Optimization of the viability of probiotics in a new fermented milk drink by the genetic algorithms for response surface modeling
Journal
Journal of Food Science
Journal Volume
68
Journal Issue
2
Pages
632-638
Date Issued
2003
Author(s)
Abstract
Calcium glucose (0.0 to 0.5%), sodium gluconate (0.0 to 1.0%), and N-acetylglucosamine (0.0 to 1.0%) were added to skim milk to retain theviability of Lactobacillus acidophilus and Bifidobacterium longum. To carry out response surface modeling, the regression method was performed on experimental results to build mathematical models. The models were then formulated as an objective function in an optimization problem that was consequently optimized using a genetic algorithm approach to obtain the maximum viability of the probiotics. The genetic algorithms (GAs) were examined to search for the optimal value. The results indicated that GAs were very effective for optimizing the activity of probiotic cultures.
Type
journal article