Combined shifted-excitation Raman difference spectroscopy and support vector regression for monitoring the algal production of complex polysaccharides

Kristina Noack, Bjoern Eskofier, Johannes Kiefer, Christina Dilk, Georg Bilow, Matthias Schirmer, Rainer Buchholz, Alfred Leipertz

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28 Citations (Scopus)

Abstract

The applicability of shifted-excitation Raman difference spectroscopy (SERDS) in combination with signal regression analysis as an alternative and non-invasive approach for monitoring the cultivation of phototrophic microorganisms producing complex molecules of pharmaceutical relevance in a bioreactor is demonstrated. As a model system, the cultivation of the red unicellular algae Porphyridium purpureum is used for focusing on the segregation of sulfated exopolysaccharides (EPS) which exhibit antiviral activity. The spectroscopic results obtained by partial linear least squares regression (PLSR) and by nonlinear support vector regression (SVR) are discussed against the corresponding results from the reference analytics based on the phenol-sulfuric acid assay. The SERDS-approach turns out to have strong potential as a non-invasive tool for online-monitoring of biotechnological processes.
Original languageEnglish
Pages (from-to)5639-5646
Number of pages8
JournalAnalyst
Volume138
Issue number19
Early online date17 Jul 2013
DOIs
Publication statusPublished - 7 Oct 2013

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    Noack, K., Eskofier, B., Kiefer, J., Dilk, C., Bilow, G., Schirmer, M., Buchholz, R., & Leipertz, A. (2013). Combined shifted-excitation Raman difference spectroscopy and support vector regression for monitoring the algal production of complex polysaccharides. Analyst, 138(19), 5639-5646. https://doi.org/10.1039/c3an01158e