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

Febe Francis, Abdulhameed Sabu, K. Madhavan Nampoothiri, Sumitra Ramachandran, Sanjoy Ghosh, George Szakacs, Ashok Pandey

Research output: Contribution to journalArticle

297 Citations (Scopus)

Abstract

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 α-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 α-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 × 107 spores/g dry substrate were the best conditions to produce α-amylase with A. oryzae NRRL 6270 on SBG. Under optimized conditions of SSF, about 20% increase in enzyme yield was observed.

Original languageEnglish
Pages (from-to)107-115
Number of pages9
JournalBiochemical Engineering Journal
Volume15
Issue number2
DOIs
Publication statusPublished - Aug 2003

Keywords

  • Aspergillus oryzae
  • Response surface methodology
  • Solid-state fermentation
  • Spent brewing grains
  • α-Amylase

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • Bioengineering
  • Biomedical Engineering

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