Frontier review on comprehensive two-dimensional gas chromatography for measuring organic aerosol
Frontier review on comprehensive two-dimensional gas chromatography for measuring organic aerosol
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DOI：
10.1016/j.hazl.2021.100013
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
Zhaojin An;Xue Li;Zongbo Shi;B. Williams;R. Harrison;Jingkun Jiang
中科院分区：
文献类型：
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作者：
Zhaojin An;Xue Li;Zongbo Shi;B. Williams;R. Harrison;Jingkun Jiang
有机气溶胶（OA）是大气细颗粒物的重要组成部分，可由数千种有机物质组成，这给分离和识别这种高度复杂的混合物带来了分析挑战。传统的离线一维气相色谱法，主要是基于挥发性分离分子，提供了关于OA组成的有价值的信息，但受到分离不足和峰容量低的限制。综合二维气相色谱（GC × GC）技术自20世纪90年代问世以来，以其高分子分离分辨率和高高峰容量，通过挥发性和极性两种方式分离分子，成为测定OA组成的有效工具。在线和离线GC × GC分析已被应用于OA的研究，这扩展了未知化合物的鉴定和更大范围的目标化合物的定量。本文综述了GC × GC分析大气环境和源排放中有机酸的研究进展。GC × GC与质谱联用提供了多种新颖的分析方法，证明了GC × GC分析复杂气溶胶样品的能力。近年来，在线技术的发展有助于捕获由于源排放以及大气次生形成和气象学的变化而引起的大气OA的动态时间变化。
Organic aerosol (OA) is a key component of atmospheric fine particles and can be composed of thousands of organic species, creating an analytical challenge to separate and identify such highly complex mixtures. Traditional offline one-dimensional gas chromatography, mostly separating molecules based on volatility, provides valuable information on the composition of OA, but is limited by insufficient separation and low peak capacity. Since its introduction in 1990s, comprehensive two-dimensional gas chromatography (GC × GC), which separates molecules by both volatility and polarity, has become an effective tool to determine the OA composition through its high molecular separation resolution and high peak capacity. Both online and offline GC × GC analyses have been applied to study OA, which extended the identification of unknown compounds and the quantification of a larger range of target compounds. Here, we review the studies using GC × GC for analyzing OA from both the ambient environment and source emissions. GC × GC coupled with mass spectrometry provides a variety of novel analysis methods, demonstrating the power of GC × GC analyzing complex aerosol samples. The development of online technologies in recent years helps to capture the dynamic temporal variations of atmospheric OA due to changes in source emissions as well as atmospheric secondary formation and meteorology.