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Biosensors as nano-analytical tools for COVID-19 detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018632" target="_blank" >RIV/62690094:18450/21:50018632 - isvavai.cz</a>

  • Alternative codes found

    RIV/62690094:18470/21:50018632 RIV/00179906:_____/21:10437062

  • Result on the web

    <a href="https://www.mdpi.com/1424-8220/21/23/7823" target="_blank" >https://www.mdpi.com/1424-8220/21/23/7823</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/s21237823" target="_blank" >10.3390/s21237823</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biosensors as nano-analytical tools for COVID-19 detection

  • Original language description

    Selective, sensitive and affordable techniques to detect disease and underlying health is- sues have been developed recently. Biosensors as nanoanalytical tools have taken a front seat in this context. Nanotechnology-enabled progress in the health sector has aided in disease and pandemic management at a very early stage efficiently. This report reflects the state-of-the-art of nanobiosen- sor-based virus detection technology in terms of their detection methods, targets, limits of detection, range, sensitivity, assay time, etc. The article effectively summarizes the challenges with traditional technologies and newly emerging biosensors, including the nanotechnology-based detection kit for COVID-19; optically enhanced technology; and electrochemical, smart and wearable enabled nano- biosensors. The less explored but crucial piezoelectric nanobiosensor and the reverse transcription- loop mediated isothermal amplification (RT-LAMP)-based biosensor are also discussed here. The article could be of significance to researchers and doctors dedicated to developing potent, versatile biosensors for the rapid identification of COVID-19. This kind of report is needed for selecting suit- able treatments and to avert epidemics. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21101 - Food and beverages

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sensors

  • ISSN

    1424-8220

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    26

  • Pages from-to

    "Article number: 7823"

  • UT code for WoS article

    000735129900001

  • EID of the result in the Scopus database

    2-s2.0-85119677466