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An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry

[Image: see text] The life-critical matrices of air and water are among the most complex chemical mixtures that are ever encountered. Ultrahigh-resolution mass spectrometers, such as the Orbitrap, provide unprecedented analytical capabilities to probe the molecular composition of such matrices, but...

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Autores principales: Pereira, Kelly L., Ward, Martyn W., Wilkinson, John L., Sallach, Jonathan Brett, Bryant, Daniel J., Dixon, William J., Hamilton, Jacqueline F., Lewis, Alastair C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277131/
https://www.ncbi.nlm.nih.gov/pubmed/34006107
http://dx.doi.org/10.1021/acs.est.0c08208
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author Pereira, Kelly L.
Ward, Martyn W.
Wilkinson, John L.
Sallach, Jonathan Brett
Bryant, Daniel J.
Dixon, William J.
Hamilton, Jacqueline F.
Lewis, Alastair C.
author_facet Pereira, Kelly L.
Ward, Martyn W.
Wilkinson, John L.
Sallach, Jonathan Brett
Bryant, Daniel J.
Dixon, William J.
Hamilton, Jacqueline F.
Lewis, Alastair C.
author_sort Pereira, Kelly L.
collection PubMed
description [Image: see text] The life-critical matrices of air and water are among the most complex chemical mixtures that are ever encountered. Ultrahigh-resolution mass spectrometers, such as the Orbitrap, provide unprecedented analytical capabilities to probe the molecular composition of such matrices, but the extraction of non-targeted chemical information is impractical to perform via manual data processing. Automated non-targeted tools rapidly extract the chemical information of all detected compounds within a sample dataset. However, these methods have not been exploited in the environmental sciences. Here, we provide an automated and (for the first time) rigorously tested methodology for the non-targeted compositional analysis of environmental matrices using coupled liquid chromatography–mass spectrometric data. First, the robustness and reproducibility was tested using authentic standards, evaluating performance as a function of concentration, ionization potential, and sample complexity. The method was then used for the compositional analysis of particulate matter and surface waters collected from worldwide locations. The method detected >9600 compounds in the individual environmental samples, arising from critical pollutant sources, including carcinogenic industrial chemicals, pesticides, and pharmaceuticals among others. This methodology offers considerable advances in the environmental sciences, providing a more complete assessment of sample compositions while significantly increasing throughput.
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spelling pubmed-82771312021-07-14 An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry Pereira, Kelly L. Ward, Martyn W. Wilkinson, John L. Sallach, Jonathan Brett Bryant, Daniel J. Dixon, William J. Hamilton, Jacqueline F. Lewis, Alastair C. Environ Sci Technol [Image: see text] The life-critical matrices of air and water are among the most complex chemical mixtures that are ever encountered. Ultrahigh-resolution mass spectrometers, such as the Orbitrap, provide unprecedented analytical capabilities to probe the molecular composition of such matrices, but the extraction of non-targeted chemical information is impractical to perform via manual data processing. Automated non-targeted tools rapidly extract the chemical information of all detected compounds within a sample dataset. However, these methods have not been exploited in the environmental sciences. Here, we provide an automated and (for the first time) rigorously tested methodology for the non-targeted compositional analysis of environmental matrices using coupled liquid chromatography–mass spectrometric data. First, the robustness and reproducibility was tested using authentic standards, evaluating performance as a function of concentration, ionization potential, and sample complexity. The method was then used for the compositional analysis of particulate matter and surface waters collected from worldwide locations. The method detected >9600 compounds in the individual environmental samples, arising from critical pollutant sources, including carcinogenic industrial chemicals, pesticides, and pharmaceuticals among others. This methodology offers considerable advances in the environmental sciences, providing a more complete assessment of sample compositions while significantly increasing throughput. American Chemical Society 2021-05-18 2021-06-01 /pmc/articles/PMC8277131/ /pubmed/34006107 http://dx.doi.org/10.1021/acs.est.0c08208 Text en © 2021 The Authors. Published by American Chemical Society Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Pereira, Kelly L.
Ward, Martyn W.
Wilkinson, John L.
Sallach, Jonathan Brett
Bryant, Daniel J.
Dixon, William J.
Hamilton, Jacqueline F.
Lewis, Alastair C.
An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title_full An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title_fullStr An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title_full_unstemmed An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title_short An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry
title_sort an automated methodology for non-targeted compositional analysis of small molecules in high complexity environmental matrices using coupled ultra performance liquid chromatography orbitrap mass spectrometry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277131/
https://www.ncbi.nlm.nih.gov/pubmed/34006107
http://dx.doi.org/10.1021/acs.est.0c08208
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