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Updated: May 11, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Large-scale generation of in silico based spectral libraries to annotate dark chemical space features in non-target
Emil Egede Frøkjær1, Martin Hansen2
1Environmental Forensics and Metabolomics Laboratory, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet, Building 115, Kongens Lyngby, 2800, Hovedstaden, Denmark. emefro@dtu.dk.
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 .
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