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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9774925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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