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Article: Optimization of cholesterol removal by probiotics in the presence of prebiotics by using a response surface method

TitleOptimization of cholesterol removal by probiotics in the presence of prebiotics by using a response surface method
Authors
KeywordsChemicals And Cas Registry Numbers
Issue Date2005
PublisherAmerican Society for Microbiology
Citation
Applied And Environmental Microbiology, 2005, v. 71 n. 4, p. 1745-1753 How to Cite?
AbstractLactobacillus casei ASCC 292 was grown in the presence of six prebiotics, namely, sorbitol, mannitol, maltodextrin, high-amylose maize, fructooligosaccharide (FOS), and inulin, in order to determine the combination of probiotic and prebiotics that would remove the highest level of cholesterol. A first-order model showed that the combination of L. casei ASCC 292, FOS, and maltodextrin was the most efficient for the removal of cholesterol, and the optimum experimental region was developed by using the steepest ascent. This led to the middle points of probiotic (1.70% [wt/vol]), FOS (4.80% [wt/vol]), and maltodextrin (6.80% [wt/vol]) for the development of a central composite design for optimization. Perturbation plot, response surface, and coefficient estimates showed that all three factors had significant quadratic effects on cholesterol removal, with FOS showing the most conspicuous quadratic change. A second-order polynomial regression model estimated that the optimum condition of the factors for cholesterol removal by L. casei ASCC 292 is 1.71% (wt/vol) probiotic, 4.95% (wt/vol) FOS, and 6.62% (wt/vol) maltodextrin. Validation experiments showed that the predicted optimum conditions were more efficient than the high and low levels of the factors and the center points. A response surface method proved reliable for developing the model, optimizing factors, and analyzing interaction effects. Analyses of growth, substrate utilization, growth yield, mean doubling time, and short-chain fatty acid (SCFA) production by the use of quadratic models indicated that cholesterol removal was growth associated. The concentration of L. casei ASCC 292 had the most significant quadratic effect on all responses studied, except for substrate utilization and SCFA production, which were significantly (P < 0.05) influenced by the interactions between the probiotic and both prebiotics, indicating that they were closely associated with the uptake of prebiotics. Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Persistent Identifierhttp://hdl.handle.net/10722/144453
ISSN
2015 Impact Factor: 3.823
2015 SCImago Journal Rankings: 1.891
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiong, MTen_HK
dc.contributor.authorShah, NPen_HK
dc.date.accessioned2012-01-20T09:02:09Z-
dc.date.available2012-01-20T09:02:09Z-
dc.date.issued2005en_HK
dc.identifier.citationApplied And Environmental Microbiology, 2005, v. 71 n. 4, p. 1745-1753en_HK
dc.identifier.issn0099-2240en_HK
dc.identifier.urihttp://hdl.handle.net/10722/144453-
dc.description.abstractLactobacillus casei ASCC 292 was grown in the presence of six prebiotics, namely, sorbitol, mannitol, maltodextrin, high-amylose maize, fructooligosaccharide (FOS), and inulin, in order to determine the combination of probiotic and prebiotics that would remove the highest level of cholesterol. A first-order model showed that the combination of L. casei ASCC 292, FOS, and maltodextrin was the most efficient for the removal of cholesterol, and the optimum experimental region was developed by using the steepest ascent. This led to the middle points of probiotic (1.70% [wt/vol]), FOS (4.80% [wt/vol]), and maltodextrin (6.80% [wt/vol]) for the development of a central composite design for optimization. Perturbation plot, response surface, and coefficient estimates showed that all three factors had significant quadratic effects on cholesterol removal, with FOS showing the most conspicuous quadratic change. A second-order polynomial regression model estimated that the optimum condition of the factors for cholesterol removal by L. casei ASCC 292 is 1.71% (wt/vol) probiotic, 4.95% (wt/vol) FOS, and 6.62% (wt/vol) maltodextrin. Validation experiments showed that the predicted optimum conditions were more efficient than the high and low levels of the factors and the center points. A response surface method proved reliable for developing the model, optimizing factors, and analyzing interaction effects. Analyses of growth, substrate utilization, growth yield, mean doubling time, and short-chain fatty acid (SCFA) production by the use of quadratic models indicated that cholesterol removal was growth associated. The concentration of L. casei ASCC 292 had the most significant quadratic effect on all responses studied, except for substrate utilization and SCFA production, which were significantly (P < 0.05) influenced by the interactions between the probiotic and both prebiotics, indicating that they were closely associated with the uptake of prebiotics. Copyright © 2005, American Society for Microbiology. All Rights Reserved.en_HK
dc.languageengen_US
dc.publisherAmerican Society for Microbiologyen_US
dc.relation.ispartofApplied and Environmental Microbiologyen_HK
dc.subjectChemicals And Cas Registry Numbersen_US
dc.titleOptimization of cholesterol removal by probiotics in the presence of prebiotics by using a response surface methoden_HK
dc.typeArticleen_HK
dc.identifier.emailShah, NP: npshah@hku.hken_HK
dc.identifier.authorityShah, NP=rp01571en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1128/AEM.71.4.1745-1753.2005en_HK
dc.identifier.pmid15811997-
dc.identifier.pmcidPMC1082510-
dc.identifier.scopuseid_2-s2.0-17444415023en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-17444415023&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume71en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1745en_HK
dc.identifier.epage1753en_HK
dc.identifier.isiWOS:000228338000009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLiong, MT=22035883200en_HK
dc.identifier.scopusauthoridShah, NP=7401823907en_HK

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