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首页> 外文期刊>International journal of environmental analytical chemistry >Selective extraction and preconcentration of ultra-trace amounts of arsenic(V) ions using carbon nanotubes as a novel sorbent
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Selective extraction and preconcentration of ultra-trace amounts of arsenic(V) ions using carbon nanotubes as a novel sorbent

机译:使用碳纳米管作为新型吸附剂选择性萃取和富集超痕量砷(V)离子

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摘要

In the present study, multiwalled carbon nanotubes (MWCNTs) as solid phase extraction sorbent were developed for preconcentration of arsenic(V) species prior to graphite furnace atomic absorption spectrometry (GFAAS) determination. Arsenic(V) was selectively sorbed on the packed column with MWCNTs within a pH 9.5 in the presence of 2-(5-bromo-2-pyridylazo)-5-diethyl amino phenol (5-Br-PADAP). The adsorbed species was then desorbed with 1mL of 2.0MHNO(3). Experimental parameters including pH, sample volume and flow rate, type, volume and concentration of eluent that influence the recovery of the arsenic(V) species were optimised. Under the optimised conditions, the calibration curve was linear in the range of 0.2-10.0 mu gL(-1) with detection limit of 0.016 mu gL(-1). The relative standard deviations (RSD) for seven replicate determinations at 1.0 mu gL(-1) level of arsenic was 6.69%. The proposed method was successfully applied to the determination of arsenic in water samples and certified reference material (NIST RSM 1643e).
机译:在本研究中,开发了多壁碳纳米管(MWCNT)作为固相萃取吸附剂,用于在石墨炉原子吸收光谱法(GFAAS)测定之前对砷(V)进行预浓缩。在2-(5-溴-2-吡啶基偶氮)-5-二乙基氨基苯酚(5-Br-PADAP)存在下,用pH 9.5下的MWCNT将砷(V)选择性吸附在填充柱上。然后用1mL的2.0MHNO(3)解吸吸附的物质。优化了实验参数,包括pH,样品体积和流速,洗脱液的类型,体积和浓度,这些参数影响砷(V)物种的回收率。在最佳条件下,校准曲线在0.2-10.0μgL(-1)范围内呈线性,检出限为0.016μgL(-1)。七个重复测定在1.0 µg gL(-1)砷水平下的相对标准偏差(RSD)为6.69%。所提出的方法已成功地用于测定水样和经认证的参考物质(NIST RSM 1643e)中的砷。

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