Determination of trace heavy metals in herbs by sequential injection analysis-anodic stripping voltammetry using screen-printed carbon nanotubes electrodes

被引:141
|
作者
Injang, Uthaitip [1 ]
Noyrod, Peeyanun [1 ]
Siangproh, Weena [2 ]
Dungchai, Wijitar [1 ]
Motomizu, Shoji [3 ]
Chailapakul, Orawon [1 ,4 ]
机构
[1] Chulalongkorn Univ, Sensor Res Unit, Dept Chem, Fac Sci, Bangkok 10330, Thailand
[2] Srinakharinwirot Univ, Fac Sci, Dept Chem, Bangkok 10110, Thailand
[3] Okayama Univ, Fac Sci, Dept Chem, Okayama 7008530, Japan
[4] Chulalongkorn Univ, Ctr Petr Petrochem & Adv Mat, Bangkok 10330, Thailand
关键词
Heavy metals; Sequential injection analysis; Anodic stripping voltammetry; Carbon nanotubes electrodes; BISMUTH-FILM ELECTRODE; SOLID-PHASE EXTRACTION; WATER SAMPLES; ADSORPTION; CADMIUM; PB(II); IONS; SPECIATION; LEAD; PB;
D O I
10.1016/j.aca.2010.01.018
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A method for the simultaneous determination of Pb(II), Cd(II), and Zn(II) at low mu g L-1 concentration levels by sequential injection analysis-anodic stripping voltammetry (SIA-ASV) using screen-printed carbon nanotubes electrodes (SPCNTE) was developed. A bismuth film was prepared by in Situ plating of bismuth on the screen-printed carbon nanotubes electrode. Operational parameters such as ratio of carbon nanotubes to carbon ink, bismuth concentration, deposition time and flow rate during preconcentration step were optimized. Under the optimal conditions, the linear ranges were found to be 2-100 mu g L-1 for Pb(II) and Cd(II), and 12-100 mu g L-1 for Zn(II). The limits of detection (S-bI/S = 3) were 0.2 mu g L-1 for Pb(II), 0.8 mu g L-1 for Cd(II) and 11 mu g L-1 for Zn(II). The measurement frequency was found to be 10-15 stripping cycle h(-1). The present method offers high sensitivity and high throughput for on-line monitoring of trace heavy metals. The practical utility of our method was also demonstrated with the determination of Pb(II), Cd(II), and Zn(II) by spiking procedure in herb samples. Our methodology produced results that were correlated with ICP-AES data. Therefore, we propose a method that can be used for the automatic and sensitive evaluation of heavy metals contaminated in herb items. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:54 / 60
页数:7
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