Journal
CHEMICAL ENGINEERING COMMUNICATIONS
Volume 209, Issue 3, Pages 338-350Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00986445.2020.1867849
Keywords
Soy protein concentrate; enzymatic hydrolysis; mathematical modeling; neural network; kinetics
Categories
Funding
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo
Ask authors/readers for more resources
This study aimed to model the enzymatic hydrolysis of proteins present in soybean protein concentrate meal using two steps. In the first step, the concentration of hydrolyzed peptide bonds was described as a function of time, using two kinetic models. In the second step, the way the enzyme breaks the protein down into smaller parts was investigated and modeled using an artificial neural network. The study found that while pH influenced the behavior of the reaction rate and the time profile of the degree of hydrolysis, it did not explicitly affect the peptide profile.
This study aimed to model the enzymatic hydrolysis of proteins present in soybean protein concentrate meal using two steps. In the first step, the concentration of hydrolyzed peptide bonds was described as a function of time, using two kinetic models. In the second step, the way the enzyme breaks the protein down into smaller parts was investigated and modeled using an artificial neural network. Enzymatic reaction assays used for modeling were performed at pH 8, 9, and 10. It was observed that although the pH influenced the behavior of the reaction rate and the time profile of the degree of hydrolysis (DH), the peptide profile was only a function of DH, and not explicitly a function of pH. These two steps provide a combined model that enables a more detailed understanding of the reaction, showing how it advances, and how product profile varies as the reaction progresses.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available