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Statistical methods in food recipes design

A methodology based on statistical methods for optimizing multicomponent compositions is applied for meat product recipes design. Using raw materials of animal and plant origin, virtual arrays of input variables (raw materials) are developed and chemical (protein, fat), mineral and vitamin compositi...

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Príomhchruthaitheoirí: Sadovoy, V. V., Садовой, В. В., Shchedrina, T. V., Щедрина, Т. В.
Formáid: Статья
Teanga:English
Foilsithe / Cruthaithe: IOP Publishing Ltd 2021
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Rochtain ar líne:https://dspace.ncfu.ru/handle/20.500.12258/14891
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spelling ir-20.500.12258-148912021-07-08T14:07:54Z Statistical methods in food recipes design Sadovoy, V. V. Садовой, В. В. Shchedrina, T. V. Щедрина, Т. В. Statistical methods Sustainable development Amino acids Animals Biotechnology Meats Product design Environmental management A methodology based on statistical methods for optimizing multicomponent compositions is applied for meat product recipes design. Using raw materials of animal and plant origin, virtual arrays of input variables (raw materials) are developed and chemical (protein, fat), mineral and vitamin compositions are calculated for each data array. The calculation of balance and rationality of the amino acid composition in the feedstock is established by clustering method. As a result, the recipe of cooked sausage based on raw materials of plant and animal origin is developed. The optimal recipe for the developed meat product has a high utilitarian coefficient (0.856), the amino acid rate of the limiting amino acid is 0.87. The manufactured prototype is distinguished by high organoleptic characteristics (average organoleptic indicator - 4.8 points). The finished product yield to the unsalted raw materials mass is equal to 120.3% 2021-02-03T14:15:04Z 2021-02-03T14:15:04Z 2020 Статья Voblikova, T.V., Sadovoy, V.V., Morgunova, A.V., Shchedrina, T.V., Semenova, Y.O. Statistical methods in food recipes design // IOP Conference Series: Earth and Environmental Science. - 2020. - Volume 613. - Issue 1. - Номер статьи 012160 http://hdl.handle.net/20.500.12258/14891 en IOP Conference Series: Earth and Environmental Science application/pdf application/pdf IOP Publishing Ltd
institution СКФУ
collection Репозиторий
language English
topic Statistical methods
Sustainable development
Amino acids
Animals
Biotechnology
Meats
Product design
Environmental management
spellingShingle Statistical methods
Sustainable development
Amino acids
Animals
Biotechnology
Meats
Product design
Environmental management
Sadovoy, V. V.
Садовой, В. В.
Shchedrina, T. V.
Щедрина, Т. В.
Statistical methods in food recipes design
description A methodology based on statistical methods for optimizing multicomponent compositions is applied for meat product recipes design. Using raw materials of animal and plant origin, virtual arrays of input variables (raw materials) are developed and chemical (protein, fat), mineral and vitamin compositions are calculated for each data array. The calculation of balance and rationality of the amino acid composition in the feedstock is established by clustering method. As a result, the recipe of cooked sausage based on raw materials of plant and animal origin is developed. The optimal recipe for the developed meat product has a high utilitarian coefficient (0.856), the amino acid rate of the limiting amino acid is 0.87. The manufactured prototype is distinguished by high organoleptic characteristics (average organoleptic indicator - 4.8 points). The finished product yield to the unsalted raw materials mass is equal to 120.3%
format Статья
author Sadovoy, V. V.
Садовой, В. В.
Shchedrina, T. V.
Щедрина, Т. В.
author_facet Sadovoy, V. V.
Садовой, В. В.
Shchedrina, T. V.
Щедрина, Т. В.
author_sort Sadovoy, V. V.
title Statistical methods in food recipes design
title_short Statistical methods in food recipes design
title_full Statistical methods in food recipes design
title_fullStr Statistical methods in food recipes design
title_full_unstemmed Statistical methods in food recipes design
title_sort statistical methods in food recipes design
publisher IOP Publishing Ltd
publishDate 2021
url https://dspace.ncfu.ru/handle/20.500.12258/14891
work_keys_str_mv AT sadovoyvv statisticalmethodsinfoodrecipesdesign
AT sadovojvv statisticalmethodsinfoodrecipesdesign
AT shchedrinatv statisticalmethodsinfoodrecipesdesign
AT ŝedrinatv statisticalmethodsinfoodrecipesdesign
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