Non-contact Raman spectroscopy for in-line monitoring of glucose and ethanol during yeast fermentations
The monitoring of microbiological processes using Raman spectroscopy has gained in importance over the past few years. Commercial Raman spectroscopic equipment consists of a laser, spectrometer, and fiberoptic immersion probe in direct contact with the fermentation medium. To avoid possible steriliz...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
27 June 2017
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| In: |
Bioprocess and biosystems engineering
Year: 2017, Jahrgang: 40, Heft: 10, Pages: 1519-1527 |
| ISSN: | 1615-7605 |
| DOI: | 10.1007/s00449-017-1808-9 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1007/s00449-017-1808-9 Verlag, Volltext: https://doi.org/10.1007/s00449-017-1808-9 
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| Verfasserangaben: | Robert Schalk, Frank Braun, Rudolf Frank, Matthias Rädle, Norbert Gretz, Frank-Jürgen Methner, Thomas Beuermann |
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| 520 | |a The monitoring of microbiological processes using Raman spectroscopy has gained in importance over the past few years. Commercial Raman spectroscopic equipment consists of a laser, spectrometer, and fiberoptic immersion probe in direct contact with the fermentation medium. To avoid possible sterilization problems and biofilm formation on the probe tip, a large-aperture Raman probe was developed. The design of the probe enables non-contact in-line measurements through glass vessels or inspection glasses of bioreactors and chemical reactors. The practical applicability of the probe was tested during yeast fermentations by monitoring the consumption of substrate glucose and the formation of ethanol as the product. Multiple linear regression models were applied to evaluate the Raman spectra. Reference values were determined by high-performance liquid chromatography. The relative errors of prediction for glucose and ethanol were 5 and 3%, respectively. The presented Raman probe allows simple adaption to a wide range of processes in the chemical, pharmaceutical, and biotechnological industries. | ||
| 650 | 4 | |a Glucose and ethanol | |
| 650 | 4 | |a In-line reaction monitoring | |
| 650 | 4 | |a Multiple linear regression | |
| 650 | 4 | |a Non-contact Raman spectroscopy | |
| 650 | 4 | |a Saccharomyces cerevisiae | |
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