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使用电感耦合等离子体质谱法(ICP-MS)对含氟化合物进行有效分析的趋势。

Trends towards Effective Analysis of Fluorinated Compounds Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS).

作者信息

Moirana Ruth Lorivi, Kivevele Thomas, Mkunda Josephine, Mtei Kelvin, Machunda Revocatus

机构信息

The Nelson Mandela African Institution of Science and Technology (NM-AIST), School of Material Energy Water and Environmental Sciences, P.O. Box 447, Arusha, Tanzania.

出版信息

J Anal Methods Chem. 2021 Feb 2;2021:8837315. doi: 10.1155/2021/8837315. eCollection 2021.

DOI:10.1155/2021/8837315
PMID:33623722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7875612/
Abstract

Increased demand for monitoring and identification of novel and unknown fluorinated compounds (FCs) has demonstrated the need of sensitive fluorine-specific detectors for unknown FCs in both biological and environmental matrices. Inductively coupled plasma mass spectrometry (ICP-MS) is a promising technique for analysis of FCs and has been rated as the most powerful tool in analytical chemistry. However, direct determination of fluorine using this technique is challenged by high ionization potential of fluorine together with spectral and nonspectral interferences which affect the quality of results. To enhance the quality of results, several studies have reported modifications of a conventional ICP-MS analysis procedure on sample preparation, introduction, analysis, and instrument optimization. Therefore, the focus of this study is to discuss different ICP-MS optimizations and future trends towards the effective analysis of FCs using ICP-MS.

摘要

对新型和未知含氟化合物(FCs)监测与鉴定的需求不断增加,这表明在生物和环境基质中,需要用于未知FCs的灵敏的氟特异性检测器。电感耦合等离子体质谱(ICP-MS)是一种很有前景的FCs分析技术,被评为分析化学中最强大的工具。然而,使用该技术直接测定氟受到氟的高电离电位以及影响结果质量的光谱和非光谱干扰的挑战。为提高结果质量,多项研究报告了对传统ICP-MS分析程序在样品制备、进样、分析和仪器优化方面的改进。因此,本研究的重点是讨论不同的ICP-MS优化方法以及使用ICP-MS有效分析FCs的未来趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7674/7875612/91d0de48d18f/JAMC2021-8837315.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7674/7875612/91d0de48d18f/JAMC2021-8837315.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7674/7875612/91d0de48d18f/JAMC2021-8837315.001.jpg

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