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一种用于金属离子模式识别的基于DNA的无标记人工舌。

A DNA-Based Label-Free Artificial Tongue for Pattern Recognition of Metal Ions.

作者信息

Qiu Hao, Pu Fang, Ran Xiang, Ren Jinsong, Qu Xiaogang

机构信息

Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China), Fax:(+86) 0431-85262625.

University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China.

出版信息

Chemistry. 2017 Jul 12;23(39):9258-9261. doi: 10.1002/chem.201702342. Epub 2017 Jun 21.

DOI:10.1002/chem.201702342
PMID:28585350
Abstract

An array-based sensing method offers several advantages for detecting various analytes. DNA molecules as sensor elements have attracted considerable interest owing to their unique properties. Here, a label-free sensor array using DNA and commercially available dyes to differentiate metal ions is reported. Based on the different interactions between dye-bound DNA and metal ions, the fluorescence intensities of the sensor elements are changed to different degrees. In this way, fourteen metal ions can be efficiently distinguished by principal component analysis (PCA) and hierarchical cluster analysis (HCA). A highly sensitive discrimination of metal ions with 92.8 % identification accuracy can be achieved. The present work provides a simple and convenient method for the construction of a DNA-based sensor array.

摘要

基于阵列的传感方法在检测各种分析物方面具有诸多优势。作为传感器元件的DNA分子因其独特性质而备受关注。在此,报道了一种使用DNA和市售染料来区分金属离子的无标记传感器阵列。基于染料结合的DNA与金属离子之间的不同相互作用,传感器元件的荧光强度会发生不同程度的变化。通过这种方式,利用主成分分析(PCA)和层次聚类分析(HCA)可以有效区分14种金属离子。能够实现对金属离子的高灵敏度鉴别,识别准确率达92.8%。本工作为构建基于DNA的传感器阵列提供了一种简单便捷的方法。

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