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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >Response surface methodology based on central composite design as a chemometric tool for optimization of dispersive-solidification liquid-liquid microextraction for speciation of inorganic arsenic in environmental water samples
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Response surface methodology based on central composite design as a chemometric tool for optimization of dispersive-solidification liquid-liquid microextraction for speciation of inorganic arsenic in environmental water samples

机译:基于中心复合设计作为化学计量工具的响应面方法,用于优化分散固化液-液微萃取,优化环境水样品中无机砷的形态

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摘要

Dispersive-solidification liquid-liquid microextraction (DSLLME) coupled with electrothermal atomic absorption spectrometry (ETAAS) was developed for preconcentration and determination of inorganic arsenic (III, V) in water samples. At pH = 1, As(III) formed complex with ammonium pyrrolidine dithiocarbamate (APDC) and extracted into the fine droplets of 1-dodecanol (extraction solvent) which were dispersed with ethanol (disperser solvent) into the water sample solution. After extraction, the organic phase was separated by centrifugation, and was solidified by transferring into an ice bath. The solidified solvent was transferred to a conical vial and melted quickly at room temperature. As(III) was determined in the melted organic phase while As(V) remained in the aqueous layer. Total inorganic As was determined after the reduction of the pentavalent forms of arsenic with sodium thiosulphate and potassium iodide. As(V) was calculated by difference between the concentration of total inorganic As and As(III). The variable of interest in the DSLLME method, such as the volume of extraction solvent and disperser solvent, pH, concentration of APDC (chelating agent), extraction time and salt effect, was optimized with the aid of chemometric approaches. First, in screening experiments, fractional factorial design (FFD) was used for selecting the variables which significantly affected the extraction procedure. Afterwards, the significant variables were optimized using response surface methodology (RSM) based on central composite design (CCD). In the optimum conditions, the proposed method has been successfully applied to the determination of inorganic arsenic in different environmental water samples and certified reference material (NIST RSM 1643e).
机译:分散固化液-液微萃取(DSLLME)结合电热原子吸收光谱法(ETAAS)用于水样品中无机砷(III,V)的预浓缩和测定。在pH = 1时,As(III)与吡咯烷二硫代氨基甲酸铵(APDC)形成络合物,并萃取到1-十二烷醇(萃取溶剂)的细小液滴中,并与乙醇(分散溶剂)一起分散到水样溶液中。萃取后,将有机相通过离心分离,并通过转移至冰浴中使其固化。将固化的溶剂转移到锥形瓶中,并在室温下快速熔化。在熔融的有机相中测定了As(III),而As(V)保留在水层中。在用硫代硫酸钠和碘化钾还原五价形式的砷后,测定了总无机砷。通过总无机As和As(III)的浓度之差计算As(V)。 DSLLME方法中感兴趣的变量,例如萃取溶剂和分散剂溶剂的体积,pH值,APDC(螯合剂)的浓度,萃取时间和盐效应,已借助化学计量学方法进行了优化。首先,在筛选实验中,分数阶因子设计(FFD)用于选择对提取过程有重大影响的变量。之后,使用基于中心复合设计(CCD)的响应面方法(RSM)对重要变量进行优化。在最佳条件下,该方法已成功应用于不同环境水样和经认证的参考物质(NIST RSM 1643e)中无机砷的测定。

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