Revolutionizing SARS-CoV-2 omicron variant detection : Towards faster and more reliable methods

Copyright © 2023 Elsevier B.V. All rights reserved..

The emergence of the highly contagious Omicron variant of SARS-CoV-2 has inflicted significant damage during the ongoing COVID-19 pandemic. This new variant's significant sequence changes and mutations in both proteins and RNA have rendered many existing rapid detection methods ineffective in identifying it accurately. As the world races to control the spread of the virus, researchers are urgently exploring new diagnostic strategies to specifically detect Omicron variants with high accuracy and sensitivity. In response to this challenge, we have compiled a comprehensive overview of the latest reported rapid detection techniques. These techniques include strategies for the simultaneous detection of multiple SARS-CoV-2 variants and methods for selectively distinguishing Omicron variants. By categorizing these diagnostic techniques based on their targets, which encompass protein antigens and nucleic acids, we aim to offer a comprehensive understanding of the utilization of various recognition elements in identifying these targets. We also highlight the advantages and limitations of each approach. Our work is crucial in providing a more nuanced understanding of the challenges and opportunities in detecting Omicron variants and emerging variants.

Media Type:

Electronic Article

Year of Publication:

2024

2023

Publication:

2024

Contained In:

To Main Record - volume:266

Contained In:

Talanta - 266(2023), Pt 1 vom: 01. Jan., Seite 124937

Language:

English

Contributors:

Li, Dan [Author]
Sun, Cai [Author]
Zhuang, Pengfei [Author]
Mei, Xifan [Author]

Links:

Volltext

Keywords:

Antigen
Diagnosis
Effective and rapid test
Journal Article
Nucleic acid
Omicron variants
Review
Variable targets

Notes:

Date Completed 20.09.2023

Date Revised 20.09.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.talanta.2023.124937

funding:

Supporting institution / Project title:

PPN (Catalogue-ID):

NLM359887902