A novel LED-based 2D-fluorescence spectroscopy system for in-line monitoring of Chinese hamster ovary cell cultivations – Part I

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Alexander Graf
  • Jens Claßen
  • Dörte Solle
  • Bernd Hitzmann
  • Karsten Rebner
  • Marek Hoehse

Research Organisations

External Research Organisations

  • Sartorius AG
  • Reutlingen University
  • University of Hohenheim
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Details

Original languageEnglish
Pages (from-to)352-362
Number of pages11
JournalEngineering in life sciences
Volume19
Issue number5
Early online date14 Mar 2019
Publication statusPublished - 6 May 2019

Abstract

A new two-dimensional fluorescence sensor system was developed for in-line monitoring of mammalian cell cultures. Fluorescence spectroscopy allows for the detection and quantification of naturally occurring intra- and extracellular fluorophores in the cell broth. The fluorescence signals correlate to the cells’ current redox state and other relevant process parameters. Cell culture pretests with twelve different excitation wavelengths showed that only three wavelengths account for a vast majority of spectral variation. Accordingly, the newly developed device utilizes three high-power LEDs as excitation sources in combination with a back-thinned CCD-spectrometer for fluorescence detection. This setup was first tested in a lab design of experiments study with process relevant fluorophores proving its suitability for cell culture monitoring with LOD in the μg/L range. The sensor was then integrated into a CHO-K1 cell culture process. The acquired fluorescence spectra of several batches were evaluated using multivariate methods. The resulting batch evolution models were challenged in deviating and “golden batch” validation runs. These first tests showed that the new sensor can trace the cells’ metabolic state in a fast and reliable manner. Cellular distress is quickly detected as a deviation from the “golden batch”.

Keywords

    2D-fluorescence spectroscopy, CHO cell cultivation, in-line bioprocess monitoring, metabolism monitoring, MVDA, PAT

ASJC Scopus subject areas

Cite this

A novel LED-based 2D-fluorescence spectroscopy system for in-line monitoring of Chinese hamster ovary cell cultivations – Part I. / Graf, Alexander; Claßen, Jens; Solle, Dörte et al.
In: Engineering in life sciences, Vol. 19, No. 5, 06.05.2019, p. 352-362.

Research output: Contribution to journalArticleResearchpeer review

Graf A, Claßen J, Solle D, Hitzmann B, Rebner K, Hoehse M. A novel LED-based 2D-fluorescence spectroscopy system for in-line monitoring of Chinese hamster ovary cell cultivations – Part I. Engineering in life sciences. 2019 May 6;19(5):352-362. Epub 2019 Mar 14. doi: 10.1002/elsc.201800149
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abstract = "A new two-dimensional fluorescence sensor system was developed for in-line monitoring of mammalian cell cultures. Fluorescence spectroscopy allows for the detection and quantification of naturally occurring intra- and extracellular fluorophores in the cell broth. The fluorescence signals correlate to the cells{\textquoteright} current redox state and other relevant process parameters. Cell culture pretests with twelve different excitation wavelengths showed that only three wavelengths account for a vast majority of spectral variation. Accordingly, the newly developed device utilizes three high-power LEDs as excitation sources in combination with a back-thinned CCD-spectrometer for fluorescence detection. This setup was first tested in a lab design of experiments study with process relevant fluorophores proving its suitability for cell culture monitoring with LOD in the μg/L range. The sensor was then integrated into a CHO-K1 cell culture process. The acquired fluorescence spectra of several batches were evaluated using multivariate methods. The resulting batch evolution models were challenged in deviating and “golden batch” validation runs. These first tests showed that the new sensor can trace the cells{\textquoteright} metabolic state in a fast and reliable manner. Cellular distress is quickly detected as a deviation from the “golden batch”.",
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