a Central Mineral and Environmental Resources Science Center, U.S. Geological Survey , Denver , CO , USA.
b Division of Biostatistics & Bioinformatics , National Jewish Health , Denver , CO , USA.
Toxicol Mech Methods. 2018 Sep;28(7):475-487. doi: 10.1080/15376516.2018.1449042. Epub 2018 Apr 23.
Humans accumulate large numbers of inorganic particles in their lungs over a lifetime. Whether this causes or contributes to debilitating disease over a normal lifespan depends on the type and concentration of the particles. We developed and tested a protocol for in situ characterization of the types and distribution of inorganic particles in biopsied lung tissue from three human groups using field emission scanning electron microscopy (FE-SEM) combined with energy dispersive spectroscopy (EDS). Many distinct particle types were recognized among the 13 000 particles analyzed. Silica, feldspars, clays, titanium dioxides, iron oxides and phosphates were the most common constituents in all samples. Particles were classified into three general groups: endogenous, which form naturally in the body; exogenic particles, natural earth materials; and anthropogenic particles, attributed to industrial sources. These in situ results were compared with those using conventional sodium hypochlorite tissue digestion and particle filtration. With the exception of clays and phosphates, the relative abundances of most common particle types were similar in both approaches. Nonetheless, the digestion/filtration method was determined to alter the texture and relative abundances of some particle types. SEM/EDS analysis of digestion filters could be automated in contrast to the more time intensive in situ analyses.
在一生中,人类的肺部会积聚大量的无机颗粒。这些颗粒是否会导致或促成正常寿命内的衰弱性疾病,取决于颗粒的类型和浓度。我们开发并测试了一种使用场发射扫描电子显微镜 (FE-SEM) 结合能量色散光谱 (EDS) 原位分析来自三组人类肺组织活检中无机颗粒类型和分布的方案。在分析的 13000 个颗粒中,我们识别出了许多不同类型的颗粒。二氧化硅、长石、粘土、钛氧化物、铁氧化物和磷酸盐是所有样品中最常见的成分。颗粒被分为三类:内生颗粒,在体内自然形成;外生颗粒,天然土壤物质;和人为颗粒,归因于工业来源。这些原位结果与使用传统的次氯酸钠组织消化和颗粒过滤的结果进行了比较。除了粘土和磷酸盐之外,大多数常见颗粒类型的相对丰度在两种方法中都相似。尽管如此,消化/过滤方法被确定会改变一些颗粒类型的质地和相对丰度。与更耗时的原位分析相比,消化过滤器的 SEM/EDS 分析可以实现自动化。