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Biosensors for the Detection of Bacterial and Viral Clinical Pathogens.
Castillo-Henríquez, Luis; Brenes-Acuña, Mariana; Castro-Rojas, Arianna; Cordero-Salmerón, Rolando; Lopretti-Correa, Mary; Vega-Baudrit, José Roberto.
  • Castillo-Henríquez L; National Center for High Technology (CeNAT), National Laboratory of Nanotechnology (LANOTEC), San José 1174-1200, Costa Rica.
  • Brenes-Acuña M; Physical Chemistry Laboratory, Faculty of Pharmacy, University of Costa Rica, San José 11501-2060, Costa Rica.
  • Castro-Rojas A; Chemistry School, National University of Costa Rica, Heredia 86-3000, Costa Rica.
  • Cordero-Salmerón R; Chemistry School, National University of Costa Rica, Heredia 86-3000, Costa Rica.
  • Lopretti-Correa M; Chemistry School, National University of Costa Rica, Heredia 86-3000, Costa Rica.
  • Vega-Baudrit JR; Nuclear Research Center, Faculty of Science, Universidad de la República (UdelaR), Montevideo 11300, Uruguay.
Sensors (Basel) ; 20(23)2020 Dec 04.
Article in English | MEDLINE | ID: covidwho-965897
ABSTRACT
Biosensors are measurement devices that can sense several biomolecules, and are widely used for the detection of relevant clinical pathogens such as bacteria and viruses, showing outstanding results. Because of the latent existing risk of facing another pandemic like the one we are living through due to COVID-19, researchers are constantly looking forward to developing new technologies for diagnosis and treatment of infections caused by different bacteria and viruses. Regarding that, nanotechnology has improved biosensors' design and performance through the development of materials and nanoparticles that enhance their affinity, selectivity, and efficacy in detecting these pathogens, such as employing nanoparticles, graphene quantum dots, and electrospun nanofibers. Therefore, this work aims to present a comprehensive review that exposes how biosensors work in terms of bacterial and viral detection, and the nanotechnological features that are contributing to achieving a faster yet still efficient COVID-19 diagnosis at the point-of-care.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bacteria / Viruses / Biosensing Techniques Type of study: Diagnostic study / Prognostic study Limits: Animals / Humans Language: English Year: 2020 Document Type: Article Affiliation country: S20236926

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bacteria / Viruses / Biosensing Techniques Type of study: Diagnostic study / Prognostic study Limits: Animals / Humans Language: English Year: 2020 Document Type: Article Affiliation country: S20236926