Suppr超能文献

大规模生成基于计算机模拟的光谱库,以注释非靶向分析中的暗化学空间特征。

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

作者信息

Egede Frøkjær Emil, Hansen Martin

机构信息

Environmental Forensics and Metabolomics Laboratory, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet, Building 115, Kongens Lyngby, 2800, Hovedstaden, Denmark.

出版信息

Anal Bioanal Chem. 2025 Sep 2. doi: 10.1007/s00216-025-06034-4.

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 .

摘要

在本研究中,我们基于包含120,514种化学物质的诺曼可疑物质清单交换库,开发并展示了一个开放获取的液相色谱 - 电喷雾 - 高分辨质谱/质谱虚拟正向碎裂光谱库,该光谱库可用于三级注释,以支持阐明在环境、暴露组学、食品安全和法医调查中检测到的未知分子特征。通过使用这些正向生成的虚拟光谱库,首次通过回顾性非靶向筛查分析在地下水中发现了几种在非靶向工作流程中以前未报告的污染物。其中包括六氟丙酮、嗪草酮代谢物A、B和C等外来化合物,以及氟磺胺草醚、精吡氟禾草灵、燕麦敌和丙环唑的转化产物。生成的虚拟光谱库可在https://doi.org/10.5281/zenodo.14854025上免费获取。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验