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A DNA‐Based Label‐Free Artificial Tongue for Pattern Recognition of Metal Ions
Author(s) -
Qiu Hao,
Pu Fang,
Ran Xiang,
Ren Jinsong,
Qu Xiaogang
Publication year - 2017
Publication title -
chemistry – a european journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.687
H-Index - 242
eISSN - 1521-3765
pISSN - 0947-6539
DOI - 10.1002/chem.201702342
Subject(s) - analyte , metal ions in aqueous solution , electronic tongue , principal component analysis , fluorescence , ion , sensor array , dna , biological system , materials science , metal , chemistry , analytical chemistry (journal) , computer science , artificial intelligence , chromatography , optics , biochemistry , physics , biology , organic chemistry , machine learning , taste
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.