Show simple item record Linda M. en_US B. en_US S. en_US P. en_US S. A. en_US L. en_US 2009-11-24T17:15:27Z 2009-11-24T17:15:27Z 2001-09-05 en_US
dc.identifier en_US
dc.identifier.citation Harvey , L M , McNeil , B , Vaidyanathan , S , Mohan , P , Arnold , S A & Matheson , L 2001 , ' Assessment of near-infrared spectral information for rapid monitoring of bioprocess quality ' Biotechnology and Bioengineering , vol 74 , no. 5 , pp. 376-388 . , 10.1002/bit.1128 en_US
dc.identifier.other PURE: 129946 en_US
dc.identifier.other dspace: 2160/3589 en_US
dc.description.abstract Access to real-time process information is desirable for consistent and efficient operation of bioprocesses. Near-infrared spectroscopy (NIRS) is known to have potential for providing real-time information on the quantitative levels of important bioprocess variables. However, given the fact that a typical NIR spectrum encompasses information regarding almost all the constituents of the sample matrix, there are few case studies that have investigated the spectral details for applications in bioprocess quality assessment or qualitative bioprocess monitoring. Such information would be invaluable in providing operator-level assistance on the progress of a bioprocess in industrial-scale productions. We investigated this aspect and report the results of our investigation. Near-infrared spectral information derived from scanning unprocessed culture fluid (broth) samples from a complex antibiotic production process was assessed for a data set that incorporated bioprocess variations. Principal component analysis was applied to the spectral data and the loadings and scores of the principal components studied. Changes in the spectral information that corresponded to variations in the bioprocess could be deciphered. Despite the complexity of the matrix, near-infrared spectra of the culture broth are shown to have valuable information that can be deconvoluted with the help of factor analysis techniques such as principal component analysis (PCA). Although complex to interpret, the loadings and score plots are shown to offer potential in process diagnosis that could be of value in the rapid assessment of process quality, and in data assessment prior to quantitative model development. en_US
dc.format.extent 13 en_US
dc.relation.ispartof Biotechnology and Bioengineering en_US
dc.subject Streptomyces fradiae en_US
dc.subject antibiotic en_US
dc.subject fermentation en_US
dc.subject spectroscopy en_US
dc.subject multivariate analysis en_US
dc.title Assessment of near-infrared spectral information for rapid monitoring of bioprocess quality en_US
dc.contributor.pbl Aberystwyth University en_US
dc.contributor.pbl Institute of Biological, Environmental and Rural Sciences en_US

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