Emerging biosensing technologies for the diagnostics of viral infectious diseases

Abstract: Several viral infectious diseases appear limitless since the beginning of the 21st century, expanding into pandemic lengths. Thus, there are extensive efforts to provide more efficient means of diagnosis, a better understanding of acquired immunity, and improved monitoring of inflammatory biomarkers, as these are all crucial for controlling the spread of infection while aiding in vaccine development and improving patient outcomes. In this regard, various biosensors have been developed recently to streamline pathogen and immune response detection by addressing the limitations of traditional methods, including isothermal amplification-based systems and lateral flow assays. This review explores state-of-the-art biosensors for detecting viral pathogens, serological assays, and inflammatory biomarkers from the material perspective, by discussing their advantages, limitations, and further potential regarding their analytical performance, clinical utility, and point-of-care adaptability. Additionally, next-generation biosensing technologies that offer better sensitivity and selectivity, and easy handling for end-users are highlighted. An emerging example of these next-generation biosensors are those powered by novel synthetic biology tools, such as clustered regularly interspaced short palindromic repeats (CRISPR) with CRISPR-associated proteins (Cas), in combination with integrated point-of-care devices. Lastly, the current challenges are discussed and a roadmap for furthering these advanced biosensing technologies to manage future pandemics is provided

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Advanced materials. - 34, 30 (2022) , 2201085, ISSN: 1521-4095

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2022
Urheber
Kabay, Gozde
DeCastro, Jonalyn
Altay, Alara
Smith, Kasey
Lu, Hsiang‐Wei
Capossela, Antonia McDonnell
Moarefian, Maryam
Aran, Kiana
Dincer, Can

DOI
10.1002/adma.202201085
URN
urn:nbn:de:bsz:25-freidok-2285371
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:53 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
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Beteiligte

  • Kabay, Gozde
  • DeCastro, Jonalyn
  • Altay, Alara
  • Smith, Kasey
  • Lu, Hsiang‐Wei
  • Capossela, Antonia McDonnell
  • Moarefian, Maryam
  • Aran, Kiana
  • Dincer, Can
  • Universität

Entstanden

  • 2022

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