用于识别混合物和实际水样中各种金属离子的可视化人工舌：一种使用现成染料的比色传感器阵列
Visual artificial tongue for identification of various metal ions in mixtures and real water samples: a colorimetric sensor array using off-the-shelf dyes.
作者信息
Huang Yuanfang, Cheng Peiwen, Tan Chunyan
机构信息
Open FIESTA, Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen P. R. China 518055.
State Key Laboratory of Chemical Oncogenomic, Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen P. R. China 518055
出版信息
RSC Adv. 2019 Sep 2;9(47):27583-27587. doi: 10.1039/c9ra05983k. eCollection 2019 Aug 29.
A three-unit colorimetric sensor array in aim of detecting heavy metal ions has been constructed with two off-the-shelf dyes. Multivariate data analysis is performed using LDA and HCA to recognize colour change patterns based on both absorption spectra and RGB values from image scans. The sensor array is able to differentiate 15 metal ions not only in separate solutions, but also mixtures of 3, 5, and 7 different metal ions and real water samples.
利用两种现成的染料构建了一个用于检测重金属离子的三单元比色传感器阵列。使用线性判别分析（LDA）和层次聚类分析（HCA）进行多变量数据分析，以基于吸收光谱和图像扫描的RGB值识别颜色变化模式。该传感器阵列不仅能够区分单独溶液中的15种金属离子，还能区分3种、5种和7种不同金属离子的混合物以及实际水样中的金属离子。
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