Suppr超能文献

用于在铝箔上收集的按粒径分布的 PM 样品的元素分析方法:一项比对实验的结果。

Methods for Elemental Analysis of Size-Resolved PM Samples Collected on Aluminium Foils: Results of an Intercomparison Exercise.

机构信息

Institute of Environmental Assessment and Water Research (IDÆA-CSIC), 08034 Barcelona, Spain.

Department of Chemistry, University of Turin, 10125 Turin, Italy.

出版信息

Molecules. 2022 Nov 2;27(21):7442. doi: 10.3390/molecules27217442.

Abstract

Aluminium is the most common substrate in studies using impactors for the measurement of the number or the weight of size-segregated atmospheric particulate matter (PM), as its characteristics perfectly fit impactor requirements. However, its use is not recommended by manufacturers when one of the purposes of the study is the determination of the metal content in the sample. The aim of this work was to develop an efficient analytical procedure for the removal and acid digestion of PM samples collected on aluminium foils by a cascade impactor to perform the determination of metals. The possibility of performing the trace metal analysis of PM samples collected using aluminium foils is of great importance, as it allows the determination of an accurate size distribution and the elemental composition of the PM collected on each impactor stage. Two procedures were optimised by using different digestion and analysis techniques. Both procedures were then applied to the two halves of several Dekati low-pressure impactor (DLPI) samples, and the results were critically compared. The two procedures proved to be effective in the determination of extremely low concentrations of a large suite of analytes in different size fractions of PM emitted by a brake system.

摘要

铝是使用撞击器测量大小分级大气颗粒物(PM)数量或重量的研究中最常用的基质,因为其特性完全符合撞击器的要求。然而,当研究的目的之一是确定样品中的金属含量时,制造商不建议使用铝。本工作旨在开发一种有效的分析程序,用于去除和酸消解通过级联撞击器收集在铝箔上的 PM 样品,以进行金属的测定。使用铝箔收集的 PM 样品进行痕量金属分析的可能性非常重要,因为它可以确定收集在每个撞击器级别的 PM 的准确大小分布和元素组成。通过使用不同的消解和分析技术优化了两种程序。然后将这两种程序应用于几个 Dekati 低压撞击器(DLPI)样品的两半部分,并对结果进行了严格比较。这两种程序都被证明在测定制动系统排放的 PM 不同粒径分数中大量分析物的极低浓度方面非常有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abb1/9657549/a04e2599df0e/molecules-27-07442-g0A1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验