Suppr超能文献

用于大气细颗粒物化学表征的采样与单颗粒分析:综述

Sampling and single particle analysis for the chemical characterisation of fine atmospheric particulates: A review.

作者信息

Elmes Michele, Gasparon Massimo

机构信息

School of Earth and Environmental Sciences, University of Queensland, Australia.

School of Earth and Environmental Sciences, University of Queensland, Australia; National Institute of Science and Technology on Mineral Resources, Water and Biodiversity (INCT-Acqua), Brazil.

出版信息

J Environ Manage. 2017 Nov 1;202(Pt 1):137-150. doi: 10.1016/j.jenvman.2017.06.067. Epub 2017 Jul 18.

Abstract

To better understand the potential environmental and human health impacts of fine airborne particulate matter (APM), detailed physical and chemical characterisation is required. The only means to accurately distinguish between the multiple compositions in APM is by single particle analysis. A variety of methods and instruments are available, which range from filter-based sample collection for off-line laboratory analysis to on-line instruments that detect the airborne particles and generate size distribution and chemical data in real time. There are many reasons for sampling particulates in the ambient atmosphere and as a consequence, different measurement strategies and sampling devices are used depending on the scientific objectives and subsequent analytical techniques. This review is designed as a guide to some of the techniques available for the sampling and subsequent chemical analysis of individual inorganic particles.

摘要

为了更好地理解空气中细颗粒物(APM)对环境和人类健康的潜在影响,需要进行详细的物理和化学表征。准确区分APM中多种成分的唯一方法是单颗粒分析。有多种方法和仪器可供使用,从用于离线实验室分析的基于过滤器的样品采集到能够检测空气中颗粒并实时生成粒径分布和化学数据的在线仪器。在环境大气中采集颗粒物有很多原因,因此,根据科学目标和后续分析技术的不同,会使用不同的测量策略和采样装置。本综述旨在作为对一些可用于单个无机颗粒采样及后续化学分析技术的指南。

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