Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology

Aims:  This study demonstrated the optimum growth of Bifidobacterium pseudocatenulatum G4 with prebiotics via statistical model.Methods and Results:  Commercial prebiotics [inulin and fructooligosaccharide (FOS)], together with sorbitol, arabinan and inoculum rate, were tested by fractional factoria...

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Main Authors: Mustafa, Shuhaimi, B.M., Kabeir, Abd. Manap, Mohd. Yazid, Abdullah, Muhammad Nazrul Hakim
Format: Article
Language:English
English
Published: Wiley Blackwell 2009
Online Access:http://psasir.upm.edu.my/id/eprint/16917/1/Synbiotics%20growth%20optimization%20of%20Bifidobacterium%20pseudocatenulatum%20G4%20with%20prebiotics%20using%20a%20statistical%20methodology.pdf
http://psasir.upm.edu.my/id/eprint/16917/
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spelling my.upm.eprints.169172015-10-23T01:54:36Z http://psasir.upm.edu.my/id/eprint/16917/ Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology Mustafa, Shuhaimi B.M., Kabeir Abd. Manap, Mohd. Yazid Abdullah, Muhammad Nazrul Hakim Aims:  This study demonstrated the optimum growth of Bifidobacterium pseudocatenulatum G4 with prebiotics via statistical model.Methods and Results:  Commercial prebiotics [inulin and fructooligosaccharide (FOS)], together with sorbitol, arabinan and inoculum rate, were tested by fractional factorial design to determine their impact on growth of Bif. pseudocatenulatum G4 in skim milk. At 48 h incubation, bacterial growth was mainly influenced by FOS and inoculum rate. Growth reduction was observed in all samples incubated for 72 h. Central composite design (CCD) was adopted using FOS and inoculum rate at 48 h incubation to develop the statistical model for optimization. The model predicted that 2·461 log CFU ml−1 produced the optimum growth increase of Bif. pseudocatenulatum G4. The combination that produced the optimum point was 2·86% FOS (g/v) and 0·67% inoculum rate (v/v).Conclusion:  At optimum combination of inoculum rate and FOS, validation experiments recorded 2·40 ± 10·02 log CFU ml−1. The application in 1-l bioreactor for 24 h showed higher growth increase of 2·95 log CFU ml−1.Significant and Impact of the Study:  Response surface methodology approach is useful to develop optimum synbiotics combination for strain G4 with FOS. Wiley Blackwell 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16917/1/Synbiotics%20growth%20optimization%20of%20Bifidobacterium%20pseudocatenulatum%20G4%20with%20prebiotics%20using%20a%20statistical%20methodology.pdf Mustafa, Shuhaimi and B.M., Kabeir and Abd. Manap, Mohd. Yazid and Abdullah, Muhammad Nazrul Hakim (2009) Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology. Journal of Applied Microbiology, 106 (1). pp. 191-198. ISSN 1364-5072 10.1111/j.1365-2672.2008.03991.x English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Aims:  This study demonstrated the optimum growth of Bifidobacterium pseudocatenulatum G4 with prebiotics via statistical model.Methods and Results:  Commercial prebiotics [inulin and fructooligosaccharide (FOS)], together with sorbitol, arabinan and inoculum rate, were tested by fractional factorial design to determine their impact on growth of Bif. pseudocatenulatum G4 in skim milk. At 48 h incubation, bacterial growth was mainly influenced by FOS and inoculum rate. Growth reduction was observed in all samples incubated for 72 h. Central composite design (CCD) was adopted using FOS and inoculum rate at 48 h incubation to develop the statistical model for optimization. The model predicted that 2·461 log CFU ml−1 produced the optimum growth increase of Bif. pseudocatenulatum G4. The combination that produced the optimum point was 2·86% FOS (g/v) and 0·67% inoculum rate (v/v).Conclusion:  At optimum combination of inoculum rate and FOS, validation experiments recorded 2·40 ± 10·02 log CFU ml−1. The application in 1-l bioreactor for 24 h showed higher growth increase of 2·95 log CFU ml−1.Significant and Impact of the Study:  Response surface methodology approach is useful to develop optimum synbiotics combination for strain G4 with FOS.
format Article
author Mustafa, Shuhaimi
B.M., Kabeir
Abd. Manap, Mohd. Yazid
Abdullah, Muhammad Nazrul Hakim
spellingShingle Mustafa, Shuhaimi
B.M., Kabeir
Abd. Manap, Mohd. Yazid
Abdullah, Muhammad Nazrul Hakim
Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
author_facet Mustafa, Shuhaimi
B.M., Kabeir
Abd. Manap, Mohd. Yazid
Abdullah, Muhammad Nazrul Hakim
author_sort Mustafa, Shuhaimi
title Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
title_short Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
title_full Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
title_fullStr Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
title_full_unstemmed Synbiotics growth optimization of Bifidobacterium pseudocatenulatum G4 with prebiotics using a statistical methodology
title_sort synbiotics growth optimization of bifidobacterium pseudocatenulatum g4 with prebiotics using a statistical methodology
publisher Wiley Blackwell
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/16917/1/Synbiotics%20growth%20optimization%20of%20Bifidobacterium%20pseudocatenulatum%20G4%20with%20prebiotics%20using%20a%20statistical%20methodology.pdf
http://psasir.upm.edu.my/id/eprint/16917/
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