化学
有机磷
胶体金
杀虫剂
线性判别分析
星团(航天器)
传感器阵列
纳米颗粒
色谱法
纳米技术
人工智能
计算机科学
机器学习
材料科学
农学
生物
程序设计语言
作者
Nafiseh Fahimi-Kashani,M. Reza Hormozi‐Nezhad
标识
DOI:10.1021/acs.analchem.6b01616
摘要
There is a growing interest in developing high-performance sensors monitoring organophosphate pesticides, primarily due to their broad usage and harmful effects on mammals. In the present study, a colorimetric sensor array consisting of citrate-capped 13 nm gold nanoparticles (AuNPs) has been proposed for the detection and discrimination of several organophosphate pesticides (OPs). The aggregation-induced spectral changes of AuNPs upon OP addition has been analyzed with pattern recognition techniques, including hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). In addition, the proposed sensor array has the capability to identify individual OPs or mixtures of them in real samples.
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