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A system suitability testing platform for untargeted, high-resolution mass spectrometry

The broad coverage of untargeted metabolomics poses fundamental challenges for the harmonization of measurements along time, even if they originate from the very same instrument. Internal isotopic standards can hardly cover the chemical complexity of study samples. Therefore, they are insufficient f...

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Detalles Bibliográficos
Autores principales: Dmitrenko, Andrei, Reid, Michelle, Zamboni, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592825/
https://www.ncbi.nlm.nih.gov/pubmed/36304928
http://dx.doi.org/10.3389/fmolb.2022.1026184
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author Dmitrenko, Andrei
Reid, Michelle
Zamboni, Nicola
author_facet Dmitrenko, Andrei
Reid, Michelle
Zamboni, Nicola
author_sort Dmitrenko, Andrei
collection PubMed
description The broad coverage of untargeted metabolomics poses fundamental challenges for the harmonization of measurements along time, even if they originate from the very same instrument. Internal isotopic standards can hardly cover the chemical complexity of study samples. Therefore, they are insufficient for normalizing data a posteriori as done for targeted metabolomics. Instead, it is crucial to verify instrument’s performance a priori, that is, before samples are injected. Here, we propose a system suitability testing platform for time-of-flight mass spectrometers independent of liquid chromatography. It includes a chemically defined quality control mixture, a fast acquisition method, software for extracting ca. 3,000 numerical features from profile data, and a simple web service for monitoring. We ran a pilot for 21 months and present illustrative results for anomaly detection or learning causal relationships between the spectral features and machine settings. Beyond mere detection of anomalies, our results highlight several future applications such as 1) recommending instrument retuning strategies to achieve desired values of quality indicators, 2) driving preventive maintenance, and 3) using the obtained, detailed spectral features for posterior data harmonization.
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spelling pubmed-95928252022-10-26 A system suitability testing platform for untargeted, high-resolution mass spectrometry Dmitrenko, Andrei Reid, Michelle Zamboni, Nicola Front Mol Biosci Molecular Biosciences The broad coverage of untargeted metabolomics poses fundamental challenges for the harmonization of measurements along time, even if they originate from the very same instrument. Internal isotopic standards can hardly cover the chemical complexity of study samples. Therefore, they are insufficient for normalizing data a posteriori as done for targeted metabolomics. Instead, it is crucial to verify instrument’s performance a priori, that is, before samples are injected. Here, we propose a system suitability testing platform for time-of-flight mass spectrometers independent of liquid chromatography. It includes a chemically defined quality control mixture, a fast acquisition method, software for extracting ca. 3,000 numerical features from profile data, and a simple web service for monitoring. We ran a pilot for 21 months and present illustrative results for anomaly detection or learning causal relationships between the spectral features and machine settings. Beyond mere detection of anomalies, our results highlight several future applications such as 1) recommending instrument retuning strategies to achieve desired values of quality indicators, 2) driving preventive maintenance, and 3) using the obtained, detailed spectral features for posterior data harmonization. Frontiers Media S.A. 2022-10-11 /pmc/articles/PMC9592825/ /pubmed/36304928 http://dx.doi.org/10.3389/fmolb.2022.1026184 Text en Copyright © 2022 Dmitrenko, Reid and Zamboni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Dmitrenko, Andrei
Reid, Michelle
Zamboni, Nicola
A system suitability testing platform for untargeted, high-resolution mass spectrometry
title A system suitability testing platform for untargeted, high-resolution mass spectrometry
title_full A system suitability testing platform for untargeted, high-resolution mass spectrometry
title_fullStr A system suitability testing platform for untargeted, high-resolution mass spectrometry
title_full_unstemmed A system suitability testing platform for untargeted, high-resolution mass spectrometry
title_short A system suitability testing platform for untargeted, high-resolution mass spectrometry
title_sort system suitability testing platform for untargeted, high-resolution mass spectrometry
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592825/
https://www.ncbi.nlm.nih.gov/pubmed/36304928
http://dx.doi.org/10.3389/fmolb.2022.1026184
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