Monitoring cellular state transitions in a production-scale CHO-cell process using an electronic nose

Bachinger, Thomas; Riese, U.; Eriksson, Rolf; Mandenius, Carl‐Fredrik

doi:10.1016/s0168-1656(99)00179-0

Cited by 37 publications

(21 citation statements)

References 10 publications

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“…5,16 Also here, the electronic nose sensors responded quite strongly to the phase transi- 3(resp) Sensor values from the electronic nose and NIRS are shown in the order of selection by the forward selection procedure. Indices B and FB: models used during batch and fed-batch phase.…”

Section: Mspc Models For Biomassmentioning

confidence: 88%

Online monitoring of a bioprocess based on a multi‐analyser system and multivariate statistical process modelling

Cimander

Mandenius

2002

J of Chemical Tech & Biotech

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Multivariate statistical process control (MSPC) was for the first time applied to analyse data from a bioprocess on-line multi-analyser system consisting of an electronic nose (EN), a near-infrared spectroscope (NIRS), a mass spectrometer (MS) and standard bioreactor probes. One hundred and fifty sensor signals from the electronic nose, 1050 wavelength signals from the NIRS, carbon dioxide evolution rate calculated from mass spectrometer signals and standard bioreactor data (eg amount of substrate fed) were interrogated for their ability to model a bioprocess using MSPC. The models obtained were validated on a recombinant Escherichia coli fed-batch process for tryptophan production. Limiting trajectories were defined in the MSPC models for warning, action, and process experience with respect to biomass and tryptophan concentrations. The results showed the capacity and robustness of MSPC models for monitoring with multi-analysers and allowed a comparison of the different analysers' suitability for this kind of data processing. Furthermore, the results demonstrate that MSPC models provide a functional and versatile framework for coping with large information flows and are also suited to a variety of other bioprocessing monitoring and control tasks.

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Section: Mspc Models For Biomassmentioning

confidence: 88%

Online monitoring of a bioprocess based on a multi‐analyser system and multivariate statistical process modelling

Cimander

Mandenius

2002

J of Chemical Tech & Biotech

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“…Novartis (Bachinger et al, 2000) and others. Bayer launched coagulation factor VIII, the first biopharmaceutical produced by recombinant BHK cells using a continuous perfusion culture obtaining a 30-fold increase in cell density that results in a 30-fold higher yield of factor VIII compared to the batch culture, over a period of 185-day production process.…”

Section: Perfusion Culturementioning

confidence: 99%

Dynamic Modeling of Apoptosis and its Interaction with Cell Growth in Mammalian Cell Culture

Meshram¹,

Naderi²,

Wei³

et al. 2011

IFAC Proceedings Volumes

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“…Section 2.1) is a typical field of application of electronic noses. When a recombinant animal (CHO) cell line was used to produce human blood coagulation factor VIII, cellular state transitions and changes related to product formation were successfully followed [17]. Microbial infections, particularly critical on the production scale, were also detected at an early stage.…”

Section: Heat Balance In the Reactormentioning

confidence: 99%

Scale-up of natural product formation and isolation

Berger¹,

Scheper

Schügerl

2005

Mol. Nutr. Food Res.

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Monitoring cellular state transitions in a production-scale CHO-cell process using an electronic nose

Cited by 37 publications

References 10 publications

Online monitoring of a bioprocess based on a multi‐analyser system and multivariate statistical process modelling

Online monitoring of a bioprocess based on a multi‐analyser system and multivariate statistical process modelling

Dynamic Modeling of Apoptosis and its Interaction with Cell Growth in Mammalian Cell Culture

Scale-up of natural product formation and isolation

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