期刊
MICROCHEMICAL JOURNAL
卷 159, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.microc.2020.105406
关键词
Fluorescent sensor array; Ag nanoclusters; Principal component analysis; Heavy metal ions
资金
- National Natural Science Foundation of China [11774096, 21827814]
- 111 project [B12024]
- ECNU Multifunctional Platform for Innovation [003, 004]
The rapid, simple and reliable identification of heavy metal ions has attracted increasing attention of researchers. This work constructed a fluorescent sensor array by using 4 kinds of polymer templated silver nanoclusters (Ag NCs) as the sensing elements. This sensor array can be used for identifying 7 kinds of heavy metal ions including Pb2+, Fe3+, Cu2+, Cd2+, Cr3+, Co2+ and Ni2+. The fluorescence intensity ratios of Ag NCs after and before adding metal ions were applied as the output signals. We used principal component analysis (PCA) to reduce the dimensions of data variables and obtained a PCA scatter plot that could clearly distinguish every kind of 7 metal ions. This sensor array had a good performance when the ions concentration was in the range of 15-800 mu M at pH of 7. The sensor array could also clearly discriminate these 7 heavy metal ions spiked in tap water. The Ag NCs-based sensor array could also be used as a fluorescence lifetime sensor array for the discrimination of metal ions. Taken all together, the developed sensor array holds great promise for practical analysis in the environment.
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