On-line monitoring of recombinant bacterial cultures using multi-wavelength fluorescence spectroscopy

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Garima Jain
  • Guhan Jayaraman
  • Öznur Kökpinar
  • Ursula Rinas
  • Bernd Hitzmann

Organisationseinheiten

Externe Organisationen

  • Indian Institute of Technology Madras (IITM)
  • Helmholtz-Zentrum für Infektionsforschung GmbH (HZI)
  • Universität Hohenheim
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)133-139
Seitenumfang7
FachzeitschriftBiochemical engineering journal
Jahrgang58-59
Ausgabenummer1
Frühes Online-Datum10 Sept. 2011
PublikationsstatusVeröffentlicht - 15 Dez. 2011

Abstract

Multi-wavelength fluorescence spectroscopy was evaluated as a tool for on-line monitoring of recombinant Escherichia coli cultivations expressing human basic fibroblast growth factor (hFGF-2). The data sets for the various combinations of the excitation and emission spectra from batch cultivations were analyzed using principal component analysis. Chemometric models (the partial least squares method) were developed for correlating the fluorescence data and the experimentally measured variables such as the biomass and glucose concentrations as well as the carbon dioxide production rate. Excellent correlations were obtained for these variables for the calibration cultivations. The predictability of these models was further tested in batch and fed-batch cultivations. The batch cultivations were well predicted by the PLS models for biomass, glucose concentrations and carbon dioxide production rate (RMSEPs were respectively 5%, 7%, 9%). However, when tested for biomass concentrations in fed-batch cultivations (with final biomass three times higher than the highest calibration data) the models had good predictability at high growth rates (RMSEPs were 3% and 4%, respectively for uninduced and induced fed-batch cultivations), which was as good as for the batch cultivations used for developing the models (RMSEPs were 3% and 5%, respectively for uninduced and induced batch cultivations). The fed-batch cultivations performed at low growth rates exhibited much higher fluorescence for fluorophores such as flavin and NAD(P)H as compared to fed-batch cultivations at high growth rate. Therefore, the PLS models tended to over-predict the biomass concentrations at low growth rates. Obviously the cells changed their concentration of biogenic fluorophores depending on the growth rate. Although multi-wavelength fluorescence spectroscopy is a valuable tool for on-line monitoring of bioprocess, care must be taken to re-calibrate the PLS models at different growth rates to improve the accuracy of predictions.

ASJC Scopus Sachgebiete

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On-line monitoring of recombinant bacterial cultures using multi-wavelength fluorescence spectroscopy. / Jain, Garima; Jayaraman, Guhan; Kökpinar, Öznur et al.
in: Biochemical engineering journal, Jahrgang 58-59, Nr. 1, 15.12.2011, S. 133-139.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Jain G, Jayaraman G, Kökpinar Ö, Rinas U, Hitzmann B. On-line monitoring of recombinant bacterial cultures using multi-wavelength fluorescence spectroscopy. Biochemical engineering journal. 2011 Dez 15;58-59(1):133-139. Epub 2011 Sep 10. doi: 10.1016/j.bej.2011.09.005
Jain, Garima ; Jayaraman, Guhan ; Kökpinar, Öznur et al. / On-line monitoring of recombinant bacterial cultures using multi-wavelength fluorescence spectroscopy. in: Biochemical engineering journal. 2011 ; Jahrgang 58-59, Nr. 1. S. 133-139.
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abstract = "Multi-wavelength fluorescence spectroscopy was evaluated as a tool for on-line monitoring of recombinant Escherichia coli cultivations expressing human basic fibroblast growth factor (hFGF-2). The data sets for the various combinations of the excitation and emission spectra from batch cultivations were analyzed using principal component analysis. Chemometric models (the partial least squares method) were developed for correlating the fluorescence data and the experimentally measured variables such as the biomass and glucose concentrations as well as the carbon dioxide production rate. Excellent correlations were obtained for these variables for the calibration cultivations. The predictability of these models was further tested in batch and fed-batch cultivations. The batch cultivations were well predicted by the PLS models for biomass, glucose concentrations and carbon dioxide production rate (RMSEPs were respectively 5%, 7%, 9%). However, when tested for biomass concentrations in fed-batch cultivations (with final biomass three times higher than the highest calibration data) the models had good predictability at high growth rates (RMSEPs were 3% and 4%, respectively for uninduced and induced fed-batch cultivations), which was as good as for the batch cultivations used for developing the models (RMSEPs were 3% and 5%, respectively for uninduced and induced batch cultivations). The fed-batch cultivations performed at low growth rates exhibited much higher fluorescence for fluorophores such as flavin and NAD(P)H as compared to fed-batch cultivations at high growth rate. Therefore, the PLS models tended to over-predict the biomass concentrations at low growth rates. Obviously the cells changed their concentration of biogenic fluorophores depending on the growth rate. Although multi-wavelength fluorescence spectroscopy is a valuable tool for on-line monitoring of bioprocess, care must be taken to re-calibrate the PLS models at different growth rates to improve the accuracy of predictions.",
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AU - Jain, Garima

AU - Jayaraman, Guhan

AU - Kökpinar, Öznur

AU - Rinas, Ursula

AU - Hitzmann, Bernd

N1 - Funding Information: One of the authors (Garima Jain) was financially supported by the Deutscher Akademischer Austauschdienst (DAAD) during her stay in Germany. Part of this project was funded through the German Ministry of Education and Research (BMBF) within the FORSYS-Partner program.

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N2 - Multi-wavelength fluorescence spectroscopy was evaluated as a tool for on-line monitoring of recombinant Escherichia coli cultivations expressing human basic fibroblast growth factor (hFGF-2). The data sets for the various combinations of the excitation and emission spectra from batch cultivations were analyzed using principal component analysis. Chemometric models (the partial least squares method) were developed for correlating the fluorescence data and the experimentally measured variables such as the biomass and glucose concentrations as well as the carbon dioxide production rate. Excellent correlations were obtained for these variables for the calibration cultivations. The predictability of these models was further tested in batch and fed-batch cultivations. The batch cultivations were well predicted by the PLS models for biomass, glucose concentrations and carbon dioxide production rate (RMSEPs were respectively 5%, 7%, 9%). However, when tested for biomass concentrations in fed-batch cultivations (with final biomass three times higher than the highest calibration data) the models had good predictability at high growth rates (RMSEPs were 3% and 4%, respectively for uninduced and induced fed-batch cultivations), which was as good as for the batch cultivations used for developing the models (RMSEPs were 3% and 5%, respectively for uninduced and induced batch cultivations). The fed-batch cultivations performed at low growth rates exhibited much higher fluorescence for fluorophores such as flavin and NAD(P)H as compared to fed-batch cultivations at high growth rate. Therefore, the PLS models tended to over-predict the biomass concentrations at low growth rates. Obviously the cells changed their concentration of biogenic fluorophores depending on the growth rate. Although multi-wavelength fluorescence spectroscopy is a valuable tool for on-line monitoring of bioprocess, care must be taken to re-calibrate the PLS models at different growth rates to improve the accuracy of predictions.

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KW - On-line monitoring

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