Efecto de la fluidinámica del proceso sobre la cinética de hidrólisis enzimática de proteínas en la producción péptidos bioactivos a partir de residuos agroindustriales
Efecto de la fluidinámica del proceso sobre la cinética de hidrólisis enzimática de proteínas en la producción péptidos bioactivos a partir de residuos agroindustriales
-
DOI: https://doi.org/10.22533/at.ed.1342410073
-
Palavras-chave: hidrolisis enzimática, vísceras, Oreochromis sp., alcalasa 2,4l, inhibición enzimática.
-
Keywords: enzymatic hydrolysis, vísceras, Oreochromis sp., alcalase 2,4l, enzyme inhibition.
-
Abstract: Chemical and biochemical reactions largely depend on the conditions of the fluid medium in which they occur. Enzymatic reactions are no exception. For this reason, this chapter presents the results of the study on the effect of fat concentration (Cg) and stirring speed (Va) on the degree of hydrolysis (GH) in the enzymatic hydrolysis reaction of proteins that have been reported as a source of bioactive peptides. Additionally, the effect of scaling on the production of these peptides is evaluated. Proteins from red tilapia viscera (Oreochromis sp.) are used as model substrates to study the effect of Cg and Va, and red Californian earthworm protein (Eisenia foetida) is used to study the scaling effect. In both cases, the enzyme used is Alcalase 2.4L. The effect of Cg and Va was established using a central composite experimental design. It was determined that fat acts as an inhibitor of Alcalase 2.4L in the enzymatic hydrolysis of the protein used as a model. Based on this, experiments were designed to establish the mechanism by which this inhibition occurs. On the other hand, it was established that stirring speed can also affect the hydrolytic reaction, so tests were designed to determine the nature of this effect on enzyme activity. Dimensional analysis methodology was applied to define the relevant fluid dynamic variables in the scaling process from 0.5 L (model) to 7.5 L (prototype). Four dimensionless numbers were obtained, allowing the process to be scaled from model to prototype without significant differences in the output variables.
- José E. Zapata Montoya
- Leidy J. Gómez-Sampedro
- Yhoan S. Gaviria Gaviria