Title:Kinetic Models to Produce an Antioxidant by Enzymatic Hydrolysis of Bovine Plasma Protein Using a High Substrate Concentration
VOLUME: 15 ISSUE: 2
Author(s):Nathalia A. Gómez*, Leidy J. Gómez and José E. Zapata
Affiliation:Nutrition and Food Technology Group, Food Engineering Department, Faculty of Pharmaceuticals and Food Sciences, University of Antioquia, Medellín, Nutrition and Food Technology Group, Food Engineering Department, Faculty of Pharmaceuticals and Food Sciences, University of Antioquia, Medellín, Nutrition and Food Technology Group, Food Engineering Department, Faculty of Pharmaceuticals and Food Sciences, University of Antioquia, Medellín
Keywords:Antioxidants, degree of hydrolysis, enzymatic hydrolysis, kinetic model, pH-Stat method, protein hydrolysates.
Abstract:Background: The animal blood that is produced in a slaughterhouse is a potential source
of inexpensive proteins used in the food industry around the world. However, 60% of it is surplus,
and it ends with a negative environmental impact.
Introduction: The enzymatic hydrolysis of proteins represents a good way to produce peptides with
different biological activities.
Methods: Enzymatic hydrolysis of bovine plasma with subtilisin at an alkaline pH and 61.5°C was
performed using the pH-stat method. Experiments were conducted considering the effects of a high
initial substrate concentration (So) and the enzyme/substrate ratio (E/S) minimizing the processing
time necessary to obtain a specific degree of hydrolysis (DH).
Results: The best conditions obtained were 42 g/L of So and 0.89 AU/g substrate of E/S until a DH
of 20% in 11,1 ± 1,1 min was achieved to the tested conditions, which result in a fitted empirical
polynomial equation of degree 3.
Conclusion: A kinetic equation is established to relate the DH and the reaction time to a relative error
of less than 5% in the fit, to obtain a good antioxidant product in an industrially interesting time.
Additionally, the results suggest a good adjustment of the data with a determination coefficient (R2)
of 0.9745 in validation.
