A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization

Microbial Cell Factories

David Johannes Wurm¹  Britta Eggenreich¹  Jens Fricke¹  Christoph Herwig¹  Vignesh Rajamanickam¹  Oliver Spadiut¹ 

[1] Research Division Biochemical Engineering, Institute of Chemical, Environmental and Biological Engineering, TU Wien;

关键词: Cell disruption;    High-pressure homogenization;    E.coli;    HPLC;    Data analysis;   

DOI  :  10.1186/s12934-017-0749-y

来源: DOAJ

【 摘 要 】

Abstract Background Cell disruption is a key unit operation to make valuable, intracellular target products accessible for further downstream unit operations. Independent of the applied cell disruption method, each cell disruption process must be evaluated with respect to disruption efficiency and potential product loss. Current state-of-the-art methods, like measuring the total amount of released protein and plating-out assays, are usually time-delayed and involve manual intervention making them error-prone. An automated method to monitor cell disruption efficiency at-line is not available to date. Results In the current study we implemented a methodology, which we had originally developed to monitor E. coli cell integrity during bioreactor cultivations, to automatically monitor and evaluate cell disruption of a recombinant E. coli strain by high-pressure homogenization. We compared our tool with a library of state-of-the-art methods, analyzed the effect of freezing the biomass before high-pressure homogenization and finally investigated this unit operation in more detail by a multivariate approach. Conclusion A combination of HPLC and automated data analysis describes a valuable, novel tool to monitor and evaluate cell disruption processes. Our methodology, which can be used both in upstream (USP) and downstream processing (DSP), describes a valuable tool to evaluate cell disruption processes as it can be implemented at-line, gives results within minutes after sampling and does not need manual intervention.

【 授权许可】

Unknown