African Journal of Biotechnology Vol. 6 (1), pp. 041-046, 4 January 2007   

ISSN 1684–5315 © 2007 Academic Journals        

Full Length Research Paper

Optimization and modeling of cellulase protein from Trichoderma reesei Rut C30 using mixed substrate

Muthuvelayudham, R.* and Viruthagiri, T.

Department of Chemical Engineering, Annamalai University, Annamalainagar-608002, India.

*Corresponding Authors E-mail: muthupriya_03@yahoo.com. Tel: 04144-239737. Fax: 04144-238275.

Accepted 6 December, 2006

Bioethanol from cellulosic raw material has proved to be the best alternative renewable energy source. Cellulase is a multienzyme complex catalyses the bioconversion of cellulose to glucose, which can be used for ethanol production. The objective of this research is to reduce the cost of cellulase production by optimization of fermentation conditions and modeling of the fermentation process. Research surface methodology was suggested for optimization of process conditions of cellulase biosynthesis. Logistic kinetic model was the best model for the mixed substrates. A conceptual Artificial Neural Network (ANN) model was well incorporated in the fermentative production of cellulase. By adopting these models high yield of cellulase was obtained.

Keywords: Cellulose, Lactose, Cellulase, Optimization, Modeling, Response surface methodology, Logistic model, Artificial Neural Network