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      Critical Assessment of the Chemical Space Covered by LC–HRMS Non-Targeted Analysis

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          Abstract

          Non-targeted analysis (NTA) has emerged as a valuable approach for the comprehensive monitoring of chemicals of emerging concern (CECs) in the exposome. The NTA approach can theoretically identify compounds with diverse physicochemical properties and sources. Even though they are generic and have a wide scope, non-targeted analysis methods have been shown to have limitations in terms of their coverage of the chemical space, as the number of identified chemicals in each sample is very low (e.g., ≤5%). Investigating the chemical space that is covered by each NTA assay is crucial for understanding the limitations and challenges associated with the workflow, from the experimental methods to the data acquisition and data processing techniques. In this review, we examined recent NTA studies published between 2017 and 2023 that employed liquid chromatography–high-resolution mass spectrometry. The parameters used in each study were documented, and the reported chemicals at confidence levels 1 and 2 were retrieved. The chosen experimental setups and the quality of the reporting were critically evaluated and discussed. Our findings reveal that only around 2% of the estimated chemical space was covered by the NTA studies investigated for this review. Little to no trend was found between the experimental setup and the observed coverage due to the generic and wide scope of the NTA studies. The limited coverage of the chemical space by the reviewed NTA studies highlights the necessity for a more comprehensive approach in the experimental and data processing setups in order to enable the exploration of a broader range of chemical space, with the ultimate goal of protecting human and environmental health. Recommendations for further exploring a wider range of the chemical space are given.

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          The Lancet Commission on pollution and health

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            MassBank: a public repository for sharing mass spectral data for life sciences.

            MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron-ionization mass spectrometry (EI-MS), 137 fast atom bombardment MS and 9276 electrospray ionization (ESI)-MS(n) data of 2337 authentic compounds of metabolites, 11 545 EI-MS and 834 other-MS data of 10,286 volatile natural and synthetic compounds, and 3045 ESI-MS(2) data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS(2) data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass-to-charge ratio are optimized to the ESI-MS(2) data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS(2) data on an identical compound under different collision-induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21-23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. 2010 John Wiley & Sons, Ltd.
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              Identifying small molecules via high resolution mass spectrometry: communicating confidence.

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                Author and article information

                Journal
                Environ Sci Technol
                Environ Sci Technol
                es
                esthag
                Environmental Science & Technology
                American Chemical Society
                0013-936X
                1520-5851
                13 September 2023
                26 September 2023
                : 57
                : 38
                : 14101-14112
                Affiliations
                []Van ’t Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam , 1090 GD Amsterdam, The Netherlands
                []Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland , 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
                []UvA Data Science Center, University of Amsterdam , 1012 WP Amsterdam, The Netherlands
                [§ ]Queensland Alliance for Environmental Health Sciences (QAEHS) , 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
                Author notes
                Author information
                https://orcid.org/0000-0001-9336-9656
                https://orcid.org/0000-0002-2155-100X
                https://orcid.org/0000-0001-8270-6979
                Article
                10.1021/acs.est.3c03606
                10537454
                37704971
                9d366575-829a-470a-9256-e4206df87a0e
                © 2023 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/).

                History
                : 15 May 2023
                : 30 August 2023
                : 29 August 2023
                Funding
                Funded by: Queensland Health, doi 10.13039/100010230;
                Award ID: NA
                Funded by: UvA Data Science Center, doi NA;
                Award ID: NA
                Funded by: Queensland Alliance for Environmental Health Sciences, doi NA;
                Award ID: NA
                Funded by: ChemistryNL TKI, doi NA;
                Award ID: NA
                Funded by: National Health and Medical Research Council, doi 10.13039/501100000925;
                Award ID: EL12009209
                Funded by: National Health and Medical Research Council, doi 10.13039/501100000925;
                Award ID: APP1185347
                Categories
                Review
                Custom metadata
                es3c03606
                es3c03606

                General environmental science
                non-targeted analysis,liquid chromatography,high-resolution mass spectrometry,chemicals of emerging concern,chemical space,exposome

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