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Virus detection using bio-based analysis systems: a review of biorecognition strategies
Infectious illnesses are on the rise in today’s world, with serious consequences for animals, plants, and humans. Several infections, including the human immunodeficiency virus, affect a large number of individuals in various countries, particularly in the poorer portions of contemporary society, an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific and Technological Research Council of Turkey (TUBITAK)
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446939/ https://www.ncbi.nlm.nih.gov/pubmed/37621347 http://dx.doi.org/10.55730/1300-0527.3481 |
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author | KILIÇ, Nur Melis ODACI DEMİRKOL, Dilek |
author_facet | KILIÇ, Nur Melis ODACI DEMİRKOL, Dilek |
author_sort | KILIÇ, Nur Melis |
collection | PubMed |
description | Infectious illnesses are on the rise in today’s world, with serious consequences for animals, plants, and humans. Several infections, including the human immunodeficiency virus, affect a large number of individuals in various countries, particularly in the poorer portions of contemporary society, and continue to cause a variety of health problems. Viruses are tiny parasitic organisms. They are infectious agents that can only reproduce within a live cell of an organism. Viruses may infect any living organism. For clinical point-of-care applications, early detections for harmful agents such as bacteria, viruses are critical. The possibility of worldwide epidemics as a result of viral propagation emphasizes the importance of creating speedy, precise, and sensitive early detection systems. Furthermore, because certain viruses have a long latent phase and can evolve from one person to another, early detection during the incubation period is critical for improving recovery rates and avoiding pandemics. Nowadays, there has been various bio-based detection systems that have rapid reaction times, user-friendly, cost-effective, and repeatable. In this review, biological molecule-based detection technologies which focus on virus analysis are examined. |
format | Online Article Text |
id | pubmed-10446939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Scientific and Technological Research Council of Turkey (TUBITAK) |
record_format | MEDLINE/PubMed |
spelling | pubmed-104469392023-08-24 Virus detection using bio-based analysis systems: a review of biorecognition strategies KILIÇ, Nur Melis ODACI DEMİRKOL, Dilek Turk J Chem Review Article Infectious illnesses are on the rise in today’s world, with serious consequences for animals, plants, and humans. Several infections, including the human immunodeficiency virus, affect a large number of individuals in various countries, particularly in the poorer portions of contemporary society, and continue to cause a variety of health problems. Viruses are tiny parasitic organisms. They are infectious agents that can only reproduce within a live cell of an organism. Viruses may infect any living organism. For clinical point-of-care applications, early detections for harmful agents such as bacteria, viruses are critical. The possibility of worldwide epidemics as a result of viral propagation emphasizes the importance of creating speedy, precise, and sensitive early detection systems. Furthermore, because certain viruses have a long latent phase and can evolve from one person to another, early detection during the incubation period is critical for improving recovery rates and avoiding pandemics. Nowadays, there has been various bio-based detection systems that have rapid reaction times, user-friendly, cost-effective, and repeatable. In this review, biological molecule-based detection technologies which focus on virus analysis are examined. Scientific and Technological Research Council of Turkey (TUBITAK) 2022-08-02 /pmc/articles/PMC10446939/ /pubmed/37621347 http://dx.doi.org/10.55730/1300-0527.3481 Text en © TÜBİTAK https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Review Article KILIÇ, Nur Melis ODACI DEMİRKOL, Dilek Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title | Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title_full | Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title_fullStr | Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title_full_unstemmed | Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title_short | Virus detection using bio-based analysis systems: a review of biorecognition strategies |
title_sort | virus detection using bio-based analysis systems: a review of biorecognition strategies |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446939/ https://www.ncbi.nlm.nih.gov/pubmed/37621347 http://dx.doi.org/10.55730/1300-0527.3481 |
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