Issue 36, 2020

A highly sensitive aptasensor for vascular endothelial growth factor based on fluorescence resonance energy transfer from upconversion nanoparticles to MoS2 nanosheets

Abstract

A novel sensitive aptasensor for vascular endothelial growth factor-165 (VEGF165) was constructed based on fluorescence resonance energy transfer (FRET) by employing upconversion nanoparticles (UCNPs) and MoS2 nanosheets as the energy donor and acceptor, respectively. The upconversion fluorescence resonance energy transfer (UC-FRET) was triggered by the physical adsorption interaction between the aptamer and MoS2 nanosheets, leading to a remarkable quenching of UCNP fluorescence up to 95%. Upon addition of VEGF165 to the UCNP–aptamer system before MoS2 nanosheets were added, the aptamer preferentially bound to VEGF165 with the change of spatial conformation, which weakened the van der Waals' force between the MoS2 nanosheets and the aptamer, thus leading to the separation of the donor and the acceptor. Consequently, the FRET phenomenon was inhibited and the luminescence of UCNPs was regained, which was linearly related to the concentration of VEGF165 in the range of 0.1 ng mL−1 to 16 ng mL−1. By taking advantage of the extreme fluorescence quenching ability of MoS2 nanosheets and the optical merits of UCNPs, the aptasensor based on UC-FRET exhibited favorable performance for the homogeneous assay of VEGF165 in human serum, which is of great value for clinical diagnosis of tumors and related biological studies.

Graphical abstract: A highly sensitive aptasensor for vascular endothelial growth factor based on fluorescence resonance energy transfer from upconversion nanoparticles to MoS2 nanosheets

Article information

Article type
Paper
Submitted
28 May 2020
Accepted
04 Aug 2020
First published
21 Aug 2020

Anal. Methods, 2020,12, 4466-4472

A highly sensitive aptasensor for vascular endothelial growth factor based on fluorescence resonance energy transfer from upconversion nanoparticles to MoS2 nanosheets

Y. Yuan, H. Yu and Y. Yin, Anal. Methods, 2020, 12, 4466 DOI: 10.1039/D0AY01067G

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