Issue 32, 2021, Issue in Progress

Ultrasensitive biosensing platform based on luminescence quenching ability of fullerenol quantum dots

Abstract

An ultrasensitive biosensing platform for DNA and ochratoxin A (OTA) detection is constructed based on the luminescence quenching ability of fullerenol quantum dots (FOQDs) for the first time. As the surface of FOQDs is largely covered by hydroxyl groups, stable colloidal suspension of FOQDS in aqueous solution can be obtained, which is very advantageous for application in biosensing compared to nano-C60. FOQDs can effectively quench the fluorescence of dyes with different emission wavelengths that are tagged to bioprobes to an extent of more than 87% in aqueous buffer solution through a PET mechanism. Moreover, the nonspecific quenching of the fluorescent dyes (not bound to bioprobes) caused by FOQDs is negligible, so the background signal is extremely low which is beneficial for improving the detection sensitivity. Based on the π–π stacking interaction between FOQDs and bioprobes, such as single-stranded (ss) DNA and aptamers, a nucleic acid assay with a detection of limit of 15 pM and a highly sensitive OTA assay with a detection limit of 5 pg mL−1 in grape juice samples are developed through the simple “mix and measure” protocol based on luminescence quenching-and-recovery. This is the first demonstration of constructing biosensors utilizing the luminescence quenching ability of FOQDs through a PET mechanism, and the pronounced assay performance implies the promising potential of FOQDs in biosensing.

Graphical abstract: Ultrasensitive biosensing platform based on luminescence quenching ability of fullerenol quantum dots

Supplementary files

Article information

Article type
Paper
Submitted
03 Mar 2021
Accepted
26 May 2021
First published
01 Jun 2021
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2021,11, 19690-19694

Ultrasensitive biosensing platform based on luminescence quenching ability of fullerenol quantum dots

H. Li, H. Pang, L. Zhang, J. Mao, W. Zhang, J. Jiang, P. Li and Q. Zhang, RSC Adv., 2021, 11, 19690 DOI: 10.1039/D1RA01680F

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