NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Chemical Technology (IJCT) >
IJCT Vol.15 [2008] >
IJCT Vol.15(1) [January 2008] >

Title: Application of ANN for prediction of cellulase and xylanase production by Trichoderma reesei under SSF condition
Authors: Singh, Aruna
Tatewar, Divya
Shastri, P N
Pandharipande, S L
Keywords: Solid state fermentation
Artificial neural network
Enzyme activity
Water binding capacity
Issue Date: Jan-2008
Publisher: CSIR
Abstract: Solid state fermentation is a bioconversion process that involves treatment of biodegradable solid substrate with microorganisms. This technique is widely applied for biotransformation of agricultural waste into industrial enzymes, organic solvents and other biochemicals. It is characterized by the presence of moisture, sufficient to solubilize the nutrients, but avoids leaching and operates at water activity (aw) of 0.85. On account of difference in water binding capacity of different substrates, optimum moisture level needs to be established for various combination of substrates, which involves extensive laborious experimental work. Present investigations were carried out to study the application of Artificial Neural Network as a tool for predicting cellulase and xylanase production by Trichoderma reesei as a function of bagasse content and moisture level in comparison to wheat bran medium. A correlation coefficient > 0.8 and root mean square error < 0.4 indicates ANN as a good prediction tool for such complex biological process.
Page(s): 53-58
ISSN: 0971–457X
Source:IJCT Vol.15(1) [January 2008]

Files in This Item:

File Description SizeFormat
IJCT 15(1) (2008) 53-58.pdf356.13 kBAdobe PDFView/Open
 Current Page Visits: 880 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 172324 since 01-Sep-2015  Last updated on 30-Jun-2016Webmaster: