Development of mathematic model of spiced sour-milk pastas quality

dc.contributor.authorGuts, Viktor
dc.contributor.authorYushchenko (Gonchar), Natalia
dc.contributor.authorBandura (Kuzmyk), Uliana
dc.date.accessioned2018-11-27T10:08:10Z
dc.date.available2018-11-27T10:08:10Z
dc.date.issued2018
dc.description.abstractComprehensive assessment effectiveness and food products quality forecast was substantiated using organoleptic estimation, profiles construction and usage of differential equations. The pastas with spices based on soft diet cottage cheese produced of variable recipes quality was selected as an object of the study.In the pastas composition such spices as allspice, black pepper, ginger, cinnamon, anise, cloves, cardamom, fenugreek and nutmeg were used in amount of 0.27... 1.1%. Profiles of square area quality and differential equation for solving and analyzing by a computer program with usage of «Maple» pack were developed based on mathematical model in order to assess the quality o f these dairy products. The analytical research results on product quality were obtained from organoleptic parameters and content of biologically active substances (tannin, catechin, and rutin) with usage of symbolic computer mathematics and graphic images methods.uk_UA
dc.identifier.citationGoots, V. Development of mathematic model of spiced sour-milk pastas quality / V. Goots, N. Yushchenko, U. Kuzmyk // Food and Environment Safety. – 2018. – № 2. – Р. 224-232.uk_UA
dc.identifier.urihttps://dspace.nuft.edu.ua/handle/123456789/28547
dc.language.isoenuk_UA
dc.subjectnutritious system conditionuk_UA
dc.subjectпоживний стан системиuk_UA
dc.subjectcomprehensive evaluation of qualityuk_UA
dc.subjectкомплексна оцінка якостіuk_UA
dc.subjectmathematic modeluk_UA
dc.subjectматематична модельuk_UA
dc.subjectкафедра технології молока і молочних продуктівuk_UA
dc.subjectкафедра технології ресторанної і аюрведичної продукціїuk_UA
dc.subjectкафедра екології та екоменеджменту
dc.titleDevelopment of mathematic model of spiced sour-milk pastas qualityuk_UA
dc.typeArticleuk_UA

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