%0 Journal Article
%@ 0133-0276
%A Patnaik, P R
%D 1997
%F open:765
%J Hungarian Journal of Industrial Chemistry
%K ESCHERICHIA-COLI; NEURAL-NETWORK; MICROORGANISMS; BIOREACTOR; CULTURE  
%N 4
%P 261-264
%T Principal component analysis of the effect of in-flow disturbances on recombinant beta-gaglactosidase fermentation
%U http://crdd.osdd.net/open/765/
%V 25
%X 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.