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Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring

In recent years, the bioprocessing industry has experienced significant growth and is increasingly emerging as an important economic sector. Here, efficient process management and constant control of cellular growth are essential. Good product quality and yield can only be guaranteed with high cell...

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Detalles Bibliográficos
Autores principales: Rösner, Laura S., Walter, Franziska, Ude, Christian, John, Gernot T., Beutel, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774925/
https://www.ncbi.nlm.nih.gov/pubmed/36550968
http://dx.doi.org/10.3390/bioengineering9120762
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author Rösner, Laura S.
Walter, Franziska
Ude, Christian
John, Gernot T.
Beutel, Sascha
author_facet Rösner, Laura S.
Walter, Franziska
Ude, Christian
John, Gernot T.
Beutel, Sascha
author_sort Rösner, Laura S.
collection PubMed
description In recent years, the bioprocessing industry has experienced significant growth and is increasingly emerging as an important economic sector. Here, efficient process management and constant control of cellular growth are essential. Good product quality and yield can only be guaranteed with high cell density and high viability. Whereas the on-line measurement of physical and chemical process parameters has been common practice for many years, the on-line determination of viability remains a challenge and few commercial on-line measurement methods have been developed to date for determining viability in industrial bioprocesses. Thus, numerous studies have recently been conducted to develop sensors for on-line viability estimation, especially in the field of optical spectroscopic sensors, which will be the focus of this review. Spectroscopic sensors are versatile, on-line and mostly non-invasive. Especially in combination with bioinformatic data analysis, they offer great potential for industrial application. Known as soft sensors, they usually enable simultaneous estimation of multiple biological variables besides viability to be obtained from the same set of measurement data. However, the majority of the presented sensors are still in the research stage, and only a few are already commercially available.
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spelling pubmed-97749252022-12-23 Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring Rösner, Laura S. Walter, Franziska Ude, Christian John, Gernot T. Beutel, Sascha Bioengineering (Basel) Review In recent years, the bioprocessing industry has experienced significant growth and is increasingly emerging as an important economic sector. Here, efficient process management and constant control of cellular growth are essential. Good product quality and yield can only be guaranteed with high cell density and high viability. Whereas the on-line measurement of physical and chemical process parameters has been common practice for many years, the on-line determination of viability remains a challenge and few commercial on-line measurement methods have been developed to date for determining viability in industrial bioprocesses. Thus, numerous studies have recently been conducted to develop sensors for on-line viability estimation, especially in the field of optical spectroscopic sensors, which will be the focus of this review. Spectroscopic sensors are versatile, on-line and mostly non-invasive. Especially in combination with bioinformatic data analysis, they offer great potential for industrial application. Known as soft sensors, they usually enable simultaneous estimation of multiple biological variables besides viability to be obtained from the same set of measurement data. However, the majority of the presented sensors are still in the research stage, and only a few are already commercially available. MDPI 2022-12-03 /pmc/articles/PMC9774925/ /pubmed/36550968 http://dx.doi.org/10.3390/bioengineering9120762 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Rösner, Laura S.
Walter, Franziska
Ude, Christian
John, Gernot T.
Beutel, Sascha
Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title_full Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title_fullStr Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title_full_unstemmed Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title_short Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
title_sort sensors and techniques for on-line determination of cell viability in bioprocess monitoring
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774925/
https://www.ncbi.nlm.nih.gov/pubmed/36550968
http://dx.doi.org/10.3390/bioengineering9120762
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