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Selective determination of four arsenic species in rice and water samples by modified graphite electrode-based electrolytic hydride generation coupled with atomic fluorescence spectrometry

机译:改进的石墨电极基氢化物发生-原子荧光光谱法选择性测定大米和水样中的四种砷

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This work describes a novel non-chromatographic approach for the accurate and selective determining As species by modified graphite electrode-based electrolytic hydride generation (EHG) for sample introduction coupled with atomic fluorescence spectrometry (AFS) detection. Two kinds of sulfydryl-containing modifiers, L-cysteine (Cys) and glutathione (GSH), are used to modify cathode. The EHG performance of As has been changed greatly at the modified cathode, which has never been reported. Arsenite [As(III)] on the GSH modified graphite electrode (GSH/GE)-based EHG can be selectively and quantitatively converted to AsH3 at applied current of 0.4 A. As(III) and arsenate [As(V)] on the Cys modified graphite electrode (Cys/GE) EHG can be selectively and efficiently converted to arsine at applied current of 0.6 A, whereas monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA) do not form any or only less volatile hydrides under this condition. By changing the analytical conditions, we also have achieved the analysis of total As (tAs) and DMA. Under the optimal condition, the detection limits (3 s) of As(III), iAs and tAs in aqueous solutions are 0.25 mu g L-1, 0.22 mu g L-1 and 0.10 mu g L-1, respectively. The accuracy of the method is verified through the analysis of standard reference materials (SRM 1568a). (C) 2016 Elsevier B.V. All rights reserved.
机译:这项工作描述了一种新颖的非色谱方法,该方法通过修饰的石墨电极基电解氢化物生成(EHG)来进行样品引入与原子荧光光谱(AFS)检测,从而准确,选择性地确定As物种。两种含巯基的改性剂L-半胱氨酸(Cys)和谷胱甘肽(GSH)用于修饰阴极。在改性阴极上,As的EHG性能已发生了很大变化,这从未有过报道。基于GSH修饰石墨电极(GSH / GE)的EHG上的砷[As(III)]可以在0.4 A的施加电流下选择性地定量转化为AsH3。 Cys修饰的石墨电极(Cys / GE)EHG可以在0.6 A的施加电流下选择性和有效地转化为a,而在这种条件下,单甲基ar磺酸(MMA)和二甲基ar啶酸(DMA)不会形成任何或仅有较少的挥发性氢化物。通过更改分析条件,我们还实现了总砷(tAs)和DMA的分析。在最佳条件下,水溶液中As(III),iAs和tAs的检出限(3 s)分别为0.25μg L-1、0.22μgL-1和0.10μgL-1。通过分析标准参考物质(SRM 1568a)验证了该方法的准确性。 (C)2016 Elsevier B.V.保留所有权利。

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