An Artificial Tongue Fluorescent Sensor Array for Identification and Quantitation of Various Heavy Metal Ions

2014 ◽  
Vol 86 (17) ◽  
pp. 8763-8769 ◽  
Author(s):  
Wang Xu ◽  
Changliang Ren ◽  
Chai Lean Teoh ◽  
Juanjuan Peng ◽  
Shubhankar Haribhau Gadre ◽  
...  
2020 ◽  
Vol 159 ◽  
pp. 105406
Author(s):  
Nan Cao ◽  
Jinming Xu ◽  
Huangmei Zhou ◽  
Yu Zhao ◽  
Jianhua Xu ◽  
...  

2018 ◽  
Vol 90 (3) ◽  
pp. 1628-1634 ◽  
Author(s):  
Juanjuan Peng ◽  
Junyao Li ◽  
Wang Xu ◽  
Lu Wang ◽  
Dongdong Su ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Li Li ◽  
Bing Liu ◽  
Zhengbo Chen

In this work, we developed a facile and extensible colorimetric sensor array based on different interactions between methylene blue (MB) and single-stranded DNA (ssDNA) for the discrimination of heavy metal ions.


2019 ◽  
Vol 295 ◽  
pp. 110-116 ◽  
Author(s):  
Zhe Jiao ◽  
Pengfei Zhang ◽  
Hongwei Chen ◽  
Cong Li ◽  
Lina Chen ◽  
...  

RSC Advances ◽  
2016 ◽  
Vol 6 (10) ◽  
pp. 7806-7816 ◽  
Author(s):  
Wenwu Qin ◽  
Wei Dou ◽  
Volker Leen ◽  
Wim Dehaen ◽  
Mark Van der Auweraer ◽  
...  

A BODIPY-based fluorescent sensor for heavy and transition metal ions has been synthesized and spectroscopically characterized.


2022 ◽  
Author(s):  
Zijun Xu ◽  
Yuying Liu ◽  
Jiao Chen ◽  
Xiyuan Wang ◽  
Hao Liu ◽  
...  

Abstract As a large amount of heavy metals leaches into water sources from industrial effluents, heavy metal pollution has become an important factor affecting water quality. To enable the detection of multiple heavy metals, we constructed a pH-regulation fluorescence sensor array. Firstly, by adding a metal chelating agent as receptor, metal ions and carbon quantum dots (CDs) were connected to distinguish between Cr6+, Fe3+, Fe2+, and Hg2+ ions. Thus, the lack of affinity between the indicator functional groups and the analyte was solved. Secondly, by adjusting the pH environment of the solution system, an economical and simple array sensing platform is established, which effectively simplified the array construction. In this study, the SX-model was used in the field of fluorescence sensor array detection for metal ion recognition. Based on the strategy of stepwise prediction, combined with the classification and concentration models, the bottleneck of the unified model in previous studies was broken. This sensor array demonstrated sensitive detection of four heavy metal ions within a concentration range from 1 to 50 µM, with an accuracy of 95.45%. Moreover, it displayed the ability to efficiently identify binary mixed samples with an accuracy of 95.45%. Furthermore, metal ions in 15 real samples (lake water) were effectively discriminated with 100% accuracy. A chelating agent was used to improve the sensitivity of heavy metal ion detection and eventually led to high-precision prediction using the SX-model.


2013 ◽  
Vol 780 ◽  
pp. 74-80 ◽  
Author(s):  
Liang Feng ◽  
Xiao Li ◽  
Hui Li ◽  
Wei Yang ◽  
Liang Chen ◽  
...  

Talanta ◽  
2013 ◽  
Vol 108 ◽  
pp. 103-108 ◽  
Author(s):  
Liang Feng ◽  
Hui Li ◽  
Li-Ya Niu ◽  
Ying-Shi Guan ◽  
Chun-Feng Duan ◽  
...  

2014 ◽  
Vol 2 (43) ◽  
pp. 18488-18496 ◽  
Author(s):  
Yuan Cao ◽  
Liping Ding ◽  
Wenting Hu ◽  
Junxia Peng ◽  
Yu Fang

Surfactant aggregates modulating the cross-reactive responses of bispyrene fluorophore containing hydrophilic spacer for the pattern recognition of multiple heavy metal ions.


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