MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS

The paper examines the issues associated with the integration of knowledge in meat product technology + computers + mathematical methods. The possibilities to use a computer system and mathematical methods for an optimal solution to tasks in the field of food biotechnology and meat product technolog...

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Main Authors: Marina A. Nikitina, Aleksandr N. Zakharov, Victoria V. Nasonova, Andrey B. Lisitsyn
Format: Article
Language:English
Published: The V.M. Gorbatov All-Russian Meat Research  Institute 2017-10-01
Series:Teoriâ i Praktika Pererabotki Mâsa
Subjects:
Online Access:https://www.meatjournal.ru/jour/article/view/73
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spelling doaj-f194d628743f4c899900ee69cda458f42021-07-28T21:17:52ZengThe V.M. Gorbatov All-Russian Meat Research  InstituteTeoriâ i Praktika Pererabotki Mâsa2414-438X2414-441X2017-10-0123667810.21323/2414-438X-2017-2-3-66-7853MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMSMarina A. Nikitina0Aleksandr N. Zakharov1Victoria V. Nasonova2Andrey B. Lisitsyn3V.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesThe paper examines the issues associated with the integration of knowledge in meat product technology + computers + mathematical methods. The possibilities to use a computer system and mathematical methods for an optimal solution to tasks in the field of food biotechnology and meat product technology are demonstrated.The applied software program SSS Bio realized in the computer system was developed and described. Using the one-way analysis of variance, which is one of the system modules, a comprehensive amount of statistical data for interpretation of the results was obtained. The program modules (correlation and regression analysis) allow establishing the model structure and parameters that link quantitative resulting and factorial variables, as well as assessing a degree of their correspondence with the experimental data. This kind of statistical analysis makes it possible to solve the main task of an experiment when the observed and resulting variables are quantitative.Based on the experimental data obtained with the use of the computer system SSS Bio, the mathematical models of moisture binding capacity (MBC), moisture holding capacity (MHC) and fat binding capacity (FBC) in sausage meat were calculated for sausages with isolated soya protein depending on the fat and protein content using the module of multiple regression of the computer system.The obtained stochastic dependence of changes in MBC (Y) on the total protein (X1) and fat (X2) content in sausage meat shows that at the constant level of fat, an increase in total protein favors a growth in MBC of sausage meat. However, a growth in MBC per unit of protein decreases with an increase in the fat amount.https://www.meatjournal.ru/jour/article/view/73computer modelingstatistical processingsss bio systemexperimental datasausage meatcycle of modeling system
collection DOAJ
language English
format Article
sources DOAJ
author Marina A. Nikitina
Aleksandr N. Zakharov
Victoria V. Nasonova
Andrey B. Lisitsyn
spellingShingle Marina A. Nikitina
Aleksandr N. Zakharov
Victoria V. Nasonova
Andrey B. Lisitsyn
MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
Teoriâ i Praktika Pererabotki Mâsa
computer modeling
statistical processing
sss bio system
experimental data
sausage meat
cycle of modeling system
author_facet Marina A. Nikitina
Aleksandr N. Zakharov
Victoria V. Nasonova
Andrey B. Lisitsyn
author_sort Marina A. Nikitina
title MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
title_short MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
title_full MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
title_fullStr MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
title_full_unstemmed MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS
title_sort modeling as a method for scientific cognition of complex meat systems
publisher The V.M. Gorbatov All-Russian Meat Research  Institute
series Teoriâ i Praktika Pererabotki Mâsa
issn 2414-438X
2414-441X
publishDate 2017-10-01
description The paper examines the issues associated with the integration of knowledge in meat product technology + computers + mathematical methods. The possibilities to use a computer system and mathematical methods for an optimal solution to tasks in the field of food biotechnology and meat product technology are demonstrated.The applied software program SSS Bio realized in the computer system was developed and described. Using the one-way analysis of variance, which is one of the system modules, a comprehensive amount of statistical data for interpretation of the results was obtained. The program modules (correlation and regression analysis) allow establishing the model structure and parameters that link quantitative resulting and factorial variables, as well as assessing a degree of their correspondence with the experimental data. This kind of statistical analysis makes it possible to solve the main task of an experiment when the observed and resulting variables are quantitative.Based on the experimental data obtained with the use of the computer system SSS Bio, the mathematical models of moisture binding capacity (MBC), moisture holding capacity (MHC) and fat binding capacity (FBC) in sausage meat were calculated for sausages with isolated soya protein depending on the fat and protein content using the module of multiple regression of the computer system.The obtained stochastic dependence of changes in MBC (Y) on the total protein (X1) and fat (X2) content in sausage meat shows that at the constant level of fat, an increase in total protein favors a growth in MBC of sausage meat. However, a growth in MBC per unit of protein decreases with an increase in the fat amount.
topic computer modeling
statistical processing
sss bio system
experimental data
sausage meat
cycle of modeling system
url https://www.meatjournal.ru/jour/article/view/73
work_keys_str_mv AT marinaanikitina modelingasamethodforscientificcognitionofcomplexmeatsystems
AT aleksandrnzakharov modelingasamethodforscientificcognitionofcomplexmeatsystems
AT victoriavnasonova modelingasamethodforscientificcognitionofcomplexmeatsystems
AT andreyblisitsyn modelingasamethodforscientificcognitionofcomplexmeatsystems
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