Details
| Original language | English |
|---|---|
| Pages (from-to) | 387-391 |
| Number of pages | 5 |
| Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 37 |
| Issue number | 3 |
| Publication status | Published - 2004 |
| Event | 9th IFAC International Symposium on Computer Applications in Biotechnology, CAB 2004 - Nancy, France Duration: 28 Mar 2004 → 31 Mar 2004 |
Abstract
We have developed a framework that is capable of providing complete automation of mammalian cell perfusion processes. This framework includes an expert system that provides low-level control of the process based on data obtained from online and offline sensors and maintains system integrity by checking for failure and taking the necessary corrective action. In addition, it can also make several high level decisions such as switching operating modes during the perfusion process based on an extensive knowledge database of the process. The capabilities of the expert system can be considerably enhanced through the generation or high quality process data in real time. One such approach we have taken is the real-time computation of specific rates and metabolic fluxes resulting in a physiological state vector of high information content. We have also developed an in-situ microscope for reliable in-situ monitoring of the cell density, one of the most critical parameters for perfusion process control. These advances enable advanced and intelligent control of the perfusion process. The other component of process automation includes applications such as bioreactor sampling and subsequent sample manipulations. To achieve this objective, a prototype of a robotic system was developed that is able to draw samples from the bioreactor and perform certain offline operations with the sample.
Keywords
- Automation, Cell culture, Expert system, In-situ microscopy, Metabolic flux analysis, Perfusion process
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
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In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 37, No. 3, 2004, p. 387-391.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Towards complete automation of mammalian cell culture perfusion processes
AU - Joeris, Klaus
AU - Goudar, Chetan
AU - Zhang, Chun
AU - Michaels, Jim
AU - Matanguihan, Cary
AU - Heidemann, Rüdiger
AU - Johnson, Andrew
AU - Frerichs, Jan Gerd
AU - Scheper, Thomas
AU - Knoll, Alois
AU - Lehmann, Jürgen
AU - Konstantinov, Konstantin
PY - 2004
Y1 - 2004
N2 - We have developed a framework that is capable of providing complete automation of mammalian cell perfusion processes. This framework includes an expert system that provides low-level control of the process based on data obtained from online and offline sensors and maintains system integrity by checking for failure and taking the necessary corrective action. In addition, it can also make several high level decisions such as switching operating modes during the perfusion process based on an extensive knowledge database of the process. The capabilities of the expert system can be considerably enhanced through the generation or high quality process data in real time. One such approach we have taken is the real-time computation of specific rates and metabolic fluxes resulting in a physiological state vector of high information content. We have also developed an in-situ microscope for reliable in-situ monitoring of the cell density, one of the most critical parameters for perfusion process control. These advances enable advanced and intelligent control of the perfusion process. The other component of process automation includes applications such as bioreactor sampling and subsequent sample manipulations. To achieve this objective, a prototype of a robotic system was developed that is able to draw samples from the bioreactor and perform certain offline operations with the sample.
AB - We have developed a framework that is capable of providing complete automation of mammalian cell perfusion processes. This framework includes an expert system that provides low-level control of the process based on data obtained from online and offline sensors and maintains system integrity by checking for failure and taking the necessary corrective action. In addition, it can also make several high level decisions such as switching operating modes during the perfusion process based on an extensive knowledge database of the process. The capabilities of the expert system can be considerably enhanced through the generation or high quality process data in real time. One such approach we have taken is the real-time computation of specific rates and metabolic fluxes resulting in a physiological state vector of high information content. We have also developed an in-situ microscope for reliable in-situ monitoring of the cell density, one of the most critical parameters for perfusion process control. These advances enable advanced and intelligent control of the perfusion process. The other component of process automation includes applications such as bioreactor sampling and subsequent sample manipulations. To achieve this objective, a prototype of a robotic system was developed that is able to draw samples from the bioreactor and perform certain offline operations with the sample.
KW - Automation
KW - Cell culture
KW - Expert system
KW - In-situ microscopy
KW - Metabolic flux analysis
KW - Perfusion process
UR - http://www.scopus.com/inward/record.url?scp=85083213391&partnerID=8YFLogxK
U2 - 10.1016/S1474-6670(17)32612-5
DO - 10.1016/S1474-6670(17)32612-5
M3 - Conference article
AN - SCOPUS:85083213391
VL - 37
SP - 387
EP - 391
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
SN - 1474-6670
IS - 3
T2 - 9th IFAC International Symposium on Computer Applications in Biotechnology, CAB 2004
Y2 - 28 March 2004 through 31 March 2004
ER -