creators_name: Patnaik, Pratap R
type: article
datestamp: 2012-01-05 15:14:54
lastmod: 2012-01-05 15:14:54
metadata_visibility: show
title: Can imperfections help to improve bioreactor performance?
ispublished: pub
subjects: QR
full_text_status: restricted
note: Copyright of this article belongs to Elsevier Science.
abstract: Pilot-scale and larger bioreactors differ from small laboratory-scale reactors in terms of a greater occurrence of noise and incomplete mixing of the broth. Conventional control tries to induce good mixing and to filter out the noise as completely as possible. As such an 'ideal' operation is difficult to achieve, recent work has tried to exploit the non-ideal features to improve the performance. Using artificial neural networks, the degree of mixing, the extent of filtering of noise and the distribution of plasmid copy number (in a recombinant fermentation) can be controlled effectively on-line. This strategy generates better productivities than well-mixed noise-free operations, which suggests that deviations from ideal behaviour should be gainfully harnessed and not suppressed.
date: 2002-04
date_type: published
publication: Trends in biotechnology
volume: 20
number: 4
publisher: Elsevier Science
pagerange: 135-7
refereed: TRUE
issn: 0167-7799
official_url: http://www.sciencedirect.com/science/article/pii/S0167779901019229
related_url_url: http://www.sciencedirect.com/science/article/pii/S0167779901019229 
related_url_type: pub
citation:   Patnaik, Pratap R  (2002) Can imperfections help to improve bioreactor performance?  Trends in biotechnology, 20 (4).  pp. 135-7.  ISSN 0167-7799     
document_url: http://crdd.osdd.net/open/274/1/patnaik2002.pdf