Comparison of time-gated surface-enhanced raman spectroscopy (TG-SERS) and classical SERS based monitoring of Escherichia coli cultivation samples

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Kögler , M , Paul , A , Anane , E , Birkholz , M , Bunker , A , Viitala , T , Maiwald , M , Junne , S & Neubauer , P 2018 , ' Comparison of time-gated surface-enhanced raman spectroscopy (TG-SERS) and classical SERS based monitoring of Escherichia coli cultivation samples ' , Biotechnology Progress , vol. 34 , no. 6 , pp. 1533-1542 . https://doi.org/10.1002/btpr.2665

Title: Comparison of time-gated surface-enhanced raman spectroscopy (TG-SERS) and classical SERS based monitoring of Escherichia coli cultivation samples
Author: Kögler, Martin; Paul, Andrea; Anane, Emmanuel; Birkholz, Mario; Bunker, Alex; Viitala, Tapani; Maiwald, Michael; Junne, Stefan; Neubauer, Peter
Contributor: University of Helsinki, Division of Pharmaceutical Biosciences
University of Helsinki, Division of Pharmaceutical Biosciences
University of Helsinki, Division of Pharmaceutical Biosciences
Date: 2018
Language: eng
Number of pages: 10
Belongs to series: Biotechnology Progress
ISSN: 8756-7938
URI: http://hdl.handle.net/10138/327074
Abstract: The application of Raman spectroscopy as a monitoring technique for bioprocesses is severely limited by a large background signal originating from fluorescing compounds in the culture media. Here, we compare time-gated Raman (TG-Raman)-, continuous wave NIR-process Raman (NIR-Raman), and continuous wave micro-Raman (micro-Raman) approaches in combination with surface enhanced Raman spectroscopy (SERS) for their potential to overcome this limit. For that purpose, we monitored metabolite concentrations of Escherichia coli bioreactor cultivations in cell-free supernatant samples. We investigated concentration transients of glucose, acetate, AMP, and cAMP at alternating substrate availability, from deficiency to excess. Raman and SERS signals were compared to off-line metabolite analysis of carbohydrates, carboxylic acids, and nucleotides. Results demonstrate that SERS, in almost all cases, led to a higher number of identifiable signals and better resolved spectra. Spectra derived from the TG-Raman were comparable to those of micro-Raman resulting in well-discernable Raman peaks, which allowed for the identification of a higher number of compounds. In contrast, NIR-Raman provided a superior performance for the quantitative evaluation of analytes, both with and without SERS nanoparticles when using multivariate data analysis. (c) 2018 American Institute of Chemical Engineers
Subject: time-gated Raman (TG-Raman)
surface-enhanced Raman spectroscopy (SERS)
multivariate data analysis
metabolite quantification
Escherichia coli
IN-SITU
SCATTERING
CULTURE
IDENTIFICATION
SUPPRESSION
ALUMINUM
1183 Plant biology, microbiology, virology
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