Literature DB >> 23618154

Highly sensitive multiplexed DNA detection using multi-walled carbon nanotube-based multicolor nanobeacon.

Jia Chen1, Yong Huang, Ming Shi, Shulin Zhao, Yanchun Zhao.   

Abstract

A highly sensitive and selective multi-walled carbon nanotube (MWCNT)-based multicolor fluorescent nanobeacon is developed for multiplexed analysis of DNA in homogeneous solution. In this work, three different dye-labeled DNA hairpins were adsorbed on MWCNTs surface via π-stacking, which brings the dyes and MWCNTs into close proximity and leads to the quenching of fluorescence of the dyes. When target DNAs were added to the solution, the target DNAs specifically hybridize with the probes to form stable DNA duplexes, which weakens the interactions between the probes and MWCNTs, and results in the fluorescence recovery of the dyes. By using three 15-mer DNA fragments as proof-of-principle analytes, the proposed method showed good analytical performance. The limits of detection obtained were in the range of 35-42 pM. Moreover, this method also exhibits an excellent ability to discriminate between single nucleotide polymorphisms.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23618154     DOI: 10.1016/j.talanta.2013.02.003

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  Using a fluorescence quenching method to detect DNA adsorption onto single-walled carbon nanotube surfaces.

Authors:  Kazuo Umemura; Shizuma Sato; Gilbert Bustamante; Jing Yong Ye
Journal:  Colloids Surf B Biointerfaces       Date:  2017-09-12       Impact factor: 5.268

2.  2'-O-Methyl molecular beacon: a promising molecular tool that permits elimination of sticky-end pairing and improvement of detection sensitivity.

Authors:  Jiafeng Gao; Yang Li; Wenqin Li; Chaofei Zeng; Fengna Xi; Jiahao Huang; Liang Cui
Journal:  RSC Adv       Date:  2020-11-14       Impact factor: 4.036

3.  DNA Nanoswitch Barcodes for Multiplexed Biomarker Profiling.

Authors:  Arun Richard Chandrasekaran; Molly MacIsaac; Javier Vilcapoma; Clinton H Hansen; Darren Yang; Wesley P Wong; Ken Halvorsen
Journal:  Nano Lett       Date:  2021-01-04       Impact factor: 11.189

  3 in total

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