首页> 外文期刊>Analytical chemistry >Bubble-Nucleation-Based Method for the Selective and Sensitive Electrochemical Detection of Surfactants
【24h】

Bubble-Nucleation-Based Method for the Selective and Sensitive Electrochemical Detection of Surfactants

机译:基于泡的成核的表面活性剂的选择性和敏感电化学检测方法

获取原文
获取原文并翻译 | 示例
       

摘要

We present the first bubble-nucleation-based electrochemical method for the selective and sensitive detection of surfactants. Our method takes advantage of the high surface activity of surfactant analyte to affect the electrochemical bubble nucleation and then transduces the change in nucleation condition to electrochemical signal for determining the surfactant concentration. Using this method, we demonstrate the quantitation of perfluorinated surfactants in water, a group of emerging environmental contaminants, with a remarkable limit of detection (LOD) down to 30 mu g/L and a linear dynamic range of over 3 orders of magnitude. With the addition of a preconcentration step, we have achieved the LOD: 70 ng/L, the health advisory for perfluorooctanesulfonate (PFOS) and perfluorooctanoic acid (PFOA) in drinking water established by the U.S. Environmental Protection Agency. The experimental results are in quantitative agreement with our theoretical model derived from classical nucleation theory. Our method also exhibits an exceptional specificity for the surfactant analytes even in the presence of 1000-fold excess of nonsurfactant interference. This method has the potential to be further developed into a universal electrochemical detector for surfactant analysis because of its simplicity and the surface-activity-based detection mechanism.
机译:我们介绍了一种用于表面活性剂的选择性和敏感性检测的基于泡沫成核的电化学方法。我们的方法利用表面活性剂分析物的高表面活性,以影响电化学气泡成核,然后转换成核状况的变化,以确定表面活性剂浓度的电化学信号。使用该方法,我们证明了水中全氟化表面活性剂的定量,一组新出现的环境污染物,具有显着的检测极限(LOD),下降至30μg/ L和线性动态范围,超过3个数量级。随着预浓缩步骤的添加,我们已经达到了美国环境保护局建立的饮用水中全氟辛磺酸盐(PFOS)和全氟辛酸(PFOA)的健康咨询的LOD:70ng / L.实验结果与我们源自古典成核理论的理论模型进行了定量协议。即使在1000倍过量的非胶质剂干扰的存在下,我们的方法也表现出表面活性剂分析物的特异性特异性。该方法由于其简单性和基于表面活性的检测机构,该方法具有进一步开发成用于表面活性剂分析的通用电化学检测器。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号