Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins

Systematic modeling of the enzymatic hydrolysis of milk proteins is needed to assist the study and production of partially hydrolyzed milk. The enzymatic hydrolysis of milk proteins was characterized and evaluated as a function of the temperature and protease concentration using Alcalase, Neutrase a...

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Main Authors: Pedro Valencia, Karen Espinoza, Carolina Astudillo-Castro, Fernando Salazar
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/11/24/4080
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author Pedro Valencia
Karen Espinoza
Carolina Astudillo-Castro
Fernando Salazar
author_facet Pedro Valencia
Karen Espinoza
Carolina Astudillo-Castro
Fernando Salazar
author_sort Pedro Valencia
collection DOAJ
description Systematic modeling of the enzymatic hydrolysis of milk proteins is needed to assist the study and production of partially hydrolyzed milk. The enzymatic hydrolysis of milk proteins was characterized and evaluated as a function of the temperature and protease concentration using Alcalase, Neutrase and Protamex. Modeling was based on the combination of two empirical models formed by a logarithmic and a polynomial equation to correlate the kinetic constants and the operating conditions. The logarithmic equation fitted with high accuracy to the experimental hydrolysis curves with the three proteases (<i>R</i><sup>2</sup> > 0.99). The kinetic constants were correlated with the operating conditions (<i>R</i><sup>2</sup> > 0.97) using polynomial equations. The temperature and protease concentration significantly affected the initial rate of hydrolysis, i.e., the kinetic constant <i>a</i>, while the kinetic constant <i>b</i> was not significantly affected. The values for the kinetic constant <i>a</i> were predicted according to the operating conditions and they were strongly correlated with the experimental data (<i>R</i><sup>2</sup> = 0.95). The model allowed for a high-quality prediction of the hydrolysis curves of milk proteins. This modeling tool can be used in future research to test the correlation between the degree of hydrolysis and the functional properties of milk hydrolysates.
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spelling doaj.art-3887c940a13f4fc684782f415ed656522023-11-24T14:52:06ZengMDPI AGFoods2304-81582022-12-011124408010.3390/foods11244080Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk ProteinsPedro Valencia0Karen Espinoza1Carolina Astudillo-Castro2Fernando Salazar3Department of Chemical and Environmental Engineering, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, ChileDepartment of Chemical and Environmental Engineering, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, ChileSchool of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddington 716, Valparaíso 2360100, ChileSchool of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddington 716, Valparaíso 2360100, ChileSystematic modeling of the enzymatic hydrolysis of milk proteins is needed to assist the study and production of partially hydrolyzed milk. The enzymatic hydrolysis of milk proteins was characterized and evaluated as a function of the temperature and protease concentration using Alcalase, Neutrase and Protamex. Modeling was based on the combination of two empirical models formed by a logarithmic and a polynomial equation to correlate the kinetic constants and the operating conditions. The logarithmic equation fitted with high accuracy to the experimental hydrolysis curves with the three proteases (<i>R</i><sup>2</sup> > 0.99). The kinetic constants were correlated with the operating conditions (<i>R</i><sup>2</sup> > 0.97) using polynomial equations. The temperature and protease concentration significantly affected the initial rate of hydrolysis, i.e., the kinetic constant <i>a</i>, while the kinetic constant <i>b</i> was not significantly affected. The values for the kinetic constant <i>a</i> were predicted according to the operating conditions and they were strongly correlated with the experimental data (<i>R</i><sup>2</sup> = 0.95). The model allowed for a high-quality prediction of the hydrolysis curves of milk proteins. This modeling tool can be used in future research to test the correlation between the degree of hydrolysis and the functional properties of milk hydrolysates.https://www.mdpi.com/2304-8158/11/24/4080milk proteinprotein hydrolysisenzymatic hydrolysismathematical modeling
spellingShingle Pedro Valencia
Karen Espinoza
Carolina Astudillo-Castro
Fernando Salazar
Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
Foods
milk protein
protein hydrolysis
enzymatic hydrolysis
mathematical modeling
title Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
title_full Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
title_fullStr Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
title_full_unstemmed Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
title_short Modeling Tool for Studying the Influence of Operating Conditions on the Enzymatic Hydrolysis of Milk Proteins
title_sort modeling tool for studying the influence of operating conditions on the enzymatic hydrolysis of milk proteins
topic milk protein
protein hydrolysis
enzymatic hydrolysis
mathematical modeling
url https://www.mdpi.com/2304-8158/11/24/4080
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AT carolinaastudillocastro modelingtoolforstudyingtheinfluenceofoperatingconditionsontheenzymatichydrolysisofmilkproteins
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