| 1. |
- J T Carrondo, Manuel J T, et al.
(författare)
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How can measurement, monitoring, modeling and control advance cell culture in industrial biotechnology?
- 2012
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Ingår i: Biotechnology Journal. - : Wiley-VCH Verlag Berlin. - 1860-6768 .- 1860-7314. ; 7:12, s. 1522-1529
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Tidskriftsartikel (refereegranskat)abstract
- This report highlights the potential of measurement, monitoring, modeling and control ((MC)-C-3) methodologies in animal and human cell culture technology. In particular, state-of-the-art of (MC)-C-3 technologies and their industrial relevance of existing technology are addressed. It is a summary of an expert panel discussion between biotechnologists and biochemical engineers with both academic and industrial backgrounds. The latest ascents in (MC)-C-3 are discussed from a cell culture perspective for industrial process development and production needs. The report concludes with a set of recommendations for targeting (MC)-C-3 research toward the industrial interests. These include issues of importance for biotherapeutics production, miniaturization of measurement techniques and modeling methods.
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| 2. |
- Kreij, Karl, 1975-, et al.
(författare)
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On-line detection of microbial contaminations in animal cell reactor cultures using an electronic nose device
- 2005
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Ingår i: Cytotechnology (Dordrecht). - : Springer Science and Business Media LLC. - 0920-9069 .- 1573-0778. ; 48:1-3, s. 41-58
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Tidskriftsartikel (refereegranskat)abstract
- An electronic nose (EN) device was used to detect microbial and viral contaminations in a variety of animal cell culture systems. The emission of volatile components from the cultures accumulated in the bioreactor headspace, was sampled and subsequently analysed by the EN device. The EN, which was equipped with an array of 17 chemical gas sensors of varying selectivity towards the sampled volatile molecules, generated response patterns of up to 85 computed signals. Each 15 or 20 min a new gas sample was taken generating a new response pattern. A software evaluation tool visualised the data mainly by using principal component analysis. The EN was first used to detect microbial contaminations in a Chinese hamster ovary (CHO) cell line producing a recombinant human macrophage colony stimulating factor (rhM-CSF). The CHO cell culture was contaminated by Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Candida utilis which all were detected. The response patterns from the CHO cell culture were compared with monoculture references of the microorganisms. Second, contaminations were studied in an Sf-9 insect cell culture producing another recombinant protein (VP2 protein). Contaminants were detected from E. coli, a filamentous fungus and a baculovirus. Third, contamination of a human cell line, HEK-293, infected with E. coli exhibited comparable results. Fourth, bacterial contaminations could also be detected in cultures of a MLV vector producer cell line. Based on the overall experiences in this study it is concluded that the EN method has in a number of cases the potential to be developed into a useful on-line contamination alarm in order to support safety and economical operation for industrial cultivation. © Springer 2005.
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