Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong, China.
JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
J Hazard Mater. 2021 Mar 5;405:124613. doi: 10.1016/j.jhazmat.2020.124613. Epub 2020 Nov 18.
This paper presents a detailed chemical and toxicological characterization of the diesel particulate matter (PM) emitted from diesel vehicles running on a chassis dynamometer under different driving conditions. Chemical analyses were performed to characterize the contents of organic carbon (OC), elemental carbon (EC), and 31 polycyclic aromatic hydrocarbons (PAHs) in the collected PM samples. The OC-EC analysis results revealed that PM emissions from diesel vehicles in this study were dominated by OC and that the emission of vehicles equipped with diesel particulate filters had high OC/EC ratios. The PAH analysis results revealed that 4- and 5-ring PAHs were the dominant PAHs in the OC fraction of the PM samples. Particle toxicity was evaluated through three toxicological markers in human A549 cells, namely (1) acellular 2,7-dichlorofluorescein (DCFH) for oxidative potential, (2) interleukin-6 (IL-6) for inflammation, and (3) glutathione (GSH) for antioxidation after exposure. Statistical analyses revealed that vehicle sizes have statistically significant effects on the concentrations of the markers. Correlation analysis between PAHs and toxicological markers revealed that significant correlations existed between specific compounds and markers. Our results can be used as a reference by policy makers to formulate emission control strategies and as a dataset for other modeling studies.
本论文详细描述了在底盘测功机上以不同行驶条件运行的柴油车排放的柴油机颗粒物(PM)的化学特性和毒理学特性。通过化学分析对采集到的 PM 样品中的有机碳(OC)、元素碳(EC)和 31 种多环芳烃(PAHs)含量进行了表征。OC-EC 分析结果表明,本研究中柴油车的 PM 排放主要来自 OC,且配备有柴油机颗粒过滤器的车辆的 OC/EC 比值较高。PAH 分析结果表明,4-和 5-环 PAHs 是 PM 样品 OC 部分中的主要 PAHs。通过人 A549 细胞中的三个毒理学标志物(1)非细胞 2,7-二氯荧光素(DCFH)评估氧化潜力、(2)白细胞介素-6(IL-6)评估炎症和(3)谷胱甘肽(GSH)评估抗氧化作用,评估了颗粒毒性。统计分析表明,车辆尺寸对标志物浓度有统计学显著影响。PAHs 与毒理学标志物之间的相关性分析表明,特定化合物与标志物之间存在显著相关性。我们的研究结果可以为政策制定者制定排放控制策略提供参考,也可以为其他建模研究提供数据集。