Literature DB >> 26078156

Electrochemical detection of nitrate in PM2.5 with a copper-modified carbon fiber micro-disk electrode.

Liangyun Yu1, Qi Zhang2, Qin Xu3, Dangqin Jin4, Gendi Jin5, Kexin Li3, Xiaoya Hu6.   

Abstract

The accurate measurement of nitrate in PM2.5 is essential for a complete understanding of the effects of aerosols on human health, the impact of aerosols on the radiative balance of the earth and the role of aerosols in visibility problems. In this paper, we present a novel, quick, easy, cheap and eco-friendly electroanalytical procedure for the determination of nitrate in PM2.5 samples using a carbon-fiber micro-disk electrode (CFMDE) coupled with square-wave voltammetry (SWV). Under optimal experimental conditions the nitrate SWV response increases linearly with nitrate concentration over a range of 0.003-2.0 mmol L(-1), and the detection limit is 1.10 μmol L(-1) (S/N=3). Nitrate contents in daily PM2.5 of Yangzhou in China were detected successfully by employing this novel method, and the results were compared well with those obtained by using ion chromatography. Then, we detected nitrate in two-hour PM2.5 filter samples via the standard addition method, and the concentrations were applied in an analysis of the daily change of nitrate contained in PM2.5 of Yangzhou. The research in this work indicates that the electrochemical method opens a new opportunity for fast, portable, and sensitive analysis of components in PM2.5.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon fiber; Copper-modified; Electrochemical detection; Nitrate; PM(2.5)

Year:  2015        PMID: 26078156     DOI: 10.1016/j.talanta.2015.04.049

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  The Electrochemical Behavior of Carbon Fiber Microelectrodes Modified with Carbon Nanotubes Using a Two-Step Electroless Plating/Chemical Vapor Deposition Process.

Authors:  Longsheng Lu; Linsheng Liang; Kwok Siong Teh; Yingxi Xie; Zhenping Wan; Yong Tang
Journal:  Sensors (Basel)       Date:  2017-03-30       Impact factor: 3.576

  1 in total

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