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基于中心复合设计的响应面法作为一种化学计量学工具,用于优化环境水样中无机砷形态分析的分散固化液液微萃取。

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.

作者信息

Asadollahzadeh Mehdi, Tavakoli Hamed, Torab-Mostaedi Meisam, Hosseini Ghaffar, Hemmati Alireza

机构信息

Department of Chemical Engineering, Faculty of Engineering, South Tehran Branch, Islamic Azad University, P.O. Box 11365-4435, Tehran, Iran.

Faculty of Engineering, Nour Branch, Islamic Azad University, Nour, Iran.

出版信息

Talanta. 2014 Jun;123:25-31. doi: 10.1016/j.talanta.2013.11.071. Epub 2014 Feb 8.

Abstract

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).

摘要

建立了分散固化液液微萃取(DSLLME)与电热原子吸收光谱法(ETAAS)联用技术,用于水样中无机砷(III、V)的预富集和测定。在pH = 1时,As(III) 与吡咯烷二硫代氨基甲酸铵(APDC)形成络合物,并被萃取到1-十二醇(萃取溶剂)的细小液滴中,该液滴通过乙醇(分散剂溶剂)分散到水样溶液中。萃取后,通过离心分离有机相,并将其转移至冰浴中进行固化。将固化后的溶剂转移至锥形瓶中,在室温下快速融化。在融化后的有机相中测定As(III),而As(V) 则保留在水相中。用硫代硫酸钠和碘化钾将五价砷还原后,测定总无机砷。通过总无机砷浓度与As(III) 浓度之差计算As(V) 的含量。借助化学计量学方法对DSLLME方法中的相关变量进行了优化,如萃取溶剂和分散剂溶剂的体积、pH值、APDC(螯合剂)浓度、萃取时间和盐效应等。首先,在筛选实验中,采用分数因子设计(FFD)选择对萃取过程有显著影响的变量。之后,基于中心复合设计(CCD),采用响应面法(RSM)对显著变量进行优化。在最佳条件下,该方法已成功应用于不同环境水样和标准参考物质(NIST RSM 1643e)中无机砷的测定。

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