An ultrasensitive fluorescence aptasensor for SARS-CoV-2 antigen based on hyperbranched rolling circle amplification

Copyright © 2022 Elsevier B.V. All rights reserved..

Sensitive and accurate diagnosis of SARS-CoV-2 infection at early stages can help to attenuate the effects of the COVID-19. Compared to RNA and antibodies detection, direct detection of viral antigens could reflect infectivity more appropriately. However, it is still a great challenge to construct a convenient, accurate and sensitive biosensor with a suitable molecular recognition element for SARS-CoV-2 antigens. Herein, we report a HRCA-based aptasensor for simple, ultrasensitive and quantitative detection of SARS-CoV-2 S1 protein and pseudovirus. The aptamer sequence used here is selected from several published aptamers by enzyme-linked oligonucleotide assay and molecular docking simulation. The sensor forms an antibody-target-aptamer sandwich complex on the surface of microplates and elicits HRCA for fluorescent detection. Without complicated operations or special instruments and reagents, the aptasensor can detect S1 protein with a LOD of 89.7 fg/mL in the linear range of 100 fg/mL to 1 μg/mL. And it can also detect SARS-CoV-2 spike pseudovirus in artificial saliva with a LOD of 51 TU/μL. Therefore, this simple and ultrasensitive aptasensor has the potential to detect SARS-CoV-2 infection at early stages. It may improve the timeliness and accuracy of SARS-CoV-2 diagnosis and demonstrate a strategy to conduct aptasensors for other targets.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:255

Enthalten in:

Talanta - 255(2023) vom: 01. Apr., Seite 124221

Sprache:

Englisch

Beteiligte Personen:

Wang, Zecheng [VerfasserIn]
Zhang, Chenchen [VerfasserIn]
He, Si [VerfasserIn]
Xu, Danke [VerfasserIn]

Links:

Volltext

Themen:

Aptamers, Nucleotide
Aptasensor
HRCA
Journal Article
Pseudovirus
S1-protein
SARS-CoV-2

Anmerkungen:

Date Completed 24.01.2023

Date Revised 02.02.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.talanta.2022.124221

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM351195297