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A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540504/ https://www.ncbi.nlm.nih.gov/pubmed/28764719 http://dx.doi.org/10.1186/s12934-017-0749-y |
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author | Eggenreich, Britta Rajamanickam, Vignesh Wurm, David Johannes Fricke, Jens Herwig, Christoph Spadiut, Oliver |
author_facet | Eggenreich, Britta Rajamanickam, Vignesh Wurm, David Johannes Fricke, Jens Herwig, Christoph Spadiut, Oliver |
author_sort | Eggenreich, Britta |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5540504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55405042017-08-07 A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization Eggenreich, Britta Rajamanickam, Vignesh Wurm, David Johannes Fricke, Jens Herwig, Christoph Spadiut, Oliver Microb Cell Fact Technical Notes 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. BioMed Central 2017-08-01 /pmc/articles/PMC5540504/ /pubmed/28764719 http://dx.doi.org/10.1186/s12934-017-0749-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Technical Notes Eggenreich, Britta Rajamanickam, Vignesh Wurm, David Johannes Fricke, Jens Herwig, Christoph Spadiut, Oliver A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title | A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title_full | A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title_fullStr | A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title_full_unstemmed | A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title_short | A combination of HPLC and automated data analysis for monitoring the efficiency of high-pressure homogenization |
title_sort | combination of hplc and automated data analysis for monitoring the efficiency of high-pressure homogenization |
topic | Technical Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540504/ https://www.ncbi.nlm.nih.gov/pubmed/28764719 http://dx.doi.org/10.1186/s12934-017-0749-y |
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