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Robust on-line sampling and analysis during long-term perfusion cultivation of mammalian cells
- Source :
- Journal of Biotechnology. 165:133-137
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- In an attempt to support robust automated sampling and analysis of mammalian cell bioreactors, an integrated platform, BaychroMAT®, was developed which includes an innovative sterile sampling device, automated sample transport, a sample preparation module, online analyzers, and communication interfaces to process automation systems. The robustness of this platform was verified by applying it to a laboratory-scale perfusion bioreactor that was operated for over 100 days. Both manual and automated samples were collected over the course of the run and a comparison was made for cell density, viability, glucose, and lactate concentrations. The highest variability (14.4%) was seen for cell density estimates while those for viability, glucose, and lactate were 0.7, 12.9, and 8.2%, respectively. In addition, cell density set-point changes were made towards the end of the perfusion culture and the high frequency automated samples provided a higher resolution description of the dynamics of cell density change compared to less frequent manual sampling. Overall, our results indicate stable and robust operation of the BaychroMAT® platform in a long-term perfusion culture. This success should readily translate to shorter duration fed-batch cultures thereby enabling feed-back control based on real-time nutrient measurements.
- Subjects :
- Sample (material)
Cell Culture Techniques
Analytical chemistry
Sampling (statistics)
Bioengineering
General Medicine
Applied Microbiology and Biotechnology
Bioreactors
Perfusion Culture
Robustness (computer science)
Bioreactor
Animals
Environmental science
Process control
Sample preparation
Perfusion
Biotechnology
Biomedical engineering
Subjects
Details
- ISSN :
- 01681656
- Volume :
- 165
- Database :
- OpenAIRE
- Journal :
- Journal of Biotechnology
- Accession number :
- edsair.doi.dedup.....c2c46fa95bab85fd516835af20674182