Application of Response Surface Methodology for Optimizing Process Parameters in the Production of Amylase by Aspergillus flavusNSH9 under Solid State Fermentation

Siti Ratina, Mustafa and Ahmad, Husaini and Cirilo Nolasco, Hipolito and Hasnain, Hussain and Nurshikin, Suhaili and Hairul Azman, Roslan (2016) Application of Response Surface Methodology for Optimizing Process Parameters in the Production of Amylase by Aspergillus flavusNSH9 under Solid State Fermentation. Biological and Applied Sciences, 59. pp. 1-10. ISSN 1678-4324

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Abstract

Amylase is recognized as one of the important commercial enzymes. This group of enzymes has the ability in hydrolyzing starch into smaller oligosacharides. The present work aimed to determine the optimum fermentation conditions for maximum production of crude amylase enzyme by Aspergillus flavus NSH9 employing response surface methodology (RSM).Central composite design (CCD) was applied to determine the optimal fermentation condition with respect to the four main process parameters such as temperature, initial moisture content, pH and the incubation period. Solid state fermentation (SSF) was performed using 5.0 g of sago hampas inoculated with 1x107sporesmL-1following the experimental design obtained using CCD and further optimized by RSM. The initial moisture, pH and temperature showed significant effect on the amylase production (p<0.05). The maximum amylase activity produced was achieved and recorded as 1.055 ± 0.03U mL-1after four days of fermentation period with 100% (v/v) moisture holding capacity, pH 6.5 and temperature at 28°C. The optimum fermentation conditions for amylase production was determined with A. flavusNSH9 on sago hampas.

Item Type: Article
Uncontrolled Keywords: Solid state fermentation, Aspergillus flavusNSH9, Sago hampas, Central Composite Design, Response Surface Methodology,unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
S Agriculture > S Agriculture (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Resource Science and Technology
Depositing User: Ibrahim
Date Deposited: 25 Sep 2016 20:10
Last Modified: 25 Sep 2016 20:10
URI: http://ir.unimas.my/id/eprint/13583

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