Details
| Original language | English |
|---|---|
| Article number | 762 |
| Journal | Bioengineering |
| Volume | 9 |
| Issue number | 12 |
| Publication status | Published - Dec 2022 |
Abstract
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.
Keywords
- bioprocess, cell culture, monitoring, sensors, soft sensor, spectroscopy, viability
ASJC Scopus subject areas
- Chemical Engineering(all)
- Bioengineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Bioengineering, Vol. 9, No. 12, 762, 12.2022.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
AU - Rösner, Laura S.
AU - Walter, Franziska
AU - Ude, Christian
AU - John, Gernot T.
AU - Beutel, Sascha
N1 - Funding Information: This work was financially supported by the Federal Ministry for Economic Affairs and Energy (BMWi) within the framework of the ZIM initiative, project no. KK5344001LU1. Furthermore, the authors would like to thank the Open Access fund of Leibniz University Hannover for funding of the publication of this article. Open access funding was enabled and organized by Projekt DEAL.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - bioprocess
KW - cell culture
KW - monitoring
KW - sensors
KW - soft sensor
KW - spectroscopy
KW - viability
UR - http://www.scopus.com/inward/record.url?scp=85144671847&partnerID=8YFLogxK
U2 - 10.3390/bioengineering9120762
DO - 10.3390/bioengineering9120762
M3 - Review article
AN - SCOPUS:85144671847
VL - 9
JO - Bioengineering
JF - Bioengineering
IS - 12
M1 - 762
ER -