Chemie Ingenieur TechnikVolume 84, Issue 8 p. 1289-1289 PosterFree Access Multisensorsysteme für Einweg-Bioreaktoren S. Henkel, Corresponding Author S. Henkel henkel@iftc.uni-hannover.de Universität Hannover, GermanyUniversität Hannover, GermanySearch for more papers by this authorS. Beutel, S. Beutel Universität Hannover, GermanySearch for more papers by this authorD. Riechers, D. Riechers Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorT. Scheper, T. Scheper Universität Hannover, GermanySearch for more papers by this author S. Henkel, Corresponding Author S. Henkel henkel@iftc.uni-hannover.de Universität Hannover, GermanyUniversität Hannover, GermanySearch for more papers by this authorS. Beutel, S. Beutel Universität Hannover, GermanySearch for more papers by this authorD. Riechers, D. Riechers Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorT. Scheper, T. Scheper Universität Hannover, GermanySearch for more papers by this author First published: 25 July 2012 https://doi.org/10.1002/cite.201250574AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume84, Issue8Special Issue: ProcessNet-Jahrestagung 2012 und 30. Jahrestagung der BiotechnologenAugust, 2012Pages 1289-1289 RelatedInformation

Chemie Ingenieur TechnikVolume 84, Issue 8 p. 1290-1290 PosterFree Access Online-Überwachung von Säugetierzellkultivierungen mittels Nah- und Mittelinfrarotspektroskopie M. Sandor, Corresponding Author M. Sandor sandor@iftc.uni-hannover.de Universität Hannover, GermanyUniversität Hannover, GermanySearch for more papers by this authorF. Rüdinger, F. Rüdinger Universität Hannover, GermanySearch for more papers by this authorR. Bienert, R. Bienert Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorD. Riechers, D. Riechers Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorD. Solle, D. Solle Universität Hannover, GermanySearch for more papers by this authorC. Grimm, C. Grimm Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorT. Scheper, T. Scheper Universität Hannover, GermanySearch for more papers by this author M. Sandor, Corresponding Author M. Sandor sandor@iftc.uni-hannover.de Universität Hannover, GermanyUniversität Hannover, GermanySearch for more papers by this authorF. Rüdinger, F. Rüdinger Universität Hannover, GermanySearch for more papers by this authorR. Bienert, R. Bienert Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorD. Riechers, D. Riechers Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorD. Solle, D. Solle Universität Hannover, GermanySearch for more papers by this authorC. Grimm, C. Grimm Sartorius Stedim Biotech GmbH, Göttingen, GermanySearch for more papers by this authorT. Scheper, T. Scheper Universität Hannover, GermanySearch for more papers by this author First published: 25 July 2012 https://doi.org/10.1002/cite.201250576AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume84, Issue8Special Issue: ProcessNet-Jahrestagung 2012 und 30. Jahrestagung der BiotechnologenAugust, 2012Pages 1290-1290 RelatedInformation

A key parameter in the growth optimization of biological systems is the control of the pH value. The measurement of this parameter is restricted there by the specific requirements of the biology, e. g. sterility of the reactor, and leads to optimized solutions for this applications.

The automated monitoring of cell variables in cultivation processes is a key technology in modern bioscience. In this article an innovative analytical tool for monitoring of cell densities in shaking-flask cultivations--consisting of a flow-through microscope with an automated image analysis software integrated in a FIA sampling system--is presented. This atline multitesting system was optimized by varying the height of the microscopes sampling zone. A calibration of the system was performed by correlating the FIA result peaks to known concentrations of Baker's yeast. It was successfully applied in cell density monitoring of cultivation processes of Saccharomyces cerevisiae with a good correlation with offline methods, and further used to monitor 3 parallel cultivations. This methodology was successfully transferred to Bacillus megaterium cultures and applied to measure the cell densities of parallel cultivation setups of B. megaterium and S. cerevisiae.

Over the last two decades, more and more applications of sophisticated sensor technology have been described in the literature on upstreaming and downstreaming for biotechnological processes (Middendorf et al. J Biotechnol 31:395–403, 1993 ; Lausch et al. J Chromatogr A 654:190–195, 1993 ; Scheper et al. Ann NY Acad Sci 506:431–445, 1987 ), in order to improve the quality and stability of these processes. Generally, biotechnological processes consist of complex three-phase systems—the cells (solid phase) are suspended in medium (liquid phase) and will be streamed by a gas phase. The chemical analysis of such processes has to observe all three phases. Furthermore, the bioanalytical processes used must monitor physical process values (e.g. temperature, shear force), chemical process values (e.g. pH), and biological process values (metabolic state of cell, morphology). In particular, for monitoring and estimation of relevant biological process variables, image-based inline sensors are used increasingly. Of special interest are sensors which can be installed in a bioreactor as sensor probes (e.g. pH probe). The cultivation medium is directly monitored in the process without any need for withdrawal of samples or bypassing. Important variables for the control of such processes are cell count, cell-size distribution (CSD), and the morphology of cells (Höpfner et al. Bioprocess Biosyst Eng 33:247–256, 2010 ). A major impetus for the development of these image-based techniques is the process analytical technology (PAT) initiative of the US Food and Drug Administration (FDA) (Scheper et al. Anal Chim Acta 163:111–118, 1984 ; Reardon and Scheper 1995 ; Schügerl et al. Trends Biotechnol 4:11–15, 1986 ). This contribution gives an overview of non-invasive, image-based, in-situ systems and their applications. The main focus is directed at the wide application area of in-situ microscopes. These inline image analysis systems enable the determination of indirect and direct cell variables in real time without sampling, but also have application potential in crystallization, material analysis, polymer research, and the petrochemical industry. Figure Photo of an In-situ microscope manufactured by Sartorius Stedim Biotech (Göttingen, Germany)

The adsorption of proteins by a smectitic clay mineral was investigated. The clay used in this study is a mixture of montmorillonite and amorphous SiO(2). Due to the high porosity the montmorillonite units are accessible for protein adsorption. The amorphous silica prevents the montmorillonite from swelling and allows column packing. Protein adsorption was performed at different pH under static conditions. Furthermore, static capacities were determined. The material reveals high adsorption capacities for proteins under static conditions (270-408 mg/g), whereby proteins are mainly adsorbed via electrostatic interactions. The Freundlich isotherm is suggested as an adsorption model. For desorption a pH shift was found to be most effective. Binding and elution of human serum albumin and ovalbumin were tested under dynamic conditions. Dynamic capacities of about 40 mg/g for ovalbumin at 764 cm/h were found. The clay mineral provides suitable properties for the application as cost-efficient, alternative separation material.