Literature DB >> 19725111

Case study and application of process analytical technology (PAT) towards bioprocessing: Use of tryptophan fluorescence as at-line tool for making pooling decisions for process chromatography.

Anurag S Rathore1, Xiaohui Li, Wojciech Bartkowski, Ashutosh Sharma, Yuefeng Lu.   

Abstract

Process analytical technology (PAT) has been gaining momentum in the biopharmaceutical community due to the potential for continuous real time quality assurance resulting in improved operational control and compliance. Two imperatives for implementing any PAT tool are that "variability is managed by the process" and "product quality attributes can be accurately and reliably predicted over the design space established for materials used, process parameters, manufacturing, environmental, and other conditions." Recently, we have been examining the feasibility of applying different analytical tools to bioprocessing unit operations. We have previously demonstarted that commercially available online-high performance liquid chromatography and ultra performance liquid chromatography systems can be used for analysis that can facilitate real-time decisions for column pooling based on product quality attributes (Rathore et al., 2008a,b). In this article, we review an at-line tool that can be used for pooling of process chromatography columns. We have demonstrated that our tryptophan fluorescence method offers a feasible approach and meets the requirements of a PAT application. It is significantly faster than the alternative of fractionation, offline analysis followed by pooling. Although the method as presented here is not an online method, this technique may offer better resolution for certain applications and may be a more optimal approach as it is very conducive to implementation in a manufacturing environment. This technique is also amenable to be used as an online tool via front face fluorescence measurements done concurrently with product concentration determination by UV. 2009 American Institute of Chemical Engineers Biotechnol.

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Year:  2009        PMID: 19725111     DOI: 10.1002/btpr.212

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  1 in total

1.  Real-time monitoring and model-based prediction of purity and quantity during a chromatographic capture of fibroblast growth factor 2.

Authors:  Dominik Georg Sauer; Michael Melcher; Magdalena Mosor; Nicole Walch; Matthias Berkemeyer; Theresa Scharl-Hirsch; Friedrich Leisch; Alois Jungbauer; Astrid Dürauer
Journal:  Biotechnol Bioeng       Date:  2019-04-17       Impact factor: 4.530

  1 in total

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