Literature DB >> 19899122

Multifrequency permittivity measurements enable on-line monitoring of changes in intracellular conductivity due to nutrient limitations during batch cultivations of CHO cells.

Sven Ansorge1, Geoffrey Esteban, Georg Schmid.   

Abstract

Lab and pilot scale batch cultivations of a CHO K1/dhfr(-) host cell line were conducted to evaluate on-line multifrequency permittivity measurements as a process monitoring tool. The beta-dispersion parameters such as the characteristic frequency (f(C)) and the permittivity increment (Deltaepsilon(max)) were calculated on-line from the permittivity spectra. The dual-frequency permittivity signal correlated well with the off-line measured biovolume and the viable cell density. A significant drop in permittivity was monitored at the transition from exponential growth to a phase with reduced growth rate. Although not reflected in off-line biovolume measurements, this decrease coincided with a drop in OUR and was probably caused by the depletion of glutamine and a metabolic shift occurring at the same time. Sudden changes in cell density, cell size, viability, capacitance per membrane area (C(M)), and effects caused by medium conductivity (sigma(m)) could be excluded as reasons for the decrease in permittivity. After analysis of the process data, a drop in f(C) as a result of a fall in intracellular conductivity (sigma(i)) was identified as responsible for the observed changes in the dual-frequency permittivity signal. It is hypothesized that the beta-dispersion parameter f(C) is indicative of changes in nutrient availability that have an impact on intracellular conductivity sigma(i). On-line permittivity measurements consequently not only reflect the biovolume but also the physiological state of mammalian cell cultures. These findings should pave the way for a better understanding of the intracellular state of cells and render permittivity measurements an important tool in process development and control.

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Year:  2010        PMID: 19899122     DOI: 10.1002/btpr.347

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  9 in total

1.  Real-time monitoring of adherent Vero cell density and apoptosis in bioreactor processes.

Authors:  Emma Petiot; Amal El-Wajgali; Geoffrey Esteban; Cécile Gény; Hervé Pinton; Annie Marc
Journal:  Cytotechnology       Date:  2012-02-25       Impact factor: 2.058

2.  On-line monitoring of responses to nutrient feed additions by multi-frequency permittivity measurements in fed-batch cultivations of CHO cells.

Authors:  Sven Ansorge; Geoffrey Esteban; Georg Schmid
Journal:  Cytotechnology       Date:  2010-04-21       Impact factor: 2.058

3.  Introducing process analytical technology (PAT) in filamentous cultivation process development: comparison of advanced online sensors for biomass measurement.

Authors:  Nanna Petersen Rønnest; Stuart M Stocks; Anna Eliasson Lantz; Krist V Gernaey
Journal:  J Ind Microbiol Biotechnol       Date:  2011-04-02       Impact factor: 3.346

4.  In-situ cell density monitoring and apoptosis detection in adherent Vero cell bioreactor cultures.

Authors:  Emma Petiot; Amal El-Wajgali; Geoffrey Esteban; Cécile Gény; Hervé Pinton; Annie Marc
Journal:  BMC Proc       Date:  2011-11-22

5.  Utilization of multifrequency permittivity measurements in addition to biomass monitoring.

Authors:  Christoph Heinrich; Tim Beckmann; Heino Büntemeyer; Thomas Noll
Journal:  BMC Proc       Date:  2011-11-22

6.  Utilization of multifrequency permittivity measurements in addition to biomass monitoring.

Authors:  Christoph Heinrich; Tim Beckmann; Heino Büntemeyer; Thomas Noll
Journal:  BMC Proc       Date:  2011-11-22

7.  A novel approach for using dielectric spectroscopy to predict viable cell volume (VCV) in early process development.

Authors:  Brandon J Downey; Lisa J Graham; Jeffrey F Breit; Nathaniel K Glutting
Journal:  Biotechnol Prog       Date:  2014 Mar-Apr

8.  Dielectric Spectroscopy and Optical Density Measurement for the Online Monitoring and Control of Recombinant Protein Production in Stably Transformed Drosophila melanogaster S2 Cells.

Authors:  Jan Zitzmann; Tobias Weidner; Gerrit Eichner; Denise Salzig; Peter Czermak
Journal:  Sensors (Basel)       Date:  2018-03-18       Impact factor: 3.576

9.  Universal Capacitance Model for Real-Time Biomass in Cell Culture.

Authors:  Viktor Konakovsky; Ali Civan Yagtu; Christoph Clemens; Markus Michael Müller; Martina Berger; Stefan Schlatter; Christoph Herwig
Journal:  Sensors (Basel)       Date:  2015-09-02       Impact factor: 3.576

  9 in total

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