Issue 46, 2018

Ultrasensitive enzyme-free fluorescent detection of VEGF165 based on target-triggered hybridization chain reaction amplification

Abstract

Sensitive detection of vascular endothelial growth factor (VEGF165) is important for early cancer disease diagnosis in the clinic. A sensitive fluorescent sensing platform for VEGF165 detection is developed in this work. It is based on a target-triggered hybridization chain reaction (HCR) and graphene oxide (GO) selective fluorescence quenching. In this assay, in the presence of the VEGF165, the hairpin structure of Hp opens up and the initiation sequence will be exposed to Hp1 to open its hairpin structure. Then the opened Hp1 hybridizes with Hp2 to expose the complementary sequence of Hp1 which hybridizes with Hp1 again by HCR. Thus HCR would be initiated, generating super-long dsDNA. After the HCR, the double strands of the HCR product cannot be adsorbed on the GO surface. As a result, the HCR product gives a strong fluorescence signal which is dependent on the concentration of VEGF165. By using VEGF165 as a model analyte, the assay provides a highly sensitive fluorescence detection method for VEGF165 with a detection limit down to 20 pg mL−1. The proposed aptasensing strategy based on target-triggered HCR amplification can thus be realized. It was successfully applied to the determination of VEGF165 in spiked human serum, urine and saliva. Therefore, it can easily have wide applications in the diagnosis of vital diseases.

Graphical abstract: Ultrasensitive enzyme-free fluorescent detection of VEGF165 based on target-triggered hybridization chain reaction amplification

Supplementary files

Article information

Article type
Paper
Submitted
02 Jun 2018
Accepted
03 Jul 2018
First published
19 Jul 2018
This article is Open Access
Creative Commons BY license

RSC Adv., 2018,8, 25955-25960

Ultrasensitive enzyme-free fluorescent detection of VEGF165 based on target-triggered hybridization chain reaction amplification

Q. Zhou, H. Yan, F. Ran, J. Cao, L. Chen, B. Shang, H. Chen, J. Wei and Q. Chen, RSC Adv., 2018, 8, 25955 DOI: 10.1039/C8RA04721A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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