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Assembly-enhanced fluorescence from metal nanoclusters and quantum dots for highly sensitive biosensing

•Fluorescent method for biosensing of Zn2+, pyrophosphate, and alkaline phosphatase activity.•Real-time detection based on assembly-induced fluorescence enhancement by gold nanoclusters or quantum dots.•Capable of screening enzyme inhibitor and analyzing biological samples.•Sensitive assay of alkali...

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Bibliographic Details
Published in:Sensors and actuators. B, Chemical Chemical, 2019-01, Vol.279, p.334-341
Main Authors: Liu, Yahua, Dong, Ping, Jiang, Qunying, Wang, Fuan, Pang, Dai-Wen, Liu, Xiaoqing
Format: Article
Language:English
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Summary:•Fluorescent method for biosensing of Zn2+, pyrophosphate, and alkaline phosphatase activity.•Real-time detection based on assembly-induced fluorescence enhancement by gold nanoclusters or quantum dots.•Capable of screening enzyme inhibitor and analyzing biological samples.•Sensitive assay of alkaline phosphatase with a detection limit of 3.4 pM. Fluorescent nanoparticles exhibit unique optical properties for applications in imaging and sensing. Herein, the enhancement of luminescence emission from self-assembled nanoparticles including gold nanoclusters, cadmium sulphide and near-infrared silver selenide quantum dots are reported. Addition of zinc and pyrophosphate ions induces assembly and disassembly of the particle aggregates and the corresponding intensified and recovery of fluorescence intensity, respectively. The enhancement is due to assembly-enhanced emission of metal nanoclusters and passivation of the surface trap states of quantum dots. With the hydrolysis of pyrophosphate catalyzed by alkaline phosphatase, the released zinc ions from pyrophosphate-zinc ion complexes mediate nanoparticle assembly and lead to luminescence regeneration. The assembly-induced fluorescence enhancement can be applied for sensitive assay of alkaline phosphatase with a detection limit of 3.4 pM in a continuous and real-time way. This method is capable of screening enzyme inhibitor and analyzing biological samples.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2018.10.016