文献类型：期刊文献

英文题名：Discovery of 23 Organophosphate Esters in Indoor Dust by Nontarget Screening Analysis

作者：Cui, Qingxiao[1]; Liu, Jinyue[1]; Huang, Honghua[2]; Xiong, Yinran[3,4]; Wu, Qiong[1]; Liu, Xiaotu[5]; Zhang, Lin[1]; Hua, Lei[1]; Du, Yiping[1]; Wu, Ting[1]

机构：[1] School of Chemistry & Molecular Engineering, Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai, 200237, China; [2] Technology Center of Qingdao Customs, Qingdao, 266002, China; [3] Integrative Science Center of Germplasm Creation in Western China [CHONGQING] Science City, Bio-logical Science Research Center, Southwest University, Chongqing, 400715, China; [4] Technical Center of China Tobacco Chongqing Industrial Co., Ltd., Chongqing, 400060, China; [5] College of Environment and Climate, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, 510632, China

年份：2025

外文期刊名：SSRN

收录：EI(收录号：20250194269)

语种：英文

外文关键词：High pressure liquid chromatography

摘要：Organophosphate esters (OPEs) pose significant environmental and human health risks, yet structural characterization remains a critical challenge in understanding their impacts. To address this gap, a non-targeted screening approach by integrating liquid chromatography-high resolution mass spectrometry (LC-HRMS) with the automated OPE identification software OPEs-ID was proposed in this study. Applied to Shanghai indoor dust samples, this method identified 23 OPEs—including six novel compounds. Notably, eight spiro-pentaerythritol phosphate esters were detected, five of which represent new discoveries. Semi-quantitative analysis revealed 11 OPEs with 100% detection frequency, with bis(2,4-di-tert-butylphenyl) pentaerythritol diphosphate (BDtPDP, 57,631 ng/g) and tris(2,4-di-tert-butylphenyl) phosphate (TDtBPP, 18,143 ng/g) dominating at concentrations 1–3 orders of magnitude higher than other OPEs, indicating their prevalence in indoor environments. This workflow demonstrates robust capability for rapid and accurate identification of unknown OPEs, offering a powerful tool to advance ecological risk assessment and support evidence-based regulatory decisions. ? 2025, The Authors. All rights reserved.