共 130 条
Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry for the Analysis of Atmospheric Particulate Matter
被引:1
作者:
Ma, Jingying
[1
]
Han, Yufu
[1
]
Ge, Jinfeng
[1
]
Wen, Ling
[1
]
Ma, Chao
[1
]
Qi, Yulin
[1
,2
,3
]
Volmer, Dietrich A.
[4
]
机构:
[1] Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin, Peoples R China
[2] Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin, Peoples R China
[3] Haihe Lab Sustainable Chem Transformat, Tianjin, Peoples R China
[4] Humboldt Univ, Dept Chem, Berlin, Germany
基金:
国家重点研发计划;
中国国家自然科学基金;
关键词:
atmospheric particulate matter;
data processing;
environmental analysis;
GC x GC-MS;
organic pollutants;
VOLATILE ORGANIC-COMPOUNDS;
AROMATIC-HYDROCARBONS;
SOURCE APPORTIONMENT;
AEROSOL;
TIME;
GCXGC;
GC;
IDENTIFICATION;
PM2.5;
MS;
D O I:
10.1002/rcm.10034
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Background: Atmospheric particulate matter (PM) is a complex mixture with a wide range of sources, but only a limited proportion can be identified by existing analytical techniques. Comprehensive two-dimensional gas chromatography-mass spectrometry (GC x GC-MS) couples the advantages on high resolution, sensitivity, and peak capacity on gas chromatography, together with the high mass accuracy and acquisition frequency of time-of-flight mass spectrometry (TOFMS). GC x GC-MS has been gradually applied on the analysis of environmental organic pollutants. Aims: This review introduces the principles of GC x GC together with MS and discusses its application on organic compounds in atmospheric PM in the last two decades, so as to provide an outlook on the future trends of GC x GC-MS in this research frontiers. Materials and Methods: The review synthesizes findings on the application of GC x GC-MS for analyzing organic pollutants in PM, covering its operational principles and the coupling with TOFMS to enhance mass accuracy and acquisition speed. Results: GC x GC-MS has significantly improved the identification of PM-associated organic compounds by offering superior separation, peak capacity, and detection sensitivity. The technique has enabled the discovery of previously unresolvable compounds and enhanced source apportionment of PM. Discussion: Despite its analytical advantages, the widespread application of GC x GC-MS in atmospheric studies is hindered by challenges such as complex data processing, instrument cost, and standardization issues. Conclusion: GC x GC-MS offers superior separation and identification of complex pollutants, making it invaluable for environmental analysis and applications. Emerging technologies, such as machine learning, will enhance its analytical capabilities and broaden its future applications.
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页数:18
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