creators_name: Patnaik, P R
type: article
datestamp: 2012-01-27 15:03:04
lastmod: 2015-01-12 04:24:27
metadata_visibility: show
title: Principal component analysis of the effect of in-flow disturbances on recombinant beta-gaglactosidase fermentation
ispublished: pub
subjects: TP
full_text_status: none
keywords: ESCHERICHIA-COLI; NEURAL-NETWORK; MICROORGANISMS; BIOREACTOR; CULTURE

abstract: Principal component analysis (PCA) has been applied to the fed-batch fermentative production of recombinant beta-galactosidase to analyse the effect of inflow disturbances. Although the full model has nine time-dependent variables, PCA shows that five are sufficient to provide a good description of bioreactor dynamics for bath smooth and disturbed operations. The variables identified are physically plausible, and the reduced model predicts the original data with 95 % accuracy.
date: 1997
date_type: published
publication: Hungarian Journal of Industrial Chemistry
volume: 25
number: 4
pagerange: 261-264
refereed: TRUE
issn: 0133-0276
citation:   Patnaik, P R  (1997) Principal component analysis of the effect of in-flow disturbances on recombinant beta-gaglactosidase fermentation.  Hungarian Journal of Industrial Chemistry, 25 (4).  pp. 261-264.  ISSN 0133-0276     
document_url: http://crdd.osdd.net/open/765/1/pat97%28s2%29.pdf