ISSN : 0975-9492


Open Access

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Title : ANN-GA hybrid methodology based optimization study for microbial production of CoQ10
Authors : Shruti Bajpai, Shalini Singh, Rupika Sinha, Pradeep Srivastava
Keywords : CoQ10; Process optimization; Response surface methodology; ANN-GA; Fermentation.
Issue Date : January 2015
Abstract :
Ubiquinone-10 also known as CoQ10 is a potent antioxidant which is found at membrane-bound electron transport system and has a wide range of therapeutic use.
Purpose: The purpose of this study was to implement fermentation process optimization for production of CoQ10 by using Pseudomonas diminuta NCIM 2865.
Methods: Significant medium components with respect to CoQ10 production were identified using Plackett-Burman design wherein their interaction was studied using response surface methodology (RSM). CoQ10 production increased considerably from 10.8 to 18.57 mg/l when fermentation was carried out in RSM optimised medium. Further, production of CoQ10 was increased by using the predictive results of ANN-GA (artificial neural network and genetic algorithm) hybrid method.
Results and Conclusions: This increased the yield of CoQ10 18.57 to 27.9 mg/l. The experimental study using ANN-GA based optimized medium condition in the presence of carrot juice as precursor for the CoQ10 production reported as yield of 34.4 mg/l, quite high compared to the earlier studies.
Page(s) : 100-108
ISSN : 0975-9492
Source : Vol. 6, No.1