Development of High‐Pressure Mass Spectrometry for Handheld and Benchtop Analyzers

Blakeman, Kenion H.; Miller, Scott E.

doi:10.1002/9781119636489.ch16

Cited by 2 publications

(1 citation statement)

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“…Due to the increasing demand for tools to monitor metabolites, a range of commercial bioprocess analyzers has been developed in the last couple of decades. Some of these are based on enzymatic analysis—such as the Cedex Bio® Analyzer (Roche) and the BioProfile FLEX2 (Nova biomedical) (Morris et al, 2021; Obaidi et al, 2021)—while others use the so‐called “miniaturized” MS analyzers—such as the MiD (Microsaic) and the Rebel (908 devices) (Hamilton et al, 2014; Synoground et al, 2021), employing a low‐resolution quadrupole and ion trap mass analyzers, respectively (Blakeman & Miller, 2021; Hemida et al, 2021). However, these analyzers are still almost exclusively being used at‐line or off‐line—thus limiting their monitoring potential—and only targeting the predefined set of compounds dictated by the vendor reagents.…”

Section: Introductionmentioning

confidence: 99%

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

Cortada-Garcia

Haggarty

Moses

et al. 2022

Biotech & Bioengineering

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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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