Evolutionary operation-factorial design technique for optimization of conversion of mixed agroproducts into gallic acid |
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Authors: | Gargi Mukherjee Rintu Banerjee |
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Institution: | (1) Department of Agriculture and Food Engineering, Indian Institute of Technology, Microbial Biotechnology and Downstream Processing Laboratory, 721302 Kharagpur, West Bengal, India |
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Abstract: | This article presents the optimization of gallic acid production using filamentous fungi from tannin-rich mixed substrates
taking into account the interaction effects of six variable process parameters. The methodology adopted for optimization was
the evolutionary operation (EVOP)-factorial design technique. This technique combines the factorial method for designing experiments
with the EVOP methodology for analyzing the experimental results systematically and arriving at conclusions according to its
decision-making procedure. Standard deviation and error limits based on 95% confidence were calculated according to the relationship
given in the literature. It was found that the best combinations of the process parameters at the optimum levels were 30°C,
80% relative humidity, pH 5.0, 48-h incubation period, 3 mL of induced inoculum, and 35 g of mixed substrate, resulting in
a gallic acid yield of 94.8% under modified solid-state fermentation. |
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Keywords: | Mixed substrates modified solid-state fermentation optimization evolutionary operation-factorial design filamentous fungi gallic acid |
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