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Asian-Australas J Anim Sci > Volume 21(6); 2008 > Article
Animal Products
Asian-Australasian Journal of Animal Sciences 2008;21(6): 896-902.
DOI: https://doi.org/10.5713/ajas.2008.70465    Published online May 7, 2008.
Development of Probiotic Candies with Optimal Viability by Using Response Surface Methodology and Sequential Quadratic Programming
Kun-Nan Chen, Ming-Ju Chen*, Jia-Shian Shiu
Correspondence:  Ming-Ju Chen,
Abstract
The objective of this research was to create a new probiotic candy with good flavor and healthy benefits by using the response surface method and a sequential quadratic programming technique. The endpoint was to increase the varieties of dairy products and enhance their market values. In this study, milk was mixed with yogurt cultures (Lactobacillus bulgaricus, Streptococcus thermophilus) and probiotics (L. paracasei, Bifidobacterium longum) and incubated at 37??C for 20 h. The samples were blended with lyoprotectants (galactose, skim milk powder and sucrose), freeze dried and then mixed with sweeteners (lactose and xylitol) to improve the texture for forming tablets. The processing conditions were optimized in two steps: the first step constructed a surface model using response surface methodology; the second step optimized the model with a sequential quadratic programming procedure. Results indicated that skim milk inoculated with L. delbrueckii subsp. Bulgaricus, S. thermophilus, L. paracasei subsp. paracasei and B. longum and blended with 6.9% of galactose, 7.0% of sucrose and 8.0% of skim milk powder would produce a new probiotic candy with the highest viability of probiotics and good flavor. A relatively higher survival of probiotics can be achieved by placing the probiotic candy product in a glass bottle with deoxidant and desiccant at 4??C. These probiotic counts remained at 106-108 CFU/g after being stored for two months.
Keywords: Probiotics; Lyoprotectants; Optimization; Response Surface Methodology; Sequential Quadratic Programming


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