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Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods

Non-targeted analysis (NTA) using high-resolution mass spectrometry has enabled the detection and identification of unknown and unexpected compounds of interest in a wide range of sample matrices. Despite these benefits of NTA methods, standardized procedures do not yet exist for assessing performan...

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Autores principales: Fisher, Christine M., Peter, Katherine T., Newton, Seth R., Schaub, Andrew J., Sobus, Jon R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411239/
https://www.ncbi.nlm.nih.gov/pubmed/35796784
http://dx.doi.org/10.1007/s00216-022-04203-3
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author Fisher, Christine M.
Peter, Katherine T.
Newton, Seth R.
Schaub, Andrew J.
Sobus, Jon R.
author_facet Fisher, Christine M.
Peter, Katherine T.
Newton, Seth R.
Schaub, Andrew J.
Sobus, Jon R.
author_sort Fisher, Christine M.
collection PubMed
description Non-targeted analysis (NTA) using high-resolution mass spectrometry has enabled the detection and identification of unknown and unexpected compounds of interest in a wide range of sample matrices. Despite these benefits of NTA methods, standardized procedures do not yet exist for assessing performance, limiting stakeholders’ abilities to suitably interpret and utilize NTA results. Herein, we first summarize existing performance assessment metrics for targeted analyses to provide context and clarify terminology that may be shared between targeted and NTA methods (e.g., terms such as accuracy, precision, sensitivity, and selectivity). We then discuss promising approaches for assessing NTA method performance, listing strengths and key caveats for each approach, and highlighting areas in need of further development. To structure the discussion, we define three types of NTA study objectives: sample classification, chemical identification, and chemical quantitation. Qualitative study performance (i.e., focusing on sample classification and/or chemical identification) can be assessed using the traditional confusion matrix, with some challenges and limitations. Quantitative study performance can be assessed using estimation procedures developed for targeted methods with consideration for additional sources of uncontrolled experimental error. This article is intended to stimulate discussion and further efforts to develop and improve procedures for assessing NTA method performance. Ultimately, improved performance assessments will enable accurate communication and effective utilization of NTA results by stakeholders. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-04203-3.
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spelling pubmed-94112392022-08-27 Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods Fisher, Christine M. Peter, Katherine T. Newton, Seth R. Schaub, Andrew J. Sobus, Jon R. Anal Bioanal Chem Research Paper Non-targeted analysis (NTA) using high-resolution mass spectrometry has enabled the detection and identification of unknown and unexpected compounds of interest in a wide range of sample matrices. Despite these benefits of NTA methods, standardized procedures do not yet exist for assessing performance, limiting stakeholders’ abilities to suitably interpret and utilize NTA results. Herein, we first summarize existing performance assessment metrics for targeted analyses to provide context and clarify terminology that may be shared between targeted and NTA methods (e.g., terms such as accuracy, precision, sensitivity, and selectivity). We then discuss promising approaches for assessing NTA method performance, listing strengths and key caveats for each approach, and highlighting areas in need of further development. To structure the discussion, we define three types of NTA study objectives: sample classification, chemical identification, and chemical quantitation. Qualitative study performance (i.e., focusing on sample classification and/or chemical identification) can be assessed using the traditional confusion matrix, with some challenges and limitations. Quantitative study performance can be assessed using estimation procedures developed for targeted methods with consideration for additional sources of uncontrolled experimental error. This article is intended to stimulate discussion and further efforts to develop and improve procedures for assessing NTA method performance. Ultimately, improved performance assessments will enable accurate communication and effective utilization of NTA results by stakeholders. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-04203-3. Springer Berlin Heidelberg 2022-07-07 2022 /pmc/articles/PMC9411239/ /pubmed/35796784 http://dx.doi.org/10.1007/s00216-022-04203-3 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Fisher, Christine M.
Peter, Katherine T.
Newton, Seth R.
Schaub, Andrew J.
Sobus, Jon R.
Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title_full Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title_fullStr Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title_full_unstemmed Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title_short Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
title_sort approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411239/
https://www.ncbi.nlm.nih.gov/pubmed/35796784
http://dx.doi.org/10.1007/s00216-022-04203-3
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