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Optimization of β-glucosidase production by Aspergillus niger in solid-state fermentation using response surface methodology

Author: 
Ilyes Dammak, Sonia Khoufi and Sami Sayadi
Subject Area: 
Life Sciences
Abstract: 

Sequential optimization strategy, based on statistical experimental design, was employed to improve the production of β-glucosidase by Aspergillus niger ATCC 16404 using solid-state fermentation (SSF) technique. Different nitrogen sources were tested for A. niger culture using wheat bran as solid medium. The highest enzyme production per kg of dry substrate (DS) (1.65×105 U/kg DS) was obtained with soybean peptone. By using fractional factorial design, urea, calcium chloride, soybean peptone concentration and inoculum spore number were selected as parameter with high significant effect on β-glucosidase production. Optimum process conditions were evaluated by response surface methodology (RSM). In this respect, the Box-Behnken design was employed. The optimum conditions were found to be 0.095 kg/kg DS for urea, 0.025 kg/kg DS of calcium chloride, 0.119 kg/kg DS of soybean peptone and inoculum spore number of 8.5×1011 spore/kg DS to achieve a β-glucosidase production yield of about 2.87×105 U/kg DS after 7 days of SSF at temperature 30°C.

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