On-line control of an immobilized hybridoma culture with multi-channel flow injection analysis

Pol, J.J. van der; Joksch, B.; Gätgens, Jochem; Biselli, M.; Gooijer, C.D. de; Tramper, J.; Wandrey, Christian

doi:10.1016/0168-1656(95)00143-3

Cited by 11 publications

(4 citation statements)

References 34 publications

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“…Alternatively, the process information can be improved by increasing sampling frequency with automated flow injection analysis. Such control systems (Van der Pol et al, 1995;Konstantinov et al, 1996;Ozturk et al, 1997) resulted in <1 mM substrate concentrations variations.…”

Section: Introductionmentioning

confidence: 99%

“…Konstantinov et al (1996) described controller logic, manipulating the process at the same high frequency it was sampled, such that process noise caused oscillatory control. Van der Pol et al (1995) sampled the process at similar high frequencies, but averaged information and manipulated the process at lower frequencies, improving the basis upon which to manipulate the process. Alternatively in Dowd et al (1999), the control performance was designed a priori and, using predictive models so that from daily sampling, up to 8 manipulations of the process flow rate were performed per day.…”

Section: Introductionmentioning

confidence: 99%

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et al. 2003

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Consistent perfusion culture production requires reliable cell retention and control of feed rates. An on-line cell probe based on capacitance was used to assay viable biomass concentrations. A constant cell specific perfusion rate controlled medium feed rates with a bioreactor cell concentration of approximately 5 x 10(6) cells mL(-1). Perfusion feeding was automatically adjusted based on the cell concentration signal from the on-line biomass sensor. Cell specific perfusion rates were varied over a range of 0.05 to 0.4 nL cell(-1) day(-1). Pseudo-steady-state bioreactor indices (concentrations, cellular rates and yields) were correlated to cell specific perfusion rates investigated to maximize recombinant protein production from a Chinese hamster ovary cell line. The tissue-type plasminogen activator concentration was maximized ( approximately 40 mg L(-1)) at 0.2 nL cell(-1) day(-1). The volumetric protein productivity ( approximately 60 mg L(-1) day(-1) was maximized above 0.3 nL cell(-1) day(-1). The use of cell specific perfusion rates provided a straightforward basis for controlling, modeling and optimizing perfusion cultures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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et al. 2003

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“…12,13 Hybridoma cells have been immobilized in different matrices such as calcium alginate beads, 14 alginatepoly-L-lysine (alginate-PLL) microcapsules, 11 polyacrylate-alginate gels, 15 agarose beads, 16 polyester fibrous matrices, 17 criogel matrices composed of polyacrylamide-chitosan (PAAC), poly (N-isopropylacrylamide)-chitosan polyacrylonitrile (PAN), and poly(N-isopropylacrylamide) 18 or adsorbed on open porous carriers made of borosilicate glass. 19 Sol-gel technology consists in the polymerization of inorganic silica precursors taking place in mild, biocompatible conditions and has proved to be a suitable tool for the immobilization of biomolecules, [20][21][22] microorganisms, [23][24][25][26][27][28][29][30][31] parasites, 32,33 algae 34,35 and plant cells. 36 Furthermore, these inorganic matrices have also been successfully used for the entrapment of animal cells.…”

Section: Introductionmentioning

confidence: 99%

Production of monoclonal antibodies from hybridoma cells immobilized in 3D sol–gel silica matrices

et al. 2011

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“…This is due to the fact that no process analyzer for glucose exists that is able to provide the result without significant time delay and measurement noise. Flow injection analysis (FIA) systems, which are used frequently for on-line measurements of glucose (4,5), require a sampling module, but these sampling modules produce a time delay of more than 3 min (6). A total time delay including the determination of the measurement of more than 5 min is quite usual, which when controlling a substrate concentration at a low set point (i.e., 0.1 g/L or less) during fed-batch is very long.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Based Glucose Control at Small Set Points during Fed-Batch Cultivation of Saccharomyces cerevisiae

Arndt

Hitzmann

2008

Biotechnol Progress

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A glucose control system is presented, which is able to control cultivations of Saccharomyces cerevisiae even at low glucose concentrations. Glucose concentrations are determined using a special flow injection analysis (FIA) system, which does not require a sampling module. An extended Kalman filter is employed for smoothing the glucose measurements as well as for the prediction of glucose and biomass concentration, the maximum specific growth rate, and the volume of the culture broth. The predicted values are utilized for feedforward/feedback control of the glucose concentration at set points of 0.08 and 0.05 g/L. The controller established well-defined conditions over several hours up to biomass concentrations of 13.5 and 20.7 g/L, respectively. The specific glucose uptake rates at both set points were 1.04 and 0.68 g/g/h, respectively. It is demonstrated that during fed-batch cultivation an overall pure oxidative metabolism of glucose is maintained at the lower set point and a specific ethanol production rate of 0.18 g/g/h at the higher set point.

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On-line control of an immobilized hybridoma culture with multi-channel flow injection analysis

Cited by 11 publications

References 34 publications

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Production of monoclonal antibodies from hybridoma cells immobilized in 3D sol–gel silica matrices

Kalman Filter Based Glucose Control at Small Set Points during Fed-Batch Cultivation of Saccharomyces cerevisiae

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