分析物
表面等离子共振
胶体金
纳米技术
主成分分析
计算机科学
纳米颗粒
肉眼
比色法
传感器阵列
线性判别分析
材料科学
人工智能
化学
机器学习
计算机视觉
色谱法
检出限
作者
Jingwei Sun,Yuexiang Lu,Liuying He,Jiawei Pang,Fengyi Yang,Yueying Liu
标识
DOI:10.1016/j.trac.2019.115754
摘要
A sensor array based on the pattern recognition strategy is good at distinguishing subtle changes of extremely similar mixtures over a wide range of analyte types. Particularly, colorimetric sensor arrays based on gold nanoparticles (AuNPs) have been applied widely in many fields for its simplicity, rapidity, cost-effective production, multi-information output, easy visualization of the color change, and even assay by naked eyes. This comprehensive review focuses on the development and state of the art of AuNPs-based colorimetric sensor arrays. Firstly, this review briefly describes the principle of a sensor array and discusses the design of the cross-reactive sensing elements. Secondly, the popular chemometric and statistical techniques (including hierarchical cluster analysis (HCA), principal component analysis (PCA), and linear discriminant analysis (LDA)) for analyzing the data from a sensor array have also been presented. Thirdly, a variety of applications of AuNPs-based colorimetric sensor arrays published throughout the literature have been reviewed in detail according to different sensing mechanisms (surface plasmon resonance, catalytic activity of mimetic enzyme, and multidimensional information) between AuNPs and target analytes. Finally, the remaining challenges and future trends in the development of colorimetric sensor array based on AuNPs have also been discussed.
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