factors: moisture content of WT dough, NM oatmeal content, and acidity of the CT test.
The objects of research are the process of sugar beet processing, sugar beet, sugar and molasses. The problem of determining critical control points in sugar beet processing and safety indicators of raw materials and products of the sugar industry was solved. The results were obtained based on the risk analysis and the system of control points for sugar beet processing, five critical control points were identified according to the criteria of physical, chemical and biological contamination. It was also found that in terms of safety indicators, raw materials – sugar beet, and finished products meet the requirements of regulatory documents for microbiological indicators and heavy metal content. The safety indicators of sugar beet, white sugar, molasses and beet pulp were studied. Microbiological indicators: CGB (coliforms), pathogens and S.aureus were not found in sugar beet samples. Microbiological indicators of QMAFAnM and yeast of white sugar, molasses and pulp 1–5*102, 6–7*102, 5–8*102 and 2–3*101, 1–3*101, 1*101 CFU/cm3, respectively, are within acceptable limits. The content of toxic elements did not exceed the permissible limits. For Kazakhstan sugar factories, no studies on hazard analysis and critical control points in the sugar industry have been conducted before, so the results of the study will fill this gap. The scope and conditions for the practical use of the results obtained are the possibilities of raising the quality of finished products and improving the safety of raw materials and finished products, increasing the shelf life of by-products (molasses, beet pulp) of sugar beet production. These opportunities are based on the hazard analysis and critical control points (HACCP) in sugar beet processing
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.