Yue Weisheng, Li Xiaolin, Wan Tianmin, Liu Jiangfeng, Zhang Guilin, Li Yan
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201800 Shanghai, China.
Appl Spectrosc. 2006 Jun;60(6):698-703. doi: 10.1366/000370206777670666.
The micro-proton induced X-ray emission (micro-PIXE) spectrum of a single aerosol particle (SAP) was considered as its fingerprint for tracing its origin. A proton microprobe was used to extract fingerprints of SAPs. Environmental monitoring samples of PM(10) were collected from a heavy industrial area of Shanghai and were analyzed by proton microprobe for finding their pollution sources. In order to find the sources of SAPs collected from environmental monitoring sites, a fingerprint database of SAPs collected from various pollution sources was established. The origins of samples collected through environmental monitoring were identified by comparison of the micro-PIXE spectra of SAPs with those of SAPs in the fingerprint database using a pattern recognition technique. The results of this study show that most of the measured PM(10) is derived from metallurgic industry, soil dust, coal combustion, automobile exhaust, and motorcycle exhaust. The study also shows that the proton microprobe is an ideal tool for the analysis of SAPs. The unidentified particles of PM(10) are classified into seven classes by hierarchical cluster analysis based on the element peak intensity in the spectra.
单个气溶胶粒子(SAP)的微质子诱导X射线发射(micro-PIXE)光谱被视为追踪其来源的指纹。使用质子微探针提取SAP的指纹。从上海的一个重工业区采集了PM(10)环境监测样本,并通过质子微探针分析以确定其污染源。为了找到从环境监测点收集的SAP的来源,建立了一个从各种污染源收集的SAP指纹数据库。通过使用模式识别技术,将环境监测收集样本的SAP的微PIXE光谱与指纹数据库中SAP的光谱进行比较,确定了样本的来源。这项研究的结果表明,大多数测量的PM(10)来自冶金工业、土壤粉尘、煤炭燃烧、汽车尾气和摩托车尾气。该研究还表明,质子微探针是分析SAP的理想工具。基于光谱中的元素峰值强度,通过层次聚类分析将未识别的PM(10)颗粒分为七类。