A new colorimetric sensor for visible detection of Cu(II) based on photoreductive ability of quantum dots

Quantum dots (QDs) have been widely used to develop analytical methods due to their unique fluorescent and photoelectrochemical characteristics. However, analytical strategies based on their catalytic property are rarely reported. Here, we demonstrate that the photoreductive ability of QDs can be ut...

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Veröffentlicht in:Analytica chimica acta 2018-08, Vol.1021, p.140-146
Hauptverfasser: Li, Haiyu, Bai, Hua, Lv, Qing, Wang, Wan, Wang, Zhijuan, Wei, Hong, Zhang, Qing
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Sprache:eng
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Zusammenfassung:Quantum dots (QDs) have been widely used to develop analytical methods due to their unique fluorescent and photoelectrochemical characteristics. However, analytical strategies based on their catalytic property are rarely reported. Here, we demonstrate that the photoreductive ability of QDs can be utilized to develop a sensitive and selective colorimetric sensor for Cu(II). By using UV irradiation, 3,3′,5,5′-tetramethylbenzidine (TMB) is oxidized to its oxidation product, which can be reduced back to TMB by QDs. The presence of Cu(II) decreases the reductive activity of QDs and results in a color change in a signal-on format. The proposed sensor can be activated using a portable UV lamp or direct sunlight. Under optimized conditions, the detection limit (S/N = 3) is 10 nM via spectrophotometry and 0.1 μM by visible color change. This sensing system was applied to quantify Cu(II) in real samples, such as river water and tap water. Results were in agreement with those obtained using inductively coupled plasma spectrometry (ICP). This study may provide new ideas for the development of QD-based sensors. [Display omitted] •A signal-on colorimetric sensing system based on photoreductive ability of QDs was established.•Sensitive and selective detection of Cu(II) was achieved with developed system.•Detection limit is 10 nM via spectrophotometer and 0.1 μM by visible color change.•Designed sensor was successfully applied for the analysis of real water samples.
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2018.03.011