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| Verfasst von: | Schalk, Robert [VerfasserIn]  |
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| | Heintz, Annabell [VerfasserIn] |
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| | Braun, Frank [VerfasserIn] |
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| | Iacono, Giuseppe [VerfasserIn] |
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| | Rädle, Matthias [VerfasserIn] |
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| | Gretz, Norbert [VerfasserIn] |
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| | Methner, Frank-Jürgen [VerfasserIn] |
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| | Beuermann, Thomas [VerfasserIn] |
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| Titel: | Comparison of raman and mid-infrared spectroscopy for real-time monitoring of yeast fermentations |
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| Titelzusatz: | a proof-of-concept for multi-channel photometric sensors |
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| Verf.angabe: | Robert Schalk, Annabell Heintz, Frank Braun, Giuseppe Iacono, Matthias Raedle, Norbert Gretz, Frank-Juergen Methner and Thomas Beuermann |
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| E-Jahr: | 2019 |
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| Jahr: | 17 June 2019 |
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| Umfang: | 18 S. |
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| Fussnoten: | Gesehen am 11.09.2019 |
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| Titel Quelle: | Enthalten in: Applied Sciences |
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| Ort Quelle: | Basel : MDPI, 2011 |
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| Jahr Quelle: | 2019 |
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| Band/Heft Quelle: | 9(2019,12), Artikel-Nummer 2472, 18 Seiten |
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| ISSN Quelle: | 2076-3417 |
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| Abstract: | Raman and mid-infrared (MIR) spectroscopy are useful tools for the specific detection of molecules, since both methods are based on the excitation of fundamental vibration modes. In this study, Raman and MIR spectroscopy were applied simultaneously during aerobic yeast fermentations of Saccharomyces cerevisiae. Based on the recorded Raman intensities and MIR absorption spectra, respectively, temporal concentration courses of glucose, ethanol, and biomass were determined. The chemometric methods used to evaluate the analyte concentrations were partial least squares (PLS) regression and multiple linear regression (MLR). In view of potential photometric sensors, MLR models based on two (2D) and four (4D) analyte-specific optical channels were developed. All chemometric models were tested to predict glucose concentrations between 0 and 30 g L-1, ethanol concentrations between 0 and 10 g L-1, and biomass concentrations up to 15 g L-1 in real time during diauxic growth. Root-mean-squared errors of prediction (RMSEP) of 0.68 g L-1, 0.48 g L-1, and 0.37 g L-1 for glucose, ethanol, and biomass were achieved using the MIR setup combined with a PLS model. In the case of Raman spectroscopy, the corresponding RMSEP values were 0.92 g L-1, 0.39 g L-1, and 0.29 g L-1. Nevertheless, the simple 4D MLR models could reach the performance of the more complex PLS evaluation. Consequently, the replacement of spectrometer setups by four-channel sensors were discussed. Moreover, the advantages and disadvantages of Raman and MIR setups are demonstrated with regard to process implementation. |
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| DOI: | doi:10.3390/app9122472 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.3390/app9122472 |
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| | kostenfrei: Volltext: https://www.mdpi.com/2076-3417/9/12/2472 |
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| | DOI: https://doi.org/10.3390/app9122472 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | biomass |
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| | bioprocess |
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| | ethanol |
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| | fermentation of Saccharomyces cerevisiae |
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| | in-line reaction |
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| | mid-infrared spectroscopy |
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| | monitoring of glucose |
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| | multi-channel photometric sensors |
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| | multiple linear regression |
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| | partial least squares regression |
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| | prediction |
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| | probe |
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| | Raman spectroscopy |
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| | real-time monitoring |
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| | saccharomyces-cerevisiae |
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| | systems |
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| K10plus-PPN: | 1676501894 |
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| Verknüpfungen: | → Zeitschrift |
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Comparison of raman and mid-infrared spectroscopy for real-time monitoring of yeast fermentations / Schalk, Robert [VerfasserIn]; 17 June 2019 (Online-Ressource)
