Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network-Reference-Cited by-同舟云学术

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

Published:2015-02 Issue: Volume:74 Page:87-94
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Betiku Eriola^ORCID,Taiwo Abiola Ezekiel^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. Ethanol production from kitchen garbage by Zymomonas mobilis: optimization of parameters through statistical experimental designs;Ma;Chem Biochem Eng Q,2008

2. Modeling and optimization of Thevetia peruviana (yellow oleander) oil biodiesel synthesis via Musa paradisiacal (plantain) peels as heterogeneous base catalyst: a case of artificial neural network vs. response surface methodology;Betiku;Ind Crops Prod,2014

3. World conventional oil supply expected to peak in 21st century;Wood;Offshore,2003

4. Utilization of enzymes in agricultural product processing;Olsen,2001

5. Prospects for the utilization of the endogenous enzymes in sorghum malt in the hydrolysis of starch: case study with utilization of breadfruit starch for ethanol production;Solomon;Food Biotechnol,1994

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