Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network

• Published in: Renewable energy Vol. 74; pp. 87 - 94
• Main Authors: Betiku, Eriola, Taiwo, Abiola Ezekiel
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2015
• Subjects: Artificial neural network; Bioethanol; Breadfruit; Fermentation; Learning theory; Mathematical models; Neural networks; Optimization; Response surface methodology; Starches; Volume fraction; Yeast; Bioethanol; Yeast; Response surface methodology; Artificial neural network; Optimization; Breadfruit

This study investigated the use of Breadfruit Starch Hydrolysate (BFSH) as the sole carbon source for bioethanol production and the optimization of the fermentation parameters. The results showed that the yeast was able to utilize the BFSH with and without nutrient supplements, with highest bioethan...