Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care
The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/11/7/206 |
| _version_ | 1797528999396638720 |
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| author | Md Alamgir Kabir Hussein Zilouchian Muhammad Awais Younas Waseem Asghar |
| author_facet | Md Alamgir Kabir Hussein Zilouchian Muhammad Awais Younas Waseem Asghar |
| author_sort | Md Alamgir Kabir |
| collection | DOAJ |
| description | The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV. |
| first_indexed | 2024-03-10T10:07:12Z |
| format | Article |
| id | doaj.art-156754e092e949bd9000948289785c26 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-10T10:07:12Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-156754e092e949bd9000948289785c262023-11-22T01:27:22ZengMDPI AGBiosensors2079-63742021-06-0111720610.3390/bios11070206Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of CareMd Alamgir Kabir0Hussein Zilouchian1Muhammad Awais Younas2Waseem Asghar3Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USAAsghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USAServices Institute of Medical Sciences, Lahore 54000, PakistanAsghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USAThe dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV.https://www.mdpi.com/2079-6374/11/7/206denguediagnosticspoint-of-care |
| spellingShingle | Md Alamgir Kabir Hussein Zilouchian Muhammad Awais Younas Waseem Asghar Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care Biosensors dengue diagnostics point-of-care |
| title | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
| title_full | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
| title_fullStr | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
| title_full_unstemmed | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
| title_short | Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care |
| title_sort | dengue detection advances in diagnostic tools from conventional technology to point of care |
| topic | dengue diagnostics point-of-care |
| url | https://www.mdpi.com/2079-6374/11/7/206 |
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