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Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology

Real-time measurements and adjustments of critical process parameters are essential for the precise control of fermentation processes and thus for increasing both quality and yield of the desired product. However, the measurement of some crucial process parameters such as biomass, product, and produ...

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Autores principales: Zimmerleiter, Robert, Kager, Julian, Nikzad-Langerodi, Ramin, Berezhinskiy, Vladimir, Westad, Frank, Herwig, Christoph, Brandstetter, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072045/
https://www.ncbi.nlm.nih.gov/pubmed/31802180
http://dx.doi.org/10.1007/s00216-019-02227-w
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author Zimmerleiter, Robert
Kager, Julian
Nikzad-Langerodi, Ramin
Berezhinskiy, Vladimir
Westad, Frank
Herwig, Christoph
Brandstetter, Markus
author_facet Zimmerleiter, Robert
Kager, Julian
Nikzad-Langerodi, Ramin
Berezhinskiy, Vladimir
Westad, Frank
Herwig, Christoph
Brandstetter, Markus
author_sort Zimmerleiter, Robert
collection PubMed
description Real-time measurements and adjustments of critical process parameters are essential for the precise control of fermentation processes and thus for increasing both quality and yield of the desired product. However, the measurement of some crucial process parameters such as biomass, product, and product precursor concentrations usually requires time-consuming offline laboratory analysis. In this work, we demonstrate the in-line monitoring of biomass, penicillin (PEN), and phenoxyacetic acid (POX) in a Penicilliumchrysogenum fed-batch fermentation process using low-cost microspectrometer technology operating in the near-infrared (NIR). In particular, NIR reflection spectra were taken directly through the glass wall of the bioreactor, which eliminates the need for an expensive NIR immersion probe. Furthermore, the risk of contaminations in the reactor is significantly reduced, as no direct contact with the investigated medium is required. NIR spectra were acquired using two sensor modules covering the spectral ranges 1350–1650 nm and 1550–1950 nm. Based on offline reference analytics, partial least squares (PLS) regression models were established for biomass, PEN, and POX either using data from both sensors separately or jointly. The established PLS models were tested on an independent validation fed-batch experiment. Root mean squared errors of prediction (RMSEP) were 1.61 g/L, 1.66 g/L, and 0.67 g/L for biomass, PEN, and POX, respectively, which can be considered an acceptable accuracy comparable with previously published results using standard process spectrometers with immersion probes. Altogether, the presented results underpin the potential of low-cost microspectrometer technology in real-time bioprocess monitoring applications. [Figure: see text]
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spelling pubmed-70720452020-03-23 Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology Zimmerleiter, Robert Kager, Julian Nikzad-Langerodi, Ramin Berezhinskiy, Vladimir Westad, Frank Herwig, Christoph Brandstetter, Markus Anal Bioanal Chem Research Paper Real-time measurements and adjustments of critical process parameters are essential for the precise control of fermentation processes and thus for increasing both quality and yield of the desired product. However, the measurement of some crucial process parameters such as biomass, product, and product precursor concentrations usually requires time-consuming offline laboratory analysis. In this work, we demonstrate the in-line monitoring of biomass, penicillin (PEN), and phenoxyacetic acid (POX) in a Penicilliumchrysogenum fed-batch fermentation process using low-cost microspectrometer technology operating in the near-infrared (NIR). In particular, NIR reflection spectra were taken directly through the glass wall of the bioreactor, which eliminates the need for an expensive NIR immersion probe. Furthermore, the risk of contaminations in the reactor is significantly reduced, as no direct contact with the investigated medium is required. NIR spectra were acquired using two sensor modules covering the spectral ranges 1350–1650 nm and 1550–1950 nm. Based on offline reference analytics, partial least squares (PLS) regression models were established for biomass, PEN, and POX either using data from both sensors separately or jointly. The established PLS models were tested on an independent validation fed-batch experiment. Root mean squared errors of prediction (RMSEP) were 1.61 g/L, 1.66 g/L, and 0.67 g/L for biomass, PEN, and POX, respectively, which can be considered an acceptable accuracy comparable with previously published results using standard process spectrometers with immersion probes. Altogether, the presented results underpin the potential of low-cost microspectrometer technology in real-time bioprocess monitoring applications. [Figure: see text] Springer Berlin Heidelberg 2019-12-04 2020 /pmc/articles/PMC7072045/ /pubmed/31802180 http://dx.doi.org/10.1007/s00216-019-02227-w Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Zimmerleiter, Robert
Kager, Julian
Nikzad-Langerodi, Ramin
Berezhinskiy, Vladimir
Westad, Frank
Herwig, Christoph
Brandstetter, Markus
Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title_full Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title_fullStr Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title_full_unstemmed Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title_short Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
title_sort probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072045/
https://www.ncbi.nlm.nih.gov/pubmed/31802180
http://dx.doi.org/10.1007/s00216-019-02227-w
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