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Fed-batch optimization of PHB synthesis through mechanistic, cybernetic and neural approaches

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Fed-batch optimization of PHB synthesis through mechanistic, cybernetic and neural approaches
 
Creator Patnaik, P R
 
Subject QR Microbiology
 
Description Despite its superiority over chemically synthesized petroleum-based polymers, poly-β-hydroxybutyrate (PHB) has been less successful commercially. A prime reason is the low productivity of microbial processes for PHB. High fermentation efficiency requires good modelling and optimization. Neither classical mechanistic models nor the recent cybernetic models have resulted in sufficiently high yields of PHB. So a neural network description has been proposed here. Relative to the other two approaches, neural optimization doubled the maximum PHB concentration in fed-batch fermentation with Ralstonia eutropha, the most commonly employed organism for PHB production, and it consumed less of the substrates. This advantage and their model-free nature make neural networks an attractive technique to enhance PHB productivity.
 
Publisher BAS, Institute of Biophysics and Biomedical Engineering
 
Date 2006
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/1007/1/patnaik2006.2.pdf
Patnaik, P R (2006) Fed-batch optimization of PHB synthesis through mechanistic, cybernetic and neural approaches. Bioautomation, 5. pp. 23-38. ISSN 1312 – 451X
 
Relation http://www.clbme.bas.bg/old_ba/5_1.3.pdf
http://crdd.osdd.net/open/1007/