Box–Behnken Optimization of Soybean Meal Enzymatic Digestion for Small-Peptide Production

This study used soybean meal as the substrate and systematically optimized its enzymatic hydrolysis through single-factor experiments and response surface methodology. A predictive model based on a Box-Behnken design was developed to improve protein hydrolysis efficiency and increase the yield of functional products. The optimal conditions were 1.45% enzyme addition, a reaction time of 62 h, a temperature of 36.5 °C, and a moisture content of 35%. Under these conditions, the small-peptide content increased 16.33-fold. Structural analyses showed that enzymatic treatment markedly disrupted the compact surface of soybean meal, converting it into a loose, porous matrix. In addition, enzymolysis altered the protein secondary structure from ordered α-helices and folded conformations to more disordered, flexible forms, thereby improving the molecular-weight distribution. Composition analyses showed an 114.2% increase in total free amino acids, including essential amino acids. Moreover, DPPH radical-scavenging activity increased from 18.37% to 57.99%. Overall, this study optimized the enzymatic hydrolysis conditions for soybean meal and provides valuable insights for the development of high-value protein-peptide products.

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Publication Details

Journal
Foods
Published
2026-01-29
DOI
https://doi.org/10.3390/foods15030474
Primary Topic
Protein Hydrolysis and Bioactive Peptides
Type
article
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article

Box–Behnken Optimization of Soybean Meal Enzymatic Digestion for Small-Peptide Production

Fengming Li, Qixuan He, Jiang Yuan, Junmei Li et al.
Foods
Protein Hydrolysis and Bioactive Peptides
article

Box–Behnken Optimization of Soybean Meal Enzymatic Digestion for Small-Peptide Production

Fengming Li, Qixuan He, Jiang Yuan, Junmei Li, Yan Zhang, Changjiang Zang, Xiao Zhang
article en

Abstract

This study used soybean meal as the substrate and systematically optimized its enzymatic hydrolysis through single-factor experiments and response surface methodology. A predictive model based on a Box-Behnken design was developed to improve protein hydrolysis efficiency and increase the yield of functional products. The optimal conditions were 1.45% enzyme addition, a reaction time of 62 h, a temperature of 36.5 °C, and a moisture content of 35%. Under these conditions, the small-peptide content increased 16.33-fold. Structural analyses showed that enzymatic treatment markedly disrupted the compact surface of soybean meal, converting it into a loose, porous matrix. In addition, enzymolysis altered the protein secondary structure from ordered α-helices and folded conformations to more disordered, flexible forms, thereby improving the molecular-weight distribution. Composition analyses showed an 114.2% increase in total free amino acids, including essential amino acids. Moreover, DPPH radical-scavenging activity increased from 18.37% to 57.99%. Overall, this study optimized the enzymatic hydrolysis conditions for soybean meal and provides valuable insights for the development of high-value protein-peptide products.

FoodsVol. 15(3)
Xinjiang Agricultural University (CN), Changji University (CN), Tebian Electric Apparatus (China) (CN)
Openalex Percentile: Top 73%
Protein Hydrolysis and Bioactive Peptides
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