Development of probiotic microcapsules with calcium alginate and prebiotics using modern optimization techniques.

Chiou H. Y., . and Chen M. J., . and Lin C. W., . and Chen K. N., . (2004) Development of probiotic microcapsules with calcium alginate and prebiotics using modern optimization techniques. [Proceedings Paper]

The prebiotics peptides fructooligosaccharides isomaltooligosaccharides were incorporated with calcium alginate as wallmaterials to microencapsulate four probiotics Lactobacillus acidophilus L. casei Bifidobacterium bifidum and B. longum. The objectives were to optimize the encapsulation of the probiotics using a response surface methodology RSM sequential quadratic programming SQP and genetic algorithm GA to evaluate the survival of microencapsulated probiotics under simulated gastro-intestinal conditions and storage. The results showed that incorporation prebiotics with calcium alginate as wall materials could improve the survivability of probiotics during encapsulation simulated gastro-intestinal conditions and storage. The current study also suggested that the two-stage effort of obtaining a surface model using RSM and optimizing this model using SQP and GA techniques was shown to be an effective approach. The SQP and GA all produced the optimal conditions with the SQP being the most efficient.

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Abstract

The prebiotics peptides fructooligosaccharides isomaltooligosaccharides were incorporated with calcium alginate as wallmaterials to microencapsulate four probiotics Lactobacillus acidophilus L. casei Bifidobacterium bifidum and B. longum. The objectives were to optimize the encapsulation of the probiotics using a response surface methodology RSM sequential quadratic programming SQP and genetic algorithm GA to evaluate the survival of microencapsulated probiotics under simulated gastro-intestinal conditions and storage. The results showed that incorporation prebiotics with calcium alginate as wall materials could improve the survivability of probiotics during encapsulation simulated gastro-intestinal conditions and storage. The current study also suggested that the two-stage effort of obtaining a surface model using RSM and optimizing this model using SQP and GA techniques was shown to be an effective approach. The SQP and GA all produced the optimal conditions with the SQP being the most efficient.

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Item Type:	Proceedings Paper
Additional Information:	Summary En
AGROVOC Term:	PROBIOTICS
AGROVOC Term:	ANIMAL GROWTH PROMOTERS
AGROVOC Term:	DISEASE CONTROL
AGROVOC Term:	FEED ADDITIVES
AGROVOC Term:	MICROBIAL FLORA
AGROVOC Term:	MICROENCAPSULATION
AGROVOC Term:	CONTROLLED RELEASE
AGROVOC Term:	FORMULATIONS
AGROVOC Term:	SLOW RELEASE FERTILIZERS
AGROVOC Term:	ASIA
Geographical Term:	MALAYSIA
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:27
URI:	http://webagris.upm.edu.my/id/eprint/16555

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