Bibliographic Details
Title: |
Current trends and new methods of detection of SARS-CoV-2 infection |
Authors: |
Mohammad Mohammadi, Amir Omidi, Hoda Sabati |
Source: |
Cellular, Molecular and Biomedical Reports, Vol 2, Iss 3, Pp 138-150 (2022) |
Publisher Information: |
Global Sciences, 2022. |
Publication Year: |
2022 |
Collection: |
LCC:Medicine |
Subject Terms: |
reverse transcriptase pcr, nanotechnology, crispr, biosensors, artificial intelligence, positron emission tomography, Medicine |
More Details: |
SARS-CoV- 2 is the causative agent of the global pandemic, also known as Covid-19. This virus belongs to a group of coronaviruses and has affected more than ten million people across the globe, causing nearly half a million deaths worldwide. The pandemic has spread worldwide, originating in the Wuhan Hubei province of China in 2019. The disease is a significant challenge as there is no antiviral treatment. This review will address current trends and emerging new methods for detecting SARS-CoV-2 in the laboratoryat present. Reverse transcriptase PCR or RT-PCR is the gold standard for detecting SARS-CoV-2 disease. The seroprevalence of Covid-19 is performed using antibody detection tests using ELISA and antigen detection as rapid tests. In clinical practice, preliminary disease identification is made based on Chest radiographs, computed tomography, and positron emission tomography (PET) scans. As the pandemic has progressed, newer methods of detection like CRISPR, nanotechnology-enabled solutions, and biosensors have emerged as new methods of detecting SARS-CoV-2. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2823-2550 |
Relation: |
https://www.cmbr-journal.com/article_154158_8e33a2f1770fd2e5e821616295329f94.pdf; https://doaj.org/toc/2823-2550 |
DOI: |
10.55705/cmbr.2022.345025.1047 |
Access URL: |
https://doaj.org/article/c3ea05807ae843ecbe506492ffa0187f |
Accession Number: |
edsdoj.3ea05807ae843ecbe506492ffa0187f |
Database: |
Directory of Open Access Journals |