He Yi, Xu Bo, Li Wenhao, Yu Haili
School of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, Sichuan 621010, People's Republic of China.
J Agric Food Chem. 2015 Mar 25;63(11):2930-4. doi: 10.1021/acs.jafc.5b00671. Epub 2015 Mar 12.
In this work, we developed a simple, facile, and highly sensitive nanoparticle-based chemiluminescent (CL) sensor array for the discrimination of organophosphate and carbamate pesticides. This CL sensor array is based on simultaneous utilization of the triple-channel properties of the luminol-functionalized silver nanoparticle (Lum-AgNP) and H2O2 CL system containing CL intensity, the time for CL emissions to appear, and the time to reach the CL peak value, which are able to be measured via a single experiment. The triple-channel properties can be simultaneously altered after interaction with pesticides, producing distinct CL response patterns as "fingerprints" related to each specific pesticide, which was subjected to principal component analysis (PCA) to generate a clustering map. Using this sensor array, five organophosphate and carbamate pesticides, including dimethoate, dipterex, carbaryl, chlorpyrifos, and carbofuran, have been well-distinguished at a concentration of 24 μg/mL. A total of 20 unknown pesticide samples have been successfully identified with an accuracy of 95%. The simple strategy of this study is expected to promote the development of functionalized nanomaterial-based sensor arrays.
在本工作中，我们开发了一种简单、便捷且高灵敏度的基于纳米颗粒的化学发光（CL）传感器阵列，用于鉴别有机磷酸酯和氨基甲酸酯类农药。该CL传感器阵列基于同时利用鲁米诺功能化银纳米颗粒（Lum-AgNP）和含CL强度、CL发射出现时间以及达到CL峰值时间的H2O2 CL系统的三通道特性，这些特性能够通过单次实验进行测量。与农药相互作用后，三通道特性会同时改变，产生与每种特定农药相关的独特CL响应模式作为“指纹”，对其进行主成分分析（PCA）以生成聚类图。使用该传感器阵列，在浓度为24μg/mL时，包括乐果、敌百虫、西维因、毒死蜱和呋喃丹在内的五种有机磷酸酯和氨基甲酸酯类农药已得到很好的区分。总共20个未知农药样品已被成功鉴定，准确率为95%。本研究的简单策略有望推动基于功能化纳米材料的传感器阵列的发展。
