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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1016/j.bej.2021.108200
|2 doi
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|a eng
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1 |
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|a Campos-Ferreira, D
|e verfasserin
|4 aut
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| 245 |
1 |
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|a COVID-19 challenges
|b From SARS-CoV-2 infection to effective point-of-care diagnosis by electrochemical biosensing platforms
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| 264 |
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|c 2021
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| 336 |
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 27.12.2022
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2021 Elsevier B.V. All rights reserved.
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|a In January 2020, the World Health Organization (WHO) identified a new zoonotic virus, SARS-CoV-2, responsible for causing the COVID-19 (coronavirus disease 2019). Since then, there has been a collaborative trend between the scientific community and industry. Multidisciplinary research networks try to understand the whole SARS-CoV-2 pathophysiology and its relationship with the different grades of severity presented by COVID-19. The scientific community has gathered all the data in the quickly developed vaccines that offer a protective effect for all variants of the virus and promote new diagnostic alternatives able to have a high standard of efficiency, added to shorter response analysis time and portability. The industry enters in the context of accelerating the path taken by science until obtaining the final product. In this review, we show the principal diagnostic methods developed during the COVID-19 pandemic. However, when we observe the diagnostic tools section of an efficient infection outbreak containment report and the features required for such tools, we could observe a highlight of electrochemical biosensing platforms. Such devices present a high standard of analytical performance, are low-cost tools, easy to handle and interpret, and can be used in the most remote and low-resource regions. Therefore, probably, they are the ideal point-of-care diagnostic tools for pandemic scenarios
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|a Journal Article
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|a Review
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|a COVID-19
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| 650 |
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|a Electrochemical biosensors
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| 650 |
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4 |
|a Infectious diseases
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| 650 |
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4 |
|a SARS-CoV-2
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| 650 |
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|a Smart diagnostic tools
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| 700 |
1 |
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|a Visani, V
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Córdula, C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Nascimento, G A
|e verfasserin
|4 aut
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| 700 |
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|a Montenegro, L M L
|e verfasserin
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| 700 |
1 |
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|a Schindler, H C
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|a Cavalcanti, I M F
|e verfasserin
|4 aut
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|i Enthalten in
|t Biochemical engineering journal
|d 1998
|g 176(2021) vom: 01. Dez., Seite 108200
|w (DE-627)NLM098270710
|x 1369-703X
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|g volume:176
|g year:2021
|g day:01
|g month:12
|g pages:108200
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|u http://dx.doi.org/10.1016/j.bej.2021.108200
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