Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction

Authors : Derya DURSUN, Ali Çoşkun DALGIÇ

Pages : 366-373

Doi:10.15832/ankutbd.456661

View : 25 | Download : 10

Publication Date : 2018-09-05

Article Type : Research Paper

Abstract :Modeling and optimization of high value-added astaxanthin pigment bioproduction statistically by Sporidiobolus salmonicolor ATCC 24259 from two substantial wastes, rice bran insert ignore into journalissuearticles values(RB); and apple pomace insert ignore into journalissuearticles values(AP); was aimed in this study. The experimental data was obtained at constant inoculum rate insert ignore into journalissuearticles values(2%); and particle size insert ignore into journalissuearticles values(0.85 mm); for both wastes by conducting 17 runs, which were generated by Box-Behnken design. 33.41 µg astaxanthin gRB- and 77.31 µg astaxanthin gAP- were produced as the maximum amount at the end of fermentation period, 10 days. Apple pomace was concluded as the optimized waste for the production of astaxanthin based upon the highest yield. Predicted response results of response surface methodology insert ignore into journalissuearticles values(RSM); and radial basis function-neural network insert ignore into journalissuearticles values(RBF-NN); were compared in order to evaluate the accuracy of two methodologies on non-linear behavior of the astaxanthin bioproduction. RBF-NN became prominent with its well-suited to apple pomace fermentation system by resulting in quite low 0.8495, root mean square error insert ignore into journalissuearticles values(RMSE);, 0.3349, mean absolute error insert ignore into journalissuearticles values(MAE);, and 0.9985, correlation coefficient insert ignore into journalissuearticles values(CC); as best measures of a model performance. 
Keywords : Apple pomace, Rice bran, Astaxanthin, Radial basis function neural network