Taskula Sara, Stetten Lucie, von der Kammer Frank, Hofmann Thilo
Department of Environmental Geosciences, Centre for Microbiology and Environmental Systems Science, University of Vienna, 1090 Vienna, Austria.
Nanomaterials (Basel). 2022 Sep 23;12(19):3307. doi: 10.3390/nano12193307.
Particulate emissions from vehicle exhaust catalysts are the primary contributors to platinum group elements (PGEs) being released into roadside environments, especially platinum (Pt) particles. With increasing traffic density, it is essential to quantify the emission, accumulation, and potential health effects of traffic-emitted Pt particles. In this study, three procedures were investigated to extract Pt nanoparticles (NPs) from sediments and characterize them by single-particle inductively coupled plasma time-of-flight mass spectrometry (spICP-TOF-MS). For this purpose, a reference sediment sample was spiked with manufactured Pt NPs. Pt NPs' extraction recoveries reached from 50% up to 102%, depending on the extraction procedure and whether the particle mass or number was used as the metric. Between 17% and 35% of the Pt NPs were found as unassociated Pt NPs and between 31% and 78% as Pt NPs hetero-aggregated with other sediment particles. Multi-elemental analysis of Pt-containing NPs in the pristine sediment revealed frequently co-occurring elements such as Au, Bi, and Ir, which can be used to determine a natural background baseline. Our results demonstrated that spICP-TOF-MS elemental characterization allows for distinguishing anthropogenic Pt NPs from the natural background. In the future, this could enable the sensitive monitoring of PGE release from anthropogenic sources such as vehicle exhausts.
汽车尾气催化剂产生的颗粒物排放是铂族元素(PGEs)释放到路边环境中的主要来源,尤其是铂(Pt)颗粒。随着交通密度的增加,量化交通排放的Pt颗粒的排放、积累及其对健康的潜在影响至关重要。在本研究中,研究了三种从沉积物中提取Pt纳米颗粒(NPs)并用单颗粒电感耦合等离子体飞行时间质谱(spICP-TOF-MS)对其进行表征的方法。为此,向参考沉积物样品中加入了人工合成的Pt NPs。根据提取方法以及是以颗粒质量还是数量作为衡量指标,Pt NPs的提取回收率在50%至102%之间。发现17%至35%的Pt NPs为未结合的Pt NPs,31%至78%的Pt NPs与其他沉积物颗粒形成异质聚集体。对原始沉积物中含Pt NPs的多元素分析揭示了经常同时出现的元素,如Au、Bi和Ir,这些元素可用于确定自然背景基线。我们的结果表明,spICP-TOF-MS元素表征能够区分人为来源的Pt NPs和自然背景。未来,这可能实现对车辆尾气等人为来源的PGEs释放进行灵敏监测。