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Evaluation of software sensors for on-line estimation of culture conditions in an Escherichia coli cultivation expressing a recombinant protein
Linköping University, Department of Physics, Chemistry and Biology, Biotechnology . Linköping University, The Institute of Technology.
Belach Biotekn AB.
Linköping University, Department of Physics, Chemistry and Biology, Biotechnology . Linköping University, The Institute of Technology.
2010 (English)In: JOURNAL OF BIOTECHNOLOGY, ISSN 0168-1656, Vol. 147, no 1, 37-45 p.Article in journal (Refereed) Published
Abstract [en]

Software sensors for monitoring and on-line estimation of critical bioprocess variables have mainly been used with standard bioreactor sensors, such as electrodes and gas analyzers, where algorithms in the software model have generated the desired state variables. In this article we propose that other on-line instruments, such as NIR probes and on-line HPLC, should be used to make more reliable and flexible software sensors Five software sensor architectures were compared and evaluated. (1) biomass concentration from an on-line NIR probe. (2) biomass concentration from titrant addition, (3) specific growth rate from titrant addition. (4) specific growth rate from the NIR probe, and (5) specific substrate uptake rate and by-product rate from on-line HPLC and NIR probe signals. The software sensors were demonstrated on an Escherichia colt cultivation expressing a recombinant protein, green fluorescent protein (GFP), but the results could be extrapolated to other production organisms and product proteins. We conclude that well-maintained on-line instrumentation (hardware sensors) can increase the potential of software sensors This would also strongly support the intentions with process analytical technology and quality-by-design concepts

Place, publisher, year, edition, pages
Elsevier Science B.V., Amsterdam. , 2010. Vol. 147, no 1, 37-45 p.
Keyword [en]
On-line estimation, Software sensor, Near-infrared spectrometry, PAT, QbD
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-56802DOI: 10.1016/j.jbiotec.2010.02.023ISI: 000277896200005OAI: oai:DiVA.org:liu-56802DiVA: diva2:322260
Available from: 2010-06-04 Created: 2010-06-04 Last updated: 2010-06-04

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Mandenius, Carl-Fredrik

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf