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      Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes

      , 1 , 1 , 1 , 1 , 1

      BMC Proceedings

      BioMed Central

      23rd European Society for Animal Cell Technology (ESACT) Meeting: Better Cells for Better Health

      23-26 June 2013

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          Abstract

          Cell physiology dynamically affects the nutrient requirements of a culture. It is critical to obtain data over appropriate time intervals to assess the impact of process conditions on the cell population. By optimizing bioreactor operation, feed strategies and media composition, we can limit the number of experiments to obtain the empirical data sets. For this poster, we present an emerging process-development methodology that is based on applying novel and existing bioreactor monitoring technologies, coupled with applied mathematics, to bioreactor processes. This approach employs tools like dielectric spectroscopy, aseptic autosamplers, and cell-based bioreactor models. We will illustrate how information gained from these tools can be coupled through utilization of the proper data integration and applied mathematics techniques. The knowledge gained using this improved process development methodology also supports a less-invasive monitoring and feedback system, and can be implemented using a customized bioreactor control code.

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          Author and article information

          Contributors
          Conference
          BMC Proc
          BMC Proc
          BMC Proceedings
          BioMed Central
          1753-6561
          2013
          4 December 2013
          : 7
          : Suppl 6
          : P115
          Affiliations
          [1 ]Bend Research Inc
          1753-6561-7-S6-P115
          10.1186/1753-6561-7-S6-P115
          3981123
          Copyright © 2013 Graham et al.; licensee BioMed Central Ltd.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

          23rd European Society for Animal Cell Technology (ESACT) Meeting: Better Cells for Better Health
          Lille, France
          23-26 June 2013
          Categories
          Poster Presentation

          Medicine

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