Use of response surface methodology for optimizing process parameters for the production of α-amylase by Aspergillus oryzae

✍ Scribed by Febe Francis; Abdulhameed Sabu; K.Madhavan Nampoothiri; Sumitra Ramachandran; Sanjoy Ghosh; George Szakacs; Ashok Pandey

• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 577 KB
• Volume: 15
• Category: Article
• ISSN: 1369-703X
• DOI: 10.1016/s1369-703x(02)00192-4

✦ Synopsis

Optimization of three parameters (incubation temperature, initial substrate moisture and inoculum size) was attempted by using a Box-Behnken design under the response surface methodology for the optimal production of ␣-amylase by Aspergillus oryzae NRRL 6270 in solid-state fermentation (SSF). Spent brewing grains (SBG) was used as sole carbon source. The experimental data was fitted into a polynomial model for the yield of enzyme and an optimum level was arrived at which nutrient supplements were optimized. A Plackett-Burman design was employed to screen nineteen nutrient components for their influence on ␣-amylase production by the fungal culture. Three components (soybean meal, calcium chloride and magnesium sulphate) were selected based on their positive influence on enzyme formation. A Box-Behnken design was employed to optimize their composition, which showed that an incubation temperature of 30 • C, an initial moisture of 70% and an inoculum rate of 1 × 10 7 spores/g dry substrate were the best conditions to produce ␣-amylase with A. oryzae NRRL 6270 on SBG. Under optimized conditions of SSF, about 20% increase in enzyme yield was observed.