Print Email Facebook Twitter Chromatographic parameter determination for complex biological feedstocks Title Chromatographic parameter determination for complex biological feedstocks Author Pirrung, S.M. (TU Delft BT/Bioprocess Engineering) Parruca Da Cruz, D.E. (TU Delft BT/Design and Engineering Education) Hanke, A.T. (TU Delft BT/Bioprocess Engineering) Berends, C. (TU Delft Applied Sciences) Van Beckhoven, Ruud F.W.C. (DSM) Eppink, Michel H.M. (Synthon Biopharmaceuticals B.V.) Ottens, M. (TU Delft BT/Bioprocess Engineering) Faculty Applied Sciences Date 2018 Abstract The application of mechanistic models for chromatography requires accurate model parameters. Especially for complex feedstocks such as a clarified cell harvest, this can still be an obstacle limiting the use of mechanistic models. Another commonly encountered obstacle is a limited amount of sample material and time to determine all needed parameters. Therefore, this study aimed at implementing an approach on a robotic liquid handling system that starts directly with a complex feedstock containing a monoclonal antibody. The approach was tested by comparing independent experimental data sets with predictions generated by the mechanistic model using all parameters determined in this study. An excellent agreement between prediction and experimental data was found verifying the approach. Thus, it can be concluded that RoboColumns with a bed volume of 200 μL can well be used to determine isotherm parameters for predictions of larger scale columns. Overall, this approach offers a new way to determine crucial model input parameters for mechanistic modelling of chromatography for complex biological feedstocks. Subject chromatographydownstream processing (DSP)high-throughput process development (HTPD)mechanistic modeling To reference this document use: http://resolver.tudelft.nl/uuid:cecae385-34a5-41ae-bf20-a58d77123ff9 DOI https://doi.org/10.1002/btpr.2642 ISSN 8756-7938 Source Biotechnology Progress, 34 (4), 1006-1018 Part of collection Institutional Repository Document type journal article Rights © 2018 S.M. Pirrung, D.E. Parruca Da Cruz, A.T. Hanke, C. Berends, Ruud F.W.C. Van Beckhoven, Michel H.M. Eppink, M. Ottens Files PDF Pirrung_et_al_2018_Biotec ... ogress.pdf 981.14 KB Close viewer /islandora/object/uuid:cecae385-34a5-41ae-bf20-a58d77123ff9/datastream/OBJ/view