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Research Article

A strategy for accurate detection of glucose in human serum and whole blood based on an upconversion nanoparticles-polydopamine nanosystem

Yan Liu1,2Datao Tu1Wei Zheng1( )Lianyu Lu1Wenwu You1,2Shanyong Zhou1Ping Huang1Renfu Li1Xueyuan Chen1,2( )
CAS Key Laboratory of Design and Assembly of Functional Nanostructuresand Fujian Key Laboratory of NanomaterialsFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou350002China
University of Chinese Academy of SciencesBeijing100049China
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Abstract

The accurate detection of blood glucose is of critical importance in the diagnosis and management of diabetes and its complications. Herein, we report a novel strategy based on an upconversion nanoparticles-polydopamine (UCNPs-PDA) nanosystem for the accurate detection of glucose in human serum and whole blood through a simple blending of test samples with ligand-free UCNPs, dopamine, and glucose oxidase (GOx). Owing to the high affinity of lanthanide ions exposed on the surface of ligand-free UCNPs, dopamine monomers could spontaneously attach to the UCNPs and further polymerize to form a PDA shell, resulting in a remarkable upconversion luminescence (UCL) quenching (97.4%) of UCNPs under 980-nm excitation. Such UCL quenching can be effectively inhibited by H2O2 produced from the GOx/glucose enzymatic reaction, thus enabling the detection of H2O2 or glucose based on the UCL quenching/inhibition bioassay. Owing to the highly sensitive UCL response and background-free interference of the UCNPs-PDA nanosystem, we achieved a sensitive, selective, and high-throughput bioassay for glucose in human serum and whole blood, thereby revealing the great potential of the UCNPs-PDA nanosystem for the accurate detection of blood glucose or other H2O2-generated biomolecules in clinical bioassays.

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Nano Research
Pages 3164-3174
Cite this article:
Liu Y, Tu D, Zheng W, et al. A strategy for accurate detection of glucose in human serum and whole blood based on an upconversion nanoparticles-polydopamine nanosystem. Nano Research, 2018, 11(6): 3164-3174. https://doi.org/10.1007/s12274-017-1721-1
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Received: 17 April 2017
Revised: 02 June 2017
Accepted: 10 June 2017
Published: 22 May 2018
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2017
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