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Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

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    Abstract - Issue Sep 2015, 36 (5)                                     Back

nstantaneous and historical temperature effects on a-pinene

Application of response surface methodology for optimising

caffeine-degrading parameters by Leifsonia sp. strain SIU


Salihu Ibrahim1,2, Mohd Yunus Shukor1, Khalilah Abdul Khalil3, Mohd Izuan Effendi Halmi1, Mohd Arif Syed1 and Siti Aqlima Ahmad1*

1Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

2Department of Biochemistry, Faculty of Biomedical Sciences, Bayero University, PMB 3011 Kano, Nigeria

3Biomolecular Science Program, School of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

*Corresponding Author E-mail :




Publication Data

Paper received:

17 June 2014


Revised received:

12 March 2015



20 March 2015



Caffeine is an important naturally occurring compound which can be degraded by bacteria. Previously, Leifsonia sp. strain SIU capable of degrading caffeine was isolated from agricultural soil.? Plackett?Burman design was used to screen significant parameters that affect the rate of caffeine degradation. After the design was applied, response surface methodology (RSM) through Central Composite Design (CCD) was used to study significant parameters further, in order to get the most superior degradation conditions. The optimum concentrations of carbon source (sucrose), nitrogen source (NH4Cl), pH and initial caffeine concentration was found to be 5.0 gl-1, 0.4 gl-1, 6.0 and 375 ppm respectively. Second order polynomial regression model accurately showed interpretation of experimental data with an R2 value of 0.9989, Adjusted (Adj) R2, Predicted (Pred) R2 and F values of 0.9939, 0.9225 and 88.77 respectively. ?   



 Key words

Caffeine degradation, Central composite design, Leifsonia sp., Plackett-Burman Design, Response surface methodology



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