ISSN: 0973-7510

E-ISSN: 2581-690X

Nurul Wahida Shokhimi1, Khalilah Abdul Khalil1 , Shuhaimi Mustafa3, Farzini Yusha1, Mizanurfakhri Ghazali1, Mazatulikhma Mat Zain2 and Maslinda Musa1
1School of Biological Sciences, Faculty of Applied Sciences, Universiti Teknologi Mara, Shah Alam, 40450 Selangor, Malaysia.
2Institute of Science, Level 3, Block C 303 Universiti Teknologi MARA (UiTM) 40450 Shah Alam Selangor Malaysia.
3Halal Product Research Institute, Universiti Putra Malaysia, Putra Infoport 43400 Serdang Selangor, Malaysia.
J Pure Appl Microbiol. 2015;9(3):1797-1803
© The Author(s). 2015
Received: 03/03/2015 | Accepted: 15/05/2015 | Published: 30/09/2015
Abstract

Prior to adherence to Caco-2 cell, the strain has to be screened for their hydrophobicity and further autoagregation ability need to be studied. The aim of this study were to screen for hydrophobicity activity of Bifidobacterium pseudocatenulatum KAKii and to optimize the best pH and temperature conditions for better autoagregation using FCCD-response surface methodology approached. In this study, cell surface hydrophobicity test of Bifidobacterium pseudocatenulatum KAKii was carried out based on microbial adhesion to hydrocarbons (MATH) technique using three hydrocarbon solvents (hexadecane, xylene and toluene). Based on MATH test, the percentage of hydrophobicity (H %) obtained revealed that this local strain was able to manifest a good degree of hydrophobicity however, slightly lower than comparative strain. Further optimization of autoaggregation activity using FCCD-RSM was revealed that the optimum pH and time for strong autoaggregation activity of local probiotic B. pseudocatenulatum KAKii was between pH 6.5 and 7.0 at 4h of incubation time, respectively. As a conclusion, this study indicated that cell surface hydrophobicity and autoaggregation ability can be used for preliminary selection and identification of novel probiotic bacteria for further exploitation in food, pharmaceutical and medical industry.

Keywords

Bifidobacteria, Hydrophobicity, Autoaggregation, Optimization of time and ph, FCCD-RSM

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