alexa Statistical Optimization of Kojic Acid Production through Response Surface Methodology by Aspergillus Flavus using Sago Starch Hydrolysate as a Carbon Source


Fermentation Technology

Author(s): Veerendra Kumar Bapatla

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Optimization of process conditions to achieve maximum yield of kojic acid was carried out with a soil isolated fungal culture Aspergillus flavus. Five physicochemical factors which significantly influence the production were screened using a non-statistical One-factor-at-a-time method (OFAT) and later statistical Central Composite Design (CCD) and Response surface methodology (RSM) were performed for designing of the experiment, analysis of results to study the interaction among the parameters. The maximum production of 82.6g/L of kojic acid was noticed at optimized conditions of Carbon source concentration i.e., starch hydrolysate of Sago starch 100ml, Peptone concentration 4g/L, KH2PO4 concentration 1g/L, MgSO4 concentration 0.5g/L, pH 6.0, Time 28d and Temperature 280C with OFAT method whereas the production yield was enhanced significantly to 90.8g/L with response surface methodology. It was estimated from the model that the determination coefficient was (R2 =0.9561) represented that 95.61% of the variability in the response could be interpreted by the model and the results showed an excellent adequacy of the multiple-regression model. During the last phase of the kojic acid fermentation, the entire fermented broth was subjected to evaporation followed by crystallization and the purity of the crystal was confirmed by X-ray crystallography

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This article was published in Asian Journal of Applied Sciences and referenced in Fermentation Technology

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