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热脱附气相色谱 - 质谱法测定环境空气中多环芳烃的优化与验证

Optimization and Validation of Thermal Desorption Gas Chromatography-Mass Spectrometry for the Determination of Polycyclic Aromatic Hydrocarbons in Ambient Air.

作者信息

Elorduy Iñaki, Durana Nieves, García José Antonio, Gómez María Carmen, Alonso Lucio

机构信息

Chemical and Environmental Engineering Department, School of Engineering, University of the Basque Country, Alameda de Urquijo s/n, 48013 Bilbao, Spain.

出版信息

J Anal Methods Chem. 2018 May 2;2018:8734013. doi: 10.1155/2018/8734013. eCollection 2018.

DOI:10.1155/2018/8734013
PMID:29854561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5954884/
Abstract

Thermal desorption (TD) coupled with gas chromatography/mass spectrometry (TD-GC/MS) is a simple alternative that overcomes the main drawbacks of the solvent extraction-based method: long extraction times, high sample manipulation, and large amounts of solvent waste. This work describes the optimization of TD-GC/MS for the measurement of airborne polycyclic aromatic hydrocarbons (PAHs) in particulate phase. The performance of the method was tested by Standard Reference Material (SRM) 1649b urban dust and compared with the conventional method (Soxhlet extraction-GC/MS), showing a better recovery (mean of 97%), precision (mean of 12%), and accuracy (±25%) for the determination of 14 EPA PAHs. Furthermore, other 15 nonpriority PAHs were identified and quantified using their relative response factors (RRFs). Finally, the proposed method was successfully applied for the quantification of PAHs in real 8 h-samples (PM), demonstrating its capability for determination of these compounds in short-term monitoring.

摘要

热脱附(TD)与气相色谱/质谱联用(TD-GC/MS)是一种简单的替代方法,它克服了基于溶剂萃取方法的主要缺点:萃取时间长、样品处理量大以及大量的溶剂浪费。本文描述了用于测定颗粒相空气中多环芳烃(PAHs)的TD-GC/MS的优化。该方法的性能通过标准参考物质(SRM)1649b城市灰尘进行测试,并与传统方法(索氏提取-GC/MS)进行比较,结果表明在测定14种美国环保署(EPA)多环芳烃时,该方法具有更好的回收率(平均97%)、精密度(平均12%)和准确度(±25%)。此外,使用相对响应因子(RRFs)对另外15种非优先多环芳烃进行了鉴定和定量。最后,所提出的方法成功应用于实际8小时样品(PM)中多环芳烃的定量分析,证明了其在短期监测中测定这些化合物的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/bc7e33540528/JAMC2018-8734013.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/b7fe674b27b8/JAMC2018-8734013.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/c22691d5dffe/JAMC2018-8734013.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/bc7e33540528/JAMC2018-8734013.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/b7fe674b27b8/JAMC2018-8734013.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/c22691d5dffe/JAMC2018-8734013.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a597/5954884/bc7e33540528/JAMC2018-8734013.003.jpg

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