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Environ Pollut

Title:		Comprehensive chemical characterization of gaseous I/SVOC emissions from heavy-duty diesel vehicles using two-dimensional gas chromatography time-of-flight mass spectrometry
Author(s):		He X; Zheng X; You Y; Zhang S; Zhao B; Wang X; Huang G; Chen T; Cao Y; He L; Chang X; Wang S; Wu Y;
Address:		"College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China. College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China. Electronic address: x-zheng11@szu.edu.cn. National Observation and Research Station of Coastal Ecological Environments in Macao, Macao Environmental Research Institute, Macau University of Science and Technology, Macao SAR 999078, China. School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China. School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China. School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China; Beijing Laboratory of Environmental Frontiers Technologies, Beijing 100084, China"
Journal Title:		Environ Pollut
Year:		2022
Volume:		20220415
Issue:
Page Number:		119284 -
DOI:		10.1016/j.envpol.2022.119284
ISSN/ISBN:		1873-6424 (Electronic) 0269-7491 (Linking)
Abstract:		"Intermediate-volatility and semi-volatile organic compounds (I/SVOCs) are key precursors of secondary organic aerosol (SOA). However, the comprehensive characterization of I/SVOCs has long been an analytical challenge. Here, we develop a novel method of speciating and quantifying I/SVOCs using two-dimensional gas chromatography time-of-flight mass spectrometry (GC x GC-ToF-MS) by constructing class-screening programs based on their characteristic fragments and mass spectrum patterns. Using this new approach, we then present a comprehensive analysis of gaseous I/SVOC emissions from heavy-duty diesel vehicles (HDDVs). Over three-thousand compounds are identified and classified into twenty-one categories. The dominant compound groups of I/SVCOs emitted by HDDVs are alkanes (including normal and branched alkanes, 37-66%), benzylic alcohols (7-20%), alkenes (3-11%), cycloalkanes (3-9%), and benzylic ketones (1-4%). Oxygenated I/SVOCs (O-I/SVOCs, e.g., benzylic alcohols and ketones) are first quantified and account for >20% of the total I/SVOC mass. Advanced aftertreatment devices largely reduce the total I/SVOC emissions but increase the proportion of O-I/SVOCs. With the speciation data, we successfully map the I/SVOCs into the two-dimensional volatility basis set space, which facilitates a better estimation of SOA. As aging time goes by, approximate 45% difference between the two scenarios after seven-day aging is observed, which confirms the significant impact of speciated I/SVOC emission data on SOA prediction"
Keywords:		Aerosols/analysis *Air Pollutants/analysis Alcohols/analysis Alkanes/analysis Gas Chromatography-Mass Spectrometry Gases/analysis Ketones Mass Spectrometry Vehicle Emissions/analysis *Volatile Organic Compounds/analysis GC x GC-ToF-MS HDDVs I/SVOCs specia;
Notes:		"MedlineHe, Xiao Zheng, Xuan You, Yan Zhang, Shaojun Zhao, Bin Wang, Xuan Huang, Guanghan Chen, Ting Cao, Yihuan He, Liqiang Chang, Xing Wang, Shuxiao Wu, Ye eng Review England 2022/04/19 Environ Pollut. 2022 Jul 15; 305:119284. doi: 10.1016/j.envpol.2022.119284. Epub 2022 Apr 15"