Large-scale generation of in silico based spectral libraries to annotate dark chemical space features in non-target analysis

In this study, we develop and present an open-access LC-electrospray-HRMS/MS forward in silico fragmentation spectral library, based on the NORMAN Suspect List Exchange containing 120,514 chemicals, that can be used for level 3 annotations to support elucidation of the dark molecular features detected in environmental, exposomic, food safety, and forensic investigations. Using these forward generated in silico spectral libraries, several pollutants previously unreported in non-targeted workflows were discovered in groundwater for the first time through retrospective non-targeted screening analysis. Among these are xenobiotics such as hexafluoroacetone, hexazinone metabolites A, B, and C, and transformation products of triflusulfuron, fluazifop-butyl, triallate, and propiconazole. The generated in silico spectral libraries are freely available at https://doi.org/10.5281/zenodo.14854025 .

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Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2025-09-02
DOI
https://doi.org/10.1007/s00216-025-06034-4
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Large-scale generation of in silico based spectral libraries to annotate dark chemical space features in non-target analysis

Emil Egede Frøkjær
Analytical and Bioanalytical Chemistry
Metabolomics and Mass Spectrometry Studies
article

Large-scale generation of in silico based spectral libraries to annotate dark chemical space features in non-target analysis

Emil Egede Frøkjær
article en

Abstract

In this study, we develop and present an open-access LC-electrospray-HRMS/MS forward in silico fragmentation spectral library, based on the NORMAN Suspect List Exchange containing 120,514 chemicals, that can be used for level 3 annotations to support elucidation of the dark molecular features detected in environmental, exposomic, food safety, and forensic investigations. Using these forward generated in silico spectral libraries, several pollutants previously unreported in non-targeted workflows were discovered in groundwater for the first time through retrospective non-targeted screening analysis. Among these are xenobiotics such as hexafluoroacetone, hexazinone metabolites A, B, and C, and transformation products of triflusulfuron, fluazifop-butyl, triallate, and propiconazole. The generated in silico spectral libraries are freely available at https://doi.org/10.5281/zenodo.14854025 .

Analytical and Bioanalytical ChemistryVol. 417(27)
Technical University of Denmark (DK)
Danmarks Frie Forskningsfond, Miljøstyrelsen
Openalex Percentile: Top 80%
Metabolomics and Mass Spectrometry Studies
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