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Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants

An outbreak of the coronavirus disease caused by a novel pathogen created havoc and continues to affect the entire world. As the pandemic progressed, the scientific community was faced by the limitations of existing diagnostic methods. In this review, we have compared the existing diagnostic techniq...

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Autores principales: Sharma, Shagun, Shrivastava, Surabhi, Kausley, Shankar B., Rai, Beena, Pandit, Aniruddha B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038995/
https://www.ncbi.nlm.nih.gov/pubmed/35471631
http://dx.doi.org/10.1007/s15010-022-01819-6
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author Sharma, Shagun
Shrivastava, Surabhi
Kausley, Shankar B.
Rai, Beena
Pandit, Aniruddha B.
author_facet Sharma, Shagun
Shrivastava, Surabhi
Kausley, Shankar B.
Rai, Beena
Pandit, Aniruddha B.
author_sort Sharma, Shagun
collection PubMed
description An outbreak of the coronavirus disease caused by a novel pathogen created havoc and continues to affect the entire world. As the pandemic progressed, the scientific community was faced by the limitations of existing diagnostic methods. In this review, we have compared the existing diagnostic techniques such as reverse transcription polymerase chain reaction (RT-PCR), antigen and antibody detection, computed tomography scan, etc. and techniques in the research phase like microarray, artificial intelligence, and detection using novel materials; on the prospect of sample preparation, detection procedure (qualitative/quantitative), detection time, screening efficiency, cost-effectiveness, and ability to detect different variants. A detailed comparison of different techniques showed that RT-PCR is still the most widely used and accepted coronavirus detection method despite certain limitations (single gene targeting- in context to mutations). New methods with similar efficiency that could overcome the limitations of RT-PCR may increase the speed, simplicity, and affordability of diagnosis. In addition to existing devices, we have also discussed diagnostic devices in the research phase showing high potential for clinical use. Our approach would be of enormous benefit in selecting a diagnostic device under a given scenario, which would ultimately help in controlling the current pandemic caused by the coronavirus, which is still far from over with new variants emerging.
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spelling pubmed-90389952022-04-26 Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants Sharma, Shagun Shrivastava, Surabhi Kausley, Shankar B. Rai, Beena Pandit, Aniruddha B. Infection Review An outbreak of the coronavirus disease caused by a novel pathogen created havoc and continues to affect the entire world. As the pandemic progressed, the scientific community was faced by the limitations of existing diagnostic methods. In this review, we have compared the existing diagnostic techniques such as reverse transcription polymerase chain reaction (RT-PCR), antigen and antibody detection, computed tomography scan, etc. and techniques in the research phase like microarray, artificial intelligence, and detection using novel materials; on the prospect of sample preparation, detection procedure (qualitative/quantitative), detection time, screening efficiency, cost-effectiveness, and ability to detect different variants. A detailed comparison of different techniques showed that RT-PCR is still the most widely used and accepted coronavirus detection method despite certain limitations (single gene targeting- in context to mutations). New methods with similar efficiency that could overcome the limitations of RT-PCR may increase the speed, simplicity, and affordability of diagnosis. In addition to existing devices, we have also discussed diagnostic devices in the research phase showing high potential for clinical use. Our approach would be of enormous benefit in selecting a diagnostic device under a given scenario, which would ultimately help in controlling the current pandemic caused by the coronavirus, which is still far from over with new variants emerging. Springer Berlin Heidelberg 2022-04-26 2023 /pmc/articles/PMC9038995/ /pubmed/35471631 http://dx.doi.org/10.1007/s15010-022-01819-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review
Sharma, Shagun
Shrivastava, Surabhi
Kausley, Shankar B.
Rai, Beena
Pandit, Aniruddha B.
Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title_full Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title_fullStr Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title_full_unstemmed Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title_short Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
title_sort coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038995/
https://www.ncbi.nlm.nih.gov/pubmed/35471631
http://dx.doi.org/10.1007/s15010-022-01819-6
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