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  5. Biomimetic Assembly of a Polydopamine Layer on Graphene as an Electron Gate for Fluorescent MicroRNA Detection in Living Cells

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Article
en
2019

Biomimetic Assembly of a Polydopamine Layer on Graphene as an Electron Gate for Fluorescent MicroRNA Detection in Living Cells

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en
2019
Vol 21 (6)
Vol. 21
DOI: 10.1002/cbic.201900548

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Abdullah Mohamed Asiri
Abdullah Mohamed Asiri

King Abdulaziz University

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Xinyi Li
Ting Wang
Yonglan Luo
+3 more

Abstract

A novel strategy was developed for microRNA detection based on the fluorescence quenching of polydopamine (PDA)-coated reduced graphene oxide (RGO) nanosheets (RGO@PDA). Compared with graphene oxide (GO), the reduction of GO and modification of the surface of RGO by PDA not only improve the stability, dispersity, biocompatibility, and cellular uptake without degeneration of the unique electronic properties of graphene, but also add an electron gate for harvesting electrons, as well as enabling efficient and forward electron transfer to avoid unwanted electron transfer and realize highly sensitive miRNA detection; thus a lower detection limit can be achieved in this sensing system. Remarkably, nanoprobes consisting of RGO@PDA and fluorescein-labeled single-stranded DNA can naturally enter cancer cells without the aid of transfection agents, as well as resisting enzymatic lysis and showing almost no effect on the cell viability. More importantly, intense and time-dependent fluorescence responses were observed from the important tumor marker microRNA-21 (miR-21) in living cells; thus suggesting that the proposed sensing platform shows great promise for applications in disease diagnosis and fundamental research into biochemistry.

How to cite this publication

Xinyi Li, Ting Wang, Yonglan Luo, Abdullah Mohamed Asiri, Song Chen, Xuping Sun (2019). Biomimetic Assembly of a Polydopamine Layer on Graphene as an Electron Gate for Fluorescent MicroRNA Detection in Living Cells. , 21(6), DOI: https://doi.org/10.1002/cbic.201900548.

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Publication Details

Type

Article

Year

2019

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/cbic.201900548

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