Зинаида Семеновна Зобкова

Dr. Зинаида Семеновна Зобкова


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 January 2022 in Foods
Verified
Journal Article
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ЗЗЗинаида Семеновна Зобкова
Зинаида Семеновна Зобкова
ELEkaterina Lazareva
Ekaterina Lazareva
VSVladislav Semipyatniy
Vladislav Semipyatniy
The development of food products implies ensuring the optimal composition and ratio of the basic components, as well as their technological compatibility. A priori, the quality of raw materials, the optimal formula of the product and the efficiency of the technological process determine the quality of products, including biological value. The use of whole-cell sensors such as infusoria Tetrahymena pyriformis is most productive for screening biological studies. At present, for a comprehensive assessment there are no data on the use of simplest technology of fermented dairy products and the design of their biological value. The purpose of this research is to develop a methodology for creating whole-milk products of optimal biological value using the express method of biotesting. The research object was yogurt with the ratio of the mass fraction of fat and protein in the range of 0.36 ÷ 1.5, sucrose in the range of 5 ÷ 10%. An express method for determining the relative biological value of fermented dairy products using test organisms and an original methodology for creating whole-milk products of optimal biological value have been developed. A software has been developed to calculate formula of the product optimized for the following indicators: the relative biological value of the product, the cost of raw material and basic materials. The methodology is a tool to assist industry organizations in improving production technologies and quality management systems.

11 October 2022 in Foods
Verified
Journal Article
Open access
PDF file
ЗЗЗинаида Семеновна Зобкова
Зинаида Семеновна Зобкова
EYElena A. Yurova
Elena A. Yurova
VSVladislav Semipyatniy
Vladislav Semipyatniy
ELEkaterina Lazareva
Ekaterina Lazareva
DZDaria V. Zenina
Daria V. Zenina
ISIrina R. Shelaginova
Irina R. Shelaginova
The key trends driving the global dairy market are shelf-life extension and generating consumer demand for new products. Healthy diets and special foods meet the criteria based on the protein digestibility-corrected amino acid score, while other factors affecting the digestibility and actual biological value of the protein are not considered. Express biological evaluation tests are very important for choosing the optimal formulation and efficient manufacturing process in order to maximize the biological value (BV). Such tests adequately represent the food properties: safety, nutrition value, digestibility, health benefits, etc. This study deals with the procedures for the quick biological evaluation of dairy products using indicator organisms. We adapted the relative biological value evaluation procedure, involving Tetrahymena pyriformis, for curd (cottage cheese) and curd products. The experiments showed that the most significant parameters are the milk pasteurization temperature and the curd heating temperature. The full factorial experiment identified the optimal curd production conditions to maximize the relative biological value (RBV): 81 °C milk pasteurization temperature and 54 °C curd heating temperature using the acid method of curd production. With these parameters, the RBV is at least 282%. Biotesting confirmed the optimal curd product component ratio of 60% curd to 40% fermented dairy beverage.

24 October 2023 in Food Science and Nutrition
Verified
Journal Article
Open access
ЗЗЗинаида Семеновна Зобкова
Зинаида Семеновна Зобкова
The purpose of building a predictive model for optimization of technological processes probiotic fermented dairy product was providing the design of some set of formulations in which the RBV indicator (relative biological value, %) would correspond to the maximum value at given production parameters.