Literature DB >> 35297914

N-gene-complementary antisense-oligonucleotide directed molecular aggregation of dual-colour carbon dots, leading to efficient fluorometric sensing of SARS-COV-2 RNA.

Zach Sheffield1,2, Maha Alafeef1,2,3,4, Parikshit Moitra2, Priyanka Ray1,2, Dipanjan Pan1,2,3,5.   

Abstract

The early stages of the COVID-19 pandemic punctuated the need for rapid, mass testing for early detection of viral infection. Carbon dots are easily synthesized, cost-effective fluorescent nanoparticles whose surface functionalities enable facile conjugation with biorecognition elements suitable for  molecular detection of viral RNA. Herein, we report that a pair of complementary antisense oligonucleotide (ASO) sequences can lead to a highly specific molecular aggregation of dual colour carbon dots (CDs) in the presence of SARS-CoV-2 RNA. The nanoprobes used ASOs highly specific to the N-gene of SARS-COV-2. When the ASOs are conjugated to blue and yellow citric acid-derived CDs, the combination of the ASO-CD pairs facilitates aggregation-induced emission enhancement (AIEE) of the measured fluorescence after hybridization with SARS-CoV-2 RNA. We found the sensor capable of differentiating between MERS-CoV and SARS-CoV-2 samples and was found to have a limit of detection of 81 copies per μL. Additionally, we used dialysis to demonstrate that the change in emission upon aggregation is dependent on the compositional heterogeneity of the conjugated-carbon dot mixture.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35297914     DOI: 10.1039/d1nr07169f

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  1 in total

1.  A Machine Learning Framework for Detecting COVID-19 Infection Using Surface-Enhanced Raman Scattering.

Authors:  Eloghosa Ikponmwoba; Okezzi Ukorigho; Parikshit Moitra; Dipanjan Pan; Manas Ranjan Gartia; Opeoluwa Owoyele
Journal:  Biosensors (Basel)       Date:  2022-08-02
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.