Paoletti Luigi, De Berardis Barbara, Arrizza Lorenzo
Laboratorio di Ultrastrutture, Istituto Superiore di Sanità, Roma.
Ann Ist Super Sanita. 2003;39(3):381-5.
The aim of the present study is to characterise from a physico-chemical point of view the airborne particulate matter (PM10) sampled in different sites dissimilar with regard to the weather conditions, the residential density and the industrial activities. The particles were collected by an eight-stage cascade impactor, Andersen particle fractionating sampler. The analysis of the particle samples was performed by a scanning electron microscopy (SEM) equipped with a thin-window system for X-ray microanalysis by energy dispersion spectrometry. The hierarchical cluster analysis (HCA) on the analytical data revealed the presence of eight different particulate types (particle clusters) in the sampling sites: C-rich particles (cluster 1); Ca and Mg carbonates (cluster 2); Ca sulphates (cluster 3); silica particles (cluster 4); silicates (cluster 5); Fe-rich particles (cluster 6); metal compounds (cluster 7); carbonaceous particles with heavy metals (cluster 8). Data obtained in this study demonstrate a significant correlation between the PM10 composition and the anthropic activities present the sampling site.
本研究的目的是从物理化学角度对在不同地点采集的空气颗粒物（PM10）进行表征，这些地点在天气条件、居住密度和工业活动方面存在差异。颗粒物由八级串联冲击器（安德森颗粒分级采样器）收集。颗粒样品的分析通过配备有用于能量色散光谱X射线微分析的薄窗系统的扫描电子显微镜（SEM）进行。对分析数据的层次聚类分析（HCA）显示，采样地点存在八种不同的颗粒类型（颗粒簇）：富碳颗粒（簇1）；碳酸钙和碳酸镁（簇2）；硫酸钙（簇3）；二氧化硅颗粒（簇4）；硅酸盐（簇5）；富铁颗粒（簇6）；金属化合物（簇7）；含重金属的碳质颗粒（簇8）。本研究获得的数据表明，PM10组成与采样地点存在的人为活动之间存在显著相关性。
