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人工合成麝香的分析方法及环境污染现状

刘洪涛 梁少霞 李梦婷 栾天罡

分析测试学报2017,Vol.36Issue(12):1526-1535,10.
分析测试学报2017,Vol.36Issue(12):1526-1535,10.DOI:10.3969/j.issn.1004-4957.2017.12.019

人工合成麝香的分析方法及环境污染现状

Environmental Occurrences of Synthetic Musks and Their Analytical Methods

刘洪涛 1梁少霞 1李梦婷 1栾天罡2

作者信息

  • 1. 中山大学测试中心,广东广州510275
  • 2. 中山大学生命科学学院,广东广州510275
  • 折叠

摘要

Abstract

Synthetic musks (SMs) are widely used as a substitute of natural musks in consumer products for their low price,special and long-lasting fragrance.They are divided into nitro musks,polycyclic musks and macro musks according to their chemical structures.With the mass production and extensive usage,SMs are continuely released into the environment via direct or indirect ways,and becoming emerging pollutants.Numerous reports have shown that SMs,especially galaxolide (HHCB),tonalide(AHTN),musk xylene(MX) and musk ketone(MK),are available in aquatic environment,soil,air and organisms.Due to their high lipophilicity and persistency,synthetic musks accumulate and produce toxic effect in biotas,thus having increasing impact on ecology and giving rise to public concern.In this paper,the characteristics,exact classification,environmental occurrences and the analysis of SMs are introduced.The main focus is on the analytical methods such as GC and GC-MS,the most common detection methods for SMs.Mass spectrometry is firstly preferred among the analytical methods because of its high selectivity,accuracy and sensitivy in qualitative and quantitative analyses.The preparation techniques for samples with different matrix(eg.water,sewage sluge,sediment,air and biotas) to reduce interference are also discussed,which may still be a notable problem in the near future.

关键词

人工合成麝香/分析方法/样品前处理/环境污染现状/综述

Key words

synthetic musks (SMs)/analytical methods/sample preparation/environmental occurrences/review

分类

化学化工

引用本文复制引用

刘洪涛,梁少霞,李梦婷,栾天罡..人工合成麝香的分析方法及环境污染现状[J].分析测试学报,2017,36(12):1526-1535,10.

基金项目

国家自然科学基金资助项目(41271505,41473092,21625703) (41271505,41473092,21625703)

分析测试学报

OA北大核心CSCDCSTPCD

1004-4957

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