Literature DB >> 31140473

An ultrasensitive and simple assay for the Hepatitis C virus using a reduced graphene oxide-assisted hybridization chain reaction.

Jialong Fan1, Liqun Yuan, Qingxin Liu, Chunyi Tong, Wenmiao Wang, Feng Xiao, Bin Liu, Xuanming Liu.   

Abstract

Hepatitis C virus (HCV) is a major cause of chronic liver disease, which affects 2-3% of the world population. Until now, the early detection of HCV has been a great challenge, especially for those who live in developing countries. In this study, we developed a novel and ultrasensitive assay for the detection of HCV RNA based on the reduced graphene oxide nanosheets (rGONS) and hybridization chain reaction (HCR) amplification technique. This detection system contains a pair of single fluorophore-labeled hairpin probes that can freely exist in the solution in the absence of target RNA. The introduction of target RNA can robustly trigger a HCR with the two probes and produce long nanowires containing a double-stranded structure. The weak adsorption to rGONS makes the long nanowires emit a strong fluorescence. Using this enzyme-free amplification strategy, we developed a new method for the HCV RNA assay with a detection limit of 10 fM, which is far more sensitive than the common GO-based fluorescence method. Furthermore, the new method exhibits high selectivity for the discrimination of perfectly complementary and mismatched sequences. Finally, the new method was successfully used as a HCV RNA assay in biological samples with a strong anti-interference capability in complicated environments. In summary, these remarkable characteristics of the new method highlight its potential use in a clinical sample primary screening.

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Year:  2019        PMID: 31140473     DOI: 10.1039/c9an00179d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  2 in total

1.  A Facile and Sensitive DNA Sensing of Harmful Algal Blooms Based on Graphene Oxide Nanosheets.

Authors:  Le Qiang; Yu Zhang; Chao Wu; Yingkuan Han; Suchun Wang; Yanyan Wang; Congcong Zhang; Guangzhou Liu; Qi Wu; Hong Liu; Ian R Jenkinson; Jun Sun; Lin Han
Journal:  Mar Biotechnol (NY)       Date:  2020-05-02       Impact factor: 3.619

Review 2.  Fluorescent Biosensors for the Detection of Viruses Using Graphene and Two-Dimensional Carbon Nanomaterials.

Authors:  Ahmed M Salama; Ghulam Yasin; Mohammed Zourob; Jun Lu
Journal:  Biosensors (Basel)       Date:  2022-06-27
  2 in total

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