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
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Additional Information: | Copyright of this article belongs to Springer Science |
| Subjects: | Q Science > QH Natural history > QH301 Biology QH301 Biology |
| Depositing User: | Dr. K.P.S.Sengar |
| Date Deposited: | 08 Dec 2011 19:36 |
| Last Modified: | 08 Dec 2011 19:36 |
| URI: | http://crdd.osdd.net/open/id/eprint/575 |
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