Issue 8, 2019

A MoS2–MWCNT based fluorometric nanosensor for exosome detection and quantification

Abstract

Circulating exosomes in body fluids are involved in many diseases and have important roles in pathophysiological processes. Specifically, they have emerged as a promising new class of biomarkers in cancer diagnosis and prognosis because of their high concentration and availability in a variety of biological fluids. The ability to quantitatively detect and characterize these nano-sized vesicles is crucial to make use of exosomes as a reliable biomarker for clinical applications. However, current methods are mostly technically challenging and time-consuming which prevents them from being adopted in clinical practice. In this work, we have developed a rapid sensitive platform for exosome detection and quantification by employing MoS2–multiwall carbon nanotubes as a fluorescence quenching material. This exosome biosensor shows a sensitive and selective biomarker detection. Using this MoS2–MWCNT based fluorometric nanosensor to analyze exosomes derived from MCF-7 breast cancer cells, we found that CD63 expression could be measured based on the retrieved fluorescence of the fluorophore with a good linear response range of 0–15% v/v. In addition, this nanosensing technique is able to quantify exosomes with different surface biomarker expressions and has revealed that exosomes secreted from MCF-7 breast cancer cells have a higher CD24 expression compared to CD63 and CD81.

Graphical abstract: A MoS2–MWCNT based fluorometric nanosensor for exosome detection and quantification

Supplementary files

Article information

Article type
Paper
Submitted
16 Apr 2019
Accepted
18 Jun 2019
First published
19 Jun 2019
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2019,1, 2866-2872

A MoS2–MWCNT based fluorometric nanosensor for exosome detection and quantification

M. Tayebi, M. Tavakkoli Yaraki, H. Y. Yang and Y. Ai, Nanoscale Adv., 2019, 1, 2866 DOI: 10.1039/C9NA00248K

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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