Current trends in COVID-19 diagnosis and its new variants in physiological fluids: Surface antigens, antibodies, nucleic acids, and RNA sequencing.

Biosensors COVID-19 virus diagnosis Clustered regularly interspaced short palindromic repeats Enzyme-linked immunosorbent assay Lateral flow immunoassay Loop-mediated isothermal amplification Microarray assays Reverse transcriptase-polymerase chain reaction

Journal

Trends in analytical chemistry : TRAC
ISSN: 0165-9936
Titre abrégé: Trends Analyt Chem
Pays: Netherlands
ID NLM: 8105858

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 20 01 2022
revised: 21 06 2022
accepted: 24 07 2022
pubmed: 6 9 2022
medline: 6 9 2022
entrez: 5 9 2022
Statut: ppublish

Résumé

Rapid, highly sensitive, and accurate virus circulation monitoring techniques are critical to limit the spread of the virus and reduce the social and economic burden. Therefore, point-of-use diagnostic devices have played a critical role in addressing the outbreak of COVID-19 (SARS-CoV-2) viruses. This review provides a comprehensive overview of the current techniques developed for the detection of SARS-CoV-2 in various body fluids (e.g., blood, urine, feces, saliva, tears, and semen) and considers the mutations (i.e., Alpha, Beta, Gamma, Delta, Omicron). We classify and comprehensively discuss the detection methods depending on the biomarker measured (i.e., surface antigen, antibody, and nucleic acid) and the measurement techniques such as lateral flow immunoassay (LFIA), enzyme-linked immunosorbent assay (ELISA), reverse transcriptase-polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), microarray analysis, clustered regularly interspaced short palindromic repeats (CRISPR) and biosensors. Finally, we addressed the challenges of rapidly identifying emerging variants, detecting the virus in the early stages of infection, the detection sensitivity, selectivity, and specificity, and commented on how these challenges can be overcome in the future.

Identifiants

pubmed: 36060607
doi: 10.1016/j.trac.2022.116750
pii: S0165-9936(22)00233-3
pmc: PMC9425703
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

116750

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Menna Mostafa (M)

NanoStruc Research Group, Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.

Ahmed Barhoum (A)

National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland.

Ekin Sehit (E)

Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany.

Hossam Gewaid (H)

School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, 152-160 Pearse St, Dublin, D02R590, Ireland.

Eslam Mostafa (E)

Borg Pharmaceutical Industries, Refaat Hassan St, Al Abageyah, El-Khalifa, Cairo Governorate, 16, Egypt.

Mohamed M Omran (MM)

Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.

Mohga S Abdalla (MS)

Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.

Fatehy M Abdel-Haleem (FM)

Chemistry Department, Faculty of Science, Cairo University, 12613, Giza, Egypt.
Center for Hazards Mitigation, Environmental Studies and Research (CHMESR), Cairo University, 12613, Giza, Egypt.

Zeynep Altintas (Z)

Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany.

Robert J Forster (RJ)

National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland.

Classifications MeSH