非靶标技术在新污染物识别中的应用
Recent advances in nontarget discovery of emerging pollutants in the environment
钱慧敏 1刘艳娜 2姚林林 2曲广波 1史建波 1江桂斌1
作者信息
- 1. 中国科学院生态环境研究中心,环境化学与生态毒理学国家重点实验室,北京,100085;中国科学院大学资源与环境学院,北京,100049
- 2. 中国科学院生态环境研究中心,环境化学与生态毒理学国家重点实验室,北京,100085
- 折叠
摘要
受人类活动的影响,来自工农业生产和生活活动等方面的化学品不断进入环境,加之各类生物和非生物转化时有发生,导致环境中存在多种污染物及复杂的转化产物.全面认识样品中的污染物是进行环境健康风险评价的前提.然而,大量的未知结构、复杂的环境基质以及低环境赋存浓度都为厘清污染物暴露带来了挑战,亟需发展高灵敏度的未知污染物识别技术.非靶标分析(nontarget analysis,NTA)作为一种新的分析手段,可以在化合物信息未知的情况下对复杂基质中的有机物进行识别,有助于最大限度揭示环境样品中存在的污染物,为风险评价奠定基础.本文回顾了非靶标技术在新污染物识别中的应用,从样品前处理、数据采集和数据处理三方面对目前使用的不同方法及策略进行讨论,讨论了各方法的优劣及适用范围,并提出了当前存在的问题及未来发展方向.
Abstract
Chemicals from industrial,agricultural,and domestic activities are constantly entering the environment due to anthropogenic influences.In addition,various biotic and abiotic transformations of chemicals further lead to the presence of a wide variety of pollutants and complex transformation products in the environment.A comprehensive understanding of contaminants in samples is a prerequisite for environmental health risk assessment.However,the large number of unknown structures,complex environmental matrices,and low environmental concentrations pose challenges to the clarification of pollutant exposure.A technology with high sensitivity for the identification of unknown contaminants is thus urgently needed.As an emerging analytical strategy,nontarget analysis(NTA)enables the identification of organic compounds in complex matrices where compound information is unknown.NTA will help to reveal pollutants in environmental samples to the greatest extent and provide the critical foundation for risk assessment.In this paper,we review the applications of NTA technology in the identification of emerging pollutants,discuss the advantages,disadvantages,and scope of application of different methods that have been used from three aspects including sample pretreatment,data acquisition,and data processing,and propose challenges and future directions for the development of NTA.
关键词
非靶标分析/高分辨质谱/环境分析/新污染物Key words
nontarget analysis/high-resolution mass spectrometry/environmental analysis/emerging pollutants引用本文复制引用
基金项目
国家自然科学基金(22276198)
国家自然科学基金(21906166)
出版年
2024
NETL
NSTL
万方数据