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首页> 外文期刊>International journal of environmental analytical chemistry >RESEARCH ARTICLE Highly sensitive UO_2~(2+)ion preconcentration method based on flow sorbent extraction using multiwall carbon nanotubes
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RESEARCH ARTICLE Highly sensitive UO_2~(2+)ion preconcentration method based on flow sorbent extraction using multiwall carbon nanotubes

机译：基于多壁碳纳米管流动吸附剂萃取的高灵敏度UO_2〜（2+）离子预浓缩方法

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摘要

In this work a solid phase on-line uranium ion preconcentration system coupled with spectrophotometry has been developed. The method is based on uranyl ion preconcentration at pH 3.75 onto multiwall carbon nanotubes treated with HNO_3. After preconcentration, the uranyl ions are eluted with 0.32 mol L~(-1)HCl followed by reaction with 3,6-bis[(2-arsonophenyl)-azo]-4,5-dihydroxy-2, 7-naphthalendisulfonic acid 0.08%[tv/v] (Arsenazo III), which had maximum monitored absorbance of 650 nm. Effects of the pertinent experimental parameters on the system were investigated by means of 2~(6-2) fractional factorial design, while optimization was carried out using the Doehlert matrix. Under optimized conditions, detection and quantification limits were found to be 0.21 and 0.7 μgL~(-1), respectively. The analytical curve ranged from 5 to 150 μg L~(-1) (r =0.998), while the relative standard deviations (RSD) were 3.27 and 2.56% for the respective uranium concentrations of 10 and 100 μg L~(-1) (n = 10). The features obtained for the on-line preconcentration system were: preconcentration factor of 228, concentration efficiency of 57min~(-1), consumption index of 0.13mL and sample throughput of 15 h~(-1). In order to assess the accuracy of the proposed method, addition and recovery studies were carried out on spring water samples from different sources and synthetic seawater with satisfactory results ranging from 94.85 up to 103.65%.
机译：在这项工作中，已经开发了结合分光光度法的固相在线铀离子预浓缩系统。该方法基于在3.75的pH下将铀酰离子预浓缩到经过HNO_3处理的多壁碳纳米管上。预浓缩后，将铀酰离子用0.32 mol L〜（-1）HCl洗脱，然后与3,6-双[（2-芳基苯基）-偶氮] -4,5-二羟基-2，7-萘二磺酸0.08反应％[tv / v]（Arsenazo III），其最大监测吸光度为650 nm。通过2〜（6-2）分数阶乘设计研究了相关实验参数对系统的影响，同时使用Doehlert矩阵进行了优化。在最佳条件下，检测限和定量限分别为0.21和0.7μgL〜（-1）。分析曲线的范围为5至150μgL〜（-1）（r = 0.998），而铀浓度分别为10和100μgL〜（-1）时的相对标准偏差（RSD）为3.27和2.56％。 （n = 10）。在线预浓缩系统获得的特征是：预浓缩系数为228，浓缩效率为57min〜（-1），消耗指数为0.13mL，样品通量为15h〜（-1）。为了评估该方法的准确性，对来自不同来源和合成海水的泉水样品进行了添加和回收研究，结果令人满意，范围从94.85到103.65％。

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    Ayla C. do Lago; Giovana de F. Lima; Mariana G. Segatelli; Cesar R.T. Tarley;

  • 作者单位

    Programa de Pros-Graduapaoem Quimica da Universidade Federal de Alfenas, Rua Gabriel Monteiro da Silva, 700, Alfenas-MG, CEP 37130-000, Brazil;

    Instituto de Quimica,Universidade Federal de Uberldndia, UFU, Uberldndia-MG, 38400-902, Brazil;

    Departamento de Quimica, Universidade Estadual de Londrina, Rod. Celso Garcia Cid, PR 445 Km 380, Campus Universitdrio, Londrina-PR, CEP 86051-990, Brazil;

    Programa de Pros-Graduapaoem Quimica da Universidade Federal de Alfenas, Rua Gabriel Monteiro da Silva, 700, Alfenas-MG, CEP 37130-000, Brazil,Instituto de Quimica,Universidade Federal de Uberldndia, UFU, Uberldndia-MG, 38400-902, Brazil,Departamento de Quimica, Universidade Estadual de Londrina, Rod. Celso Garcia Cid, PR 445 Km 380, Campus Universitdrio, Londrina-PR, CEP 86051-990, Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    carbon nanotube; spectrophotometry; on-line preconcentration; uranium; factorial design;

    机译：碳纳米管分光光度法在线预浓缩;铀;析因设计;

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