University of North Florida
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Stuart Chalk, Ph.D.
Department of Chemistry
University of North Florida
Phone: 1-904-620-1938
Fax: 1-904-620-3535
Email: schalk@unf.edu
Website: @unf

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Jens J. van der Pol

Abbrev:
Van Der Pol, J.J.
Other Names:
Address:
Nestlé R&D Center, Orbe, Section Bioprocessing, CH-1350, Orbe, Switzerland
Phone:
NA
Fax:
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Citations 3

"Automation Of Selective Assays For Online Bioprocess Monitoring By Flow Injection Analysis"
Trends Biotechnol. 1996 Volume 14, Issue 12 Pages 471-477
Jens J. van der Pol, Cornelis D. de Gooijer, Manfred Biselli, Christian Wandrey and Johannes Tramper

Abstract: Online analysis of one component in a complex media used for bioprocesses requires the application of selective tests such as enzymes assays. Because these assays are susceptible to interference by other medium components and have a limited detection range, automatic sample pretreatment is a prerequisite. The progress made with automatic sample pretreatment in flow injection analysis makes this technique particularly suitable for online monitoring of bioprocesses. Moreover, newly developed software control systems may improve the necessary robustness of flow-infection analysis systems.
Biotechnology Interferences Process monitoring

"Online Control Of An Immobilized Hybridoma Culture With Multi-channel Flow Injection Analysis"
J. Biotechnol. 1995 Volume 43, Issue 3 Pages 229-242
Jens J. van der Pol*, Burkhard Joksch, Jochem Galgens, Manfred Biselli, Cornells D. de Gooijer, Johannes Tramper and Christian Wandrey

Abstract: An immobilized hybridoma cell line was cultivated at controlled glucose and glutamine concentrations. Online analysis of the substrates was carried out with a multi-channel flow injection analysis system. The analysis system also determined online the lactate and ammonium concentration. The substrate concentrations were controlled using an adaptive-control strategy. This strategy consisted of the estimation of the real-time concentrations and volumetric substrate consumption rates by an Extended Kalman Filter, and a minimum variance controller, which used the estimated parameters to set the feed rates of the substrates. The closed-loop control was used to start-up two cultures with either glucose or glutamine as control-substrate for the medium feed rate. The controller kept the concentration of the control-substrate constant by enhancing the medium feed rate simultaneously to the increasing volumetric consumption rate of the substrate. When glutamine was used as control-substrate, the glucose concentration remained relatively constant, whereas the glutamine concentration decreased during the start-up at a constant glucose concentration. This indicates that glutamine is consumed faster than glucose and will be a better control- substrate to avoid limitation during the start-up of a culture with the applied hybridoma cell line. During the colonization of the microcarriers, the yield of ammonium on glutamine decreased from 0.80 to 0.55 (mol mol-1), indicating a change in the glutamine metabolism. The yield of lactate on glucose stayed constant for both experiments. During long-term culture of more than 800 h, the controller kept both the glucose and glutamine concentrations constant at perfusion rates between 0.50 h-1 and 0.15 h-1. The medium, glucose and glutamine feed rate were independently controlled. Both the specific glutamine and glucose consumption rates remained constant for all perfusion rates, which was probably as a result of the constant concentrations. The specific monoclonal antibody production rate decreased with the perfusion rate decreasing from 0.40 h-1 to 0.20 h-1. The immobilized- cell concentration decreased only at the lowest perfusion rate. Both effects could not be explained directly by the increasing ammonium and lactate concentrations nor by the decreasing amino-acid concentrations. (37 references)
Glucose Glutamine Lactate Ammonium Fermentation broth Biotechnology Immobilized cell Kalman filter Perfusion Interferences Reactor Multichannel

"Online Monitoring Of An Animal Cell Culture With Multi-channel Flow Injection Analysis"
J. Biotechnol. 1994 Volume 37, Issue 3 Pages 253-264
Jens J. van der Pola,*, Uwe Spohnb, Rolf Eberhardta, Jochem Gaetgensa, Manfred Bisellia, Christian Wandreya and Johannes Tramperc

Abstract: A multi-channel flow injection analysis system was used for online monitoring of a continuous animal cell culture with high cell density. With this system, the glucose, lactate and glutamine concentration were determined using immobilized dehydrogenases, ammonium using an aqueous o-phthaldialdehyde solution. Glutamine concentration was determined on the basis of the difference between a glutamine and a glutamate measurement. To prevent disturbance of the measurement and pollution of the system, the analytes in the sample were separated from high molecular compounds by online dialysis. Online gas dialysis was used to avoid interference of other amino groups with the ammonium determination. In addition, dialysis was used as a dilution step. The measurement time for all four components was 42 min. This time included a final washing period after the analysis cycle. The system was calibrated once a day. Two continuous cultivations of a hybridoma cell line immobilized in open-porous glass carriers were monitored, using a fluidized bed reactor as cultivation system. The concentration of glutamine, glucose and ammonium determined with the online FIA system were in good agreement with the off-line data determined once a day. Only the lactate data showed some deviation. The immobilized enzyme reactors could be used for up to 3000-5000 injections. During the first cultivation, lasting 200 h, the start up period of the reactor was monitored. The online measurements described much better the time- course of the concentrations than the off-line data. It was possible to estimate the growth rate of the cells in the micro-carriers by the on- line data. In the course of the second cultivation, which lasted almost 1000 h, the influence of the dissolved oxygen concentration on the cell metabolism was monitored. It was noted that a sudden change of the glutamine concentration in the feed caused a fast change of the consumption and production rate of the measured metabolites.
Glucose Lactate Glutamine Feed Fermentation broth Biotechnology Immobilized enzyme Method comparison Process monitoring Interferences Dialysis Multichannel