井冈山大学学报（自然科学版）2023，Vol.44Issue(6)：22-28,7.DOI:10.3969/j.issn.1674-8085.2023.06.004
Ph4PCl增强电离结合同位素指纹匹配算法的多卤代化合物非靶向鉴定
NON-TARGETED IDENTIFICATION OF POLYHALOGENATED COMPOUNDS USING THE COMBINATION OF PH4PCL-ENHANCED IONIZATION AND ISOTOPE MATCHING ALGORITHM
摘要
Abstract
The polyhalogenated compounds are typical organic pollutants known for their bioaccumulation,persistence and toxicity,posing significant health risk to global ecosystems and human.Thus,the identification of the polyhalogenated compounds in environment is very important.However,the current analytical methods for the identification of the polyhalogenated compounds suffer from low ionization efficiency,poor sensitivity,and complex procedures,leading to low identification efficiency.In this study,we firstly introduced tetraphenylphosphonium chloride(Ph4PCl)into the liquid chromatography-mass spectrometry to enhance the ionization of the polyhaloalkyl compounds.Then,a novel isotopic fingerprint-matching algorithm was developed based on the isotopic patterns of the compounds to efficiently identify the polyhalogenated compounds.Based on the combination of Ph4PCl-enhanced ionization and isotopic fingerprint-match method,356 polyhalogenated compounds were successfully identified in the demostic wastewater samples.Among the identified compounds,81 known polyhalogenated compounds included 20 short-chain,21 median-chain,29 long-chain,and 11 very short-chain chlorinated paraffins,and 275 unknown polyhalogenated compounds were consisted of 113 oxygen-containing chlorinated paraffins(CPOxs),97 chlorinated paraffin nitroesters(CPNO3s),54 sulfur-containing chlorinated paraffins(CPSxs),and 11 Br-containing alkyl compounds.The established method realized the comprehensive and efficient identification of polyhalogenated compounds in environment.关键词
多卤代化合物/Ph4PCl增强电离/物质鉴定Key words
polyhalogenated compounds/Ph4PCl-enhanced ionization/substance identification分类
化学化工引用本文复制引用
晏浩,孙轶斌,崔洪洋,万祎..Ph4PCl增强电离结合同位素指纹匹配算法的多卤代化合物非靶向鉴定[J].井冈山大学学报（自然科学版）,2023,44(6):22-28,7.基金项目
国家自然科学基金项目(22206007,22176003,22225601) （22206007,22176003,22225601）
国家重点研发项目(2021YFC3200803) （2021YFC3200803）
