LAPSE:2020.0614
Published Article
LAPSE:2020.0614
A Chemometric Tool to Monitor and Predict Cell Viability in Filamentous Fungi Bioprocesses Using UV Chromatogram Fingerprints
Philipp Doppler, Lukas Veiter, Oliver Spadiut, Christoph Herwig, Vignesh Rajamanickam
June 23, 2020
Monitoring process variables in bioprocesses with complex expression systems, such as filamentous fungi, requires a vast number of offline methods or sophisticated inline sensors. In this respect, cell viability is a crucial process variable determining the overall process performance. Thus, fast and precise tools for identification of key process deviations or transitions are needed. However, such reliable monitoring tools are still scarce to date or require sophisticated equipment. In this study, we used the commonly available size exclusion chromatography (SEC) HPLC technique to capture impurity release information in Penicillium chrysogenum bioprocesses. We exploited the impurity release information contained in UV chromatograms as fingerprints for development of principal component analysis (PCA) models to descriptively analyze the process trends. Prediction models using well established approaches, such as partial least squares (PLS), orthogonal PLS (OPLS) and principal component regression (PCR), were made to predict the viability with model accuracies of 90% or higher. Furthermore, we demonstrated the platform applicability of our method by monitoring viability in a Trichoderma reesei process for cellulase production. We are convinced that this method will not only facilitate monitoring viability of complex bioprocesses but could also be used for enhanced process control with hybrid models in the future.
Keywords
cell viability, chromatogram fingerprinting, filamentous fungi, HPLC-SEC, Penicillium chrysogenum, prediction, Trichoderma reesei Rut-C30
Suggested Citation
Doppler P, Veiter L, Spadiut O, Herwig C, Rajamanickam V. A Chemometric Tool to Monitor and Predict Cell Viability in Filamentous Fungi Bioprocesses Using UV Chromatogram Fingerprints. (2020). LAPSE:2020.0614
Author Affiliations
Doppler P: Institute of Chemical, Envirionmental and Bioscience Engineering, Research Area Biochemical Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060 Vienna, Austria
Veiter L: Institute of Chemical, Envirionmental and Bioscience Engineering, Research Area Biochemical Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060 Vienna, Austria; Competence Center CHASE GmbH, Altenbergerstraße 69, 4040 Linz, Austria
Spadiut O: Institute of Chemical, Envirionmental and Bioscience Engineering, Research Area Biochemical Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060 Vienna, Austria [ORCID]
Herwig C: Institute of Chemical, Envirionmental and Bioscience Engineering, Research Area Biochemical Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060 Vienna, Austria; Competence Center CHASE GmbH, Altenbergerstraße 69, 4040 Linz, Austria; Christian Doppler Lab [ORCID]
Rajamanickam V: Institute of Chemical, Envirionmental and Bioscience Engineering, Research Area Biochemical Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060 Vienna, Austria
Journal Name
Processes
Volume
8
Issue
4
Article Number
E461
Year
2020
Publication Date
2020-04-14
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8040461, Publication Type: Journal Article
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LAPSE:2020.0614
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doi:10.3390/pr8040461
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Jun 23, 2020
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Calvin Tsay
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