creators_name: Patnaik, Pratap R
type: article
datestamp: 2011-12-08 19:36:49
lastmod: 2011-12-08 19:36:49
metadata_visibility: show
title: Cognitive optimization of microbial PHB production in an optimally dispersed bioreactor by single and mixed cultures.
ispublished: pub
subjects: QH301
full_text_status: none
note: Copyright of this article belongs to Springer Science
abstract: Cognitive (or intelligent) models are often superior to mechanistic models for nonideal bioreactors. Two kinds of cognitive models--cybernetic and neural--were applied recently to fed-batch fermentation by Ralstonia eutropha in a bioreactor with optimum finite dispersion. In the present work, these models have been applied in simulation studies of co-cultures of R. eutropha and Lactobacillus delbrueckii. The results for both cognitive and mechanistic models have been compared with single cultures. Neural models were the most effective for both types of cultures and mechanistic models the least effective. Simulations with co-culture fermentations predicted more PHB than single cultures with all three types of models. Significantly, the predicted enhancements in PHB concentration by cognitive methods for mixed cultures were four to five times larger than the corresponding increases in biomass concentration. Further improvements are possible through a hybrid combination of all three types of models.
date: 2009-06
date_type: published
publication: Bioprocess and biosystems engineering
volume: 32
number: 4
publisher: Springer Science
pagerange: 557-68
refereed: TRUE
issn: 1615-7605
official_url: http://www.springerlink.com/content/94r832m234112004/fulltext.pdf
related_url_url: http://www.springerlink.com/content/94r832m234112004/fulltext.pdf
related_url_type: pub
citation:   Patnaik, Pratap R  (2009) Cognitive optimization of microbial PHB production in an optimally dispersed bioreactor by single and mixed cultures.  Bioprocess and biosystems engineering, 32 (4).  pp. 557-68.  ISSN 1615-7605