Document Detail


Real encoded genetic algorithm and response surface methodology to optimize production of an indolizidine alkaloid, swainsonine, from Metarhizium anisopliae.
MedLine Citation:
PMID:  23315485     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Response surface methodology (RSM) and artificial neural network-real encoded genetic algorithm (ANN-REGA) were employed to develop a process for fermentative swainsonine production from Metarhizium anisopliae (ARSEF 1724). The effect of finally screened process variables viz. inoculum size, oatmeal extract, glucose, and CaCl(2) were investigated through central composite design and were further utilized for training sets in ANN with training and test R values of 0.99 and 0.94, respectively. ANN-REGA was finally employed to simulate the predictive swainsonine production with best evolved media composition. ANN-REGA predicted a more precise fermentation model with 103 % (shake flask) increase in alkaloid production compared to 75.62 % (shake flask) obtained with RSM model upon validation.
Authors:
Digar Singh; Gurvinder Kaur
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-12
Journal Detail:
Title:  Folia microbiologica     Volume:  -     ISSN:  1874-9356     ISO Abbreviation:  Folia Microbiol. (Praha)     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0376757     Medline TA:  Folia Microbiol (Praha)     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Biotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.
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