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Assessment of different kinetic models for the production of fructo‐oligosaccharides through enzymatic synthesis.

Authors :
Ureta, Maria Micaela
Salvadori, Viviana O.
Gómez‐Zavaglia, Andrea
Goñi, Sandro
Source :
Journal of Food Process Engineering; Jun2024, Vol. 47 Issue 6, p1-16, 16p
Publication Year :
2024

Abstract

Mathematical modeling is a great tool to understand the mechanism of fructo‐oligosaccharides (FOS) synthesis. The objective in this work is to adapt different models designed for FOS synthesis. Two approaches for the reaction mechanism, chain reaction and ping‐pong, were included in the analysis and genetic algorithm was implemented to find the best fit. Both approaches offered good results, chain reaction approach showed lower overall relative errors (below 8.5%) while ping‐pong mechanism best fit presented an overall error of 10.5%. No matter the approach used, the models with best fit involved the concept of glucose inhibition for the transfructosylation reaction. Different objective functions can be tested to reduce the relative errors when the model struggled to describe the behavior of one component. The sensitive analysis helps to evaluate all the variables such as reaction rate, time, productivity, and FOS yield, to find an optimal reaction condition. Practical applications: This research aims to describe and help understand the reaction mechanism involved in the enzymatic synthesis of fructo‐oligosaccharides, through the study of the kinetics using different mathematical models found in the consulted bibliography. This way, the operational conditions (substrate type and concentration, enzyme source [bacteria or fungi], enzyme configuration [purified or whole cells, free or immobilized], enzyme/substrate ratio, reaction time, temperature, and pH, batch or continuous mode) can be adapted, ensuring the attainment of the desired final product. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01458876
Volume :
47
Issue :
6
Database :
Complementary Index
Journal :
Journal of Food Process Engineering
Publication Type :
Academic Journal
Accession number :
178096047
Full Text :
https://doi.org/10.1111/jfpe.14663