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On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process

The real‐time monitoring of metabolites (RTMet) is instrumental for the industrial production of biobased fermentation products. This study shows the first application of untargeted on‐line metabolomics for the monitoring of undiluted fermentation broth samples taken automatically from a 5 L bioreac...

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Autores principales: Cortada‐Garcia, Joan, Haggarty, Jennifer, Moses, Tessa, Daly, Rónán, Arnold, Susan Alison, Burgess, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541951/
https://www.ncbi.nlm.nih.gov/pubmed/35798686
http://dx.doi.org/10.1002/bit.28173
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author Cortada‐Garcia, Joan
Haggarty, Jennifer
Moses, Tessa
Daly, Rónán
Arnold, Susan Alison
Burgess, Karl
author_facet Cortada‐Garcia, Joan
Haggarty, Jennifer
Moses, Tessa
Daly, Rónán
Arnold, Susan Alison
Burgess, Karl
author_sort Cortada‐Garcia, Joan
collection PubMed
description The real‐time monitoring of metabolites (RTMet) is instrumental for the industrial production of biobased fermentation products. This study shows the first application of untargeted on‐line metabolomics for the monitoring of undiluted fermentation broth samples taken automatically from a 5 L bioreactor every 5 min via flow injection mass spectrometry. The travel time from the bioreactor to the mass spectrometer was 30 s. Using mass spectrometry allows, on the one hand, the direct monitoring of targeted key process compounds of interest and, on the other hand, provides information on hundreds of additional untargeted compounds without requiring previous calibration data. In this study, this technology was applied in an Escherichia coli succinate fermentation process and 886 different m/z signals were monitored, including key process compounds (glucose, succinate, and pyruvate), potential biomarkers of biomass formation such as (R)‐2,3‐dihydroxy‐isovalerate and (R)‐2,3‐dihydroxy‐3‐methylpentanoate and compounds from the pentose phosphate pathway and nucleotide metabolism, among others. The main advantage of the RTMet technology is that it allows the monitoring of hundreds of signals without the requirement of developing partial least squares regression models, making it a perfect tool for bioprocess monitoring and for testing many different strains and process conditions for bioprocess development.
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spelling pubmed-95419512022-10-14 On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process Cortada‐Garcia, Joan Haggarty, Jennifer Moses, Tessa Daly, Rónán Arnold, Susan Alison Burgess, Karl Biotechnol Bioeng ARTICLES The real‐time monitoring of metabolites (RTMet) is instrumental for the industrial production of biobased fermentation products. This study shows the first application of untargeted on‐line metabolomics for the monitoring of undiluted fermentation broth samples taken automatically from a 5 L bioreactor every 5 min via flow injection mass spectrometry. The travel time from the bioreactor to the mass spectrometer was 30 s. Using mass spectrometry allows, on the one hand, the direct monitoring of targeted key process compounds of interest and, on the other hand, provides information on hundreds of additional untargeted compounds without requiring previous calibration data. In this study, this technology was applied in an Escherichia coli succinate fermentation process and 886 different m/z signals were monitored, including key process compounds (glucose, succinate, and pyruvate), potential biomarkers of biomass formation such as (R)‐2,3‐dihydroxy‐isovalerate and (R)‐2,3‐dihydroxy‐3‐methylpentanoate and compounds from the pentose phosphate pathway and nucleotide metabolism, among others. The main advantage of the RTMet technology is that it allows the monitoring of hundreds of signals without the requirement of developing partial least squares regression models, making it a perfect tool for bioprocess monitoring and for testing many different strains and process conditions for bioprocess development. John Wiley and Sons Inc. 2022-07-15 2022-10 /pmc/articles/PMC9541951/ /pubmed/35798686 http://dx.doi.org/10.1002/bit.28173 Text en © 2022 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle ARTICLES
Cortada‐Garcia, Joan
Haggarty, Jennifer
Moses, Tessa
Daly, Rónán
Arnold, Susan Alison
Burgess, Karl
On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title_full On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title_fullStr On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title_full_unstemmed On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title_short On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process
title_sort on‐line untargeted metabolomics monitoring of an escherichia coli succinate fermentation process
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541951/
https://www.ncbi.nlm.nih.gov/pubmed/35798686
http://dx.doi.org/10.1002/bit.28173
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