Literature DB >> 35064839

Rapid fluorescent color analysis of copper ions on a smart phone via ratiometric fluorescence sensor.

Xia Wu1, Xufeng Meng1, Baoxiu Hou1, Zhong Sun2, Yunyi Zhang1, Ming Li3.   

Abstract

A smartphone-assisted fluorescence color sensing system for rapid, convenient, and on-site detection of copper ions was developed. The ratiometric fluorescence sensor was fabricated by using silica-coated blue-light-emitting carbon dots and surface-grafted red-light-emitting cadmium-telluride quantum dots. After exposure to Cu2+ in 20 s, the red fluorescence was quenched obviously, while the blue fluorescence remained unchanged, and the sensor color changes continuously from red to blue under the ultraviolet lamp. The concentration (50-1200 nM) of copper ions could be measured by the fluorescence spectrum (excitation at 360 nm, dual-emission at 441 and 640 nm) with a detection limit of 7.7 nM. The fluorescence colors were converted to digital RGB values to calculate the concentration of copper ions by a smartphone with a detection limit of 9.6 nM. The method was applied to detecting copper ions spiked in real samples with recovery from 97.9 to 108.0% and RSD from 3.8 to 8.9%. Thus, this convenient and practical fluorescence color sensing system presents a new strategy for rapid, sensitive, and on-site determination of copper ions in environmental or biological samples.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Copper determination; Ratiometric fluorescence sensor; Smartphone-assisted detection; Visual detection

Mesh:

Substances:

Year:  2022        PMID: 35064839     DOI: 10.1007/s00604-022-05166-z

Source DB:  PubMed          Journal:  Mikrochim Acta        ISSN: 0026-3672            Impact factor:   5.833


  1 in total

1.  Bifunctional Nitrogen and Fluorine Co-Doped Carbon Dots for Selective Detection of Copper and Sulfide Ions in Real Water Samples.

Authors:  Yutian Zeng; Zhibin Xu; Jiaqing Guo; Xiantong Yu; Pengfei Zhao; Jun Song; Junle Qu; Yu Chen; Hao Li
Journal:  Molecules       Date:  2022-08-12       Impact factor: 4.927

  1 in total

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