Evidence map›Paper›PMID 36553822›Full record

ArticleFoods (Basel, Switzerland)2022

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

Pedro Valencia, Karen Espinoza, Carolina Astudillo-Castro, Fernando Salazar

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pedro ValenciaDepartment of Chemical and Environmental Engineering, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile.ORCID 0000-0003-2422-1548
Karen EspinozaDepartment of Chemical and Environmental Engineering, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile.
Carolina Astudillo-CastroSchool of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddington 716, Valparaíso 2360100, Chile.ORCID 0000-0001-8568-8809
Fernando SalazarSchool of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddington 716, Valparaíso 2360100, Chile.ORCID 0000-0003-2630-5040

Funding

Agencia Nacional de Investigación y Desarrollo FONDECYT/Initiation 11110249Agencia Nacional de Investigación y Desarrollo FONDECYT/Initiation 11110402Institut Français Project 2012-2013Production Development Corporation INNOVA-CORFO I+D 11IDL1-10462
6 · The paper itself

Abstract

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 (R2 > 0.99). The kinetic constants were correlated with the operating conditions (R2 > 0.97) using polynomial equations. The temperature and protease concentration significantly affected the initial rate of hydrolysis, i.e., the kinetic constant a, while the kinetic constant b was not significantly affected. The values for the kinetic constant a were predicted according to the operating conditions and they were strongly correlated with the experimental data (R2 = 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.

Indexed as

enzymatic hydrolysismathematical modelingmilk proteinprotein hydrolysis

Identifiers

PMID36553822
PMCPMC9777810

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.