OPEs-ID: A software for non-targeted screening of organophosphate esters based on liquid chromatography-high-resolution mass spectrometry

被引:0
|
作者
Xiong, Yinran [1 ,2 ,6 ]
Liu, Jinyue [1 ,2 ]
Yu, Jing [1 ,2 ]
Chen, Da [3 ,4 ]
Li, Tiantian [5 ]
Zhou, Fengli [3 ,4 ]
Wu, Ting [1 ,2 ]
Liu, Xiaotu [3 ,4 ]
Du, Yiping [1 ,2 ]
机构
[1] East China Univ Sci & Technol, Sch Chem & Mol Engn, Shanghai 200237, Peoples R China
[2] East China Univ Sci & Technol, Res Ctr Anal & Test, Shanghai 200237, Peoples R China
[3] Jinan Univ, Sch Environm, Guangzhou 510632, Peoples R China
[4] Jinan Univ, Guangdong Key Lab Environm Pollut & Hlth, Guangzhou 510632, Peoples R China
[5] Natl Inst Environm Hlth, Chinese Ctr Dis Control & Prevent, China CDC Key Lab Environm & Populat Hlth, Beijing 100021, Peoples R China
[6] Chongqing Municipal Key Lab Sci Utilizat Tobacco R, Chongqing 400060, Peoples R China
基金
中国国家自然科学基金;
关键词
Fragments-dependent screening; LC-HRMS; In silico fragmentation; Isotopic pattern matching; Organophosphate esters (OPEs); METABOLITE IDENTIFICATION; STRUCTURE ELUCIDATION; WATER; FRAGMENTATION; PREDICTION; PRODUCTS; RULES;
D O I
10.1016/j.jhazmat.2023.133275
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Organophosphate esters (OPEs) are widely used as flame retardants and plasticizers, presenting a potential threat to the environment and human health. To date, no automatic software exists for the nontargeted screening of OPEs. In this study, OPEs-ID, a user-friendly software, was developed for the identification of OPEs using liquid chromatography-high-resolution mass spectrometry. The main workflow of OPEs-ID included fragmentsdependent precursor ion screening, elemental composition determination, extracted ion chromatograms (EIC) comparison, and molecular structure identification via MetFrag strategy. A mixture of 17 OPE standards was identified with an identification rate of 100% by OPEs-ID. OPEs-ID demonstrated a rate of 94.1% for correctly ranking within the top 1 candidate in a local database (41.2% in PubChem) for the 17 OPE standards, which remarkably improved the identification when compared to conventional in silico fragmentation algorithms. Using a pooled airborne fine particle sample (PM2.5), OPEs-ID could automatically retrieve 22 valid molecules with structure candidates. The detection frequencies of 9 newly identified OPEs were between 13% and 100% in the 32 PM2.5 samples. Their semi-quantification concentrations were comparable to those of some traditional OPEs. Overall, OPEs-ID offers a powerful tool to significantly enrich our understanding of the OPEs present in the environment.
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页数:9
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