TY - JOUR
T1 - On-line untargeted metabolomics monitoring of an escherichia coli succinate fermentation process
AU - Cortada-Garcia, Joan
AU - Haggarty, Jennifer
AU - Moses, Tessa
AU - Daly, Rónán
AU - Arnold, Susan Alison
AU - Burgess, Karl
N1 - Funding Information:
This study was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) (grant number BB/R505523/1) and the Industrial Biotechnology Innovation Centre (IBioIC) (grant number 2016‐149). We want to thank Ingenza Ltd. for kindly providing the process details and medium recipe, and particularly to Scott Baxter for providing the succinate producer BW25113 strain and Fraser Brown, Iain McKean, and Philip Weyrauch for running the off‐line HPLC‐UV/Vis‐RI analysis of the fermentation samples. We also want to thank Glasgow Polyomics, especially Erin Manson, Hannah Rankin, Suzanne McGill, and Stefan Weidt for running the off‐line LC‐MS samples of the fermentation samples on the Q Exactive™ Orbitrap mass spectrometer. E. coli
Publisher Copyright:
© 2022 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - 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.
AB - 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.
KW - bioprocess monitoring
KW - fermentation monitoring
KW - on-line metabolomics
KW - real-time metabolomics
KW - succinate
U2 - 10.1002/bit.28173
DO - 10.1002/bit.28173
M3 - Article
C2 - 35798686
AN - SCOPUS:85134029051
SN - 0006-3592
VL - 119
SP - 2757
EP - 2769
JO - Biotechnology and Bioengineering
JF - Biotechnology and Bioengineering
IS - 10
ER -