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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Kovalev V. S., Manukovsky N. S., Tikhomirov A. A.
Заглавие : Computing-feasibility study of NASA nutrition requirements as applied to a bioregenerative life support system
Место публикации : Acta Astronaut: Elsevier Ltd, 2019. - Vol. 159. - С. 371-376. - ISSN 00945765 (ISSN) , DOI 10.1016/j.actaastro.2019.04.001
Ключевые слова (''Своб.индексиров.''): constraint--food--modeling--nutrient--objective function--amino acids--animals--food products--models--nasa--nutrients--nutrition--proteins--saturated fatty acids--uncertainty analysis--vitamins--bioregenerative life support systems--constraint--essential amino acids--independent variables--interpretation of models--long duration missions--lower and upper bounds--objective functions--life support systems (spacecraft)
Аннотация: In view of previous studies, a list of 46 foods designated for use in bioregenerative life support system was composed. With the help of a computer program, daily sets of foods of plant and animal origin were compiled from the list of foods. The objective function of modeling was intended to minimize the discrepancy between the calculated values of nutrients in daily food sets and NASA nutrition requirements for long-duration missions. The independent variables in the model were the masses of foods restricted by the lower and upper bounds. It was established that a food set is able to comprise 10-46 foods with violation of the NASA nutrition requirements for iron, vitamin B5 and vitamin D daily intakes. Inclusion of 9 foods in a set resulted in a further violation of the NASA standards concerning saturated fat. As the number of foods in a set has increased from 10 to 22, the objective function decreased from 1.0736 to 1.0332, followed by a gradual increase to 1.1233, when the maximum number of foods was selected from the list of foods. The source of uncertainty in the interpretation of modeling results are the standard NASA intakes of magnesium, potassium, zinc, manganese, vitamin C, thiamin, riboflavin, niacin, vitamin B6, folate, vitamin B12, vitamin E, vitamin K and n-6 fatty acids, given as exact values. Varying the nutrient content of food sets did not significantly affect the value of the objective function. However, some solutions were infeasible, due to the violation of the NASA standard concerning saturated fat. Also, there were food sets in which the scores of sulfur-containing amino acids and threonine were below 100. In order to reliably maintain the scores of essential amino acids above 100 in a food set, it is necessary to maintain a mass ratio of “animal protein/total protein” equal to 2/3 in accordance with the requirement of NASA. © 2019 IAA
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Adamovich V.V., Rogozin D.Yu., Degermendzhi A.G.
Заглавие : Developing the control criterion for a continuous culture of microorganisms
Место публикации : Microbiology. - 2005. - Vol. 74, Is. 1. - С. 1-11. - ISSN 00262617 (ISSN) , DOI 10.1007/s11021-005-0021-z
Ключевые слова (''Своб.индексиров.''): chemostat--control criterion--control factor--microorganism population--sensitivity coefficients
Аннотация: A short survey and a critical analysis of previously proposed criteria for growth control of populations of microorganisms in the chemostat are presented. Based on the analysis of a mathematical model of the steady state of a microbial population in the chemostat, an adequate control criterion is suggested, along with a method to identify the corresponding control factors. The new control criterion is expressed as a product of the factor transformation coefficient and the sensitivity coefficient (SC) of the biomass with respect to the change in the factor at the chemostat inlet (hereinafter, the biomass SC). The control criterion determines the strength of the control exerted by a factor. The method of determining control factors consists in experimental determination of the real SCs for factors and the biomass and calculation on this basis of the corresponding ideal SCs, assuming constant factor transformation coefficients. The ideal SCs are shown to add up to integer values, a constraint that we call quantization relationships. Such relationships are used to test the completeness of the list of control factors. The proposed method was applied to both our own and literature data. В© 2005 Pleiades Publishing, Inc.
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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Adamovich V.V., Rogozin D.Yu., Degermendzhi A.G.
Заглавие : Developing the control criterion for a continuous culture of microorganisms
Место публикации : Mikrobiologiya. - 2005. - Vol. 74, Is. 1. - С. 5-16. - ISSN 00263656 (ISSN)
Ключевые слова (''Своб.индексиров.''): chemostat--control criterion--control factor--microorganism population--sensitivity coefficients--algorithm--bacterium--biological model--biomass--culture medium--ecosystem--growth, development and aging--methodology--microbiological examination--review--algorithms--bacteria--bacteriological techniques--biomass--culture media--ecosystem--models, biological
Аннотация: A short survey and critical analysis of previously proposed criteria for growth control of populations of microorganisms in the chemostat are presented. Based on the analysis of a mathematical model of the steady-state of a microbial population in the chemostat, an adequate control criterion is suggested, along with a method to identify the corresponding regulating factors. The new control criterion is expressed as a product of the factor transformation coefficient and the biomass sensitivity coefficient (SC) with respect to the change of the factor at the chemostat inlet (referred to in the sequel as the biomass SC). The control criterion determines the strength of the control exerted by this or that factor. The method of determination of the regulating factors consists in experimental determination of the real SCs for factors and the biomass and in calculating on this basis the corresponding ideal SCs for constant factor transformation coefficients. The ideal SCs are shown to add up to an integer value, a constraint that we call "quantization" relationships. Such relationships are used to test the completeness of the drawn list of control factors. The proposed method was applied to our own and literature data.
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