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Emerging Biosensing Technologies for the Diagnostics of Viral Infectious Diseases

Kabay, Gözde 1; DeCastro, Jonalyn; Altay, Alara; Smith, Kasey; Lu, Hsiang-Wei; Capossela, Antonia McDonnell; Moarefian, Maryam; Aran, Kiana ; Dincer, Can
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)

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. ... mehr


Postprint §
DOI: 10.5445/IR/1000145769
Veröffentlicht am 15.03.2023
Originalveröffentlichung
DOI: 10.1002/adma.202201085
Scopus
Zitationen: 65
Web of Science
Zitationen: 56
Dimensions
Zitationen: 68
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 27.06.2022
Sprache Englisch
Identifikator ISSN: 0935-9648, 1521-4095
KITopen-ID: 1000145769
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Advanced Materials
Verlag John Wiley and Sons
Band 34
Heft 30
Seiten Art.-Nr.: 2201085
Vorab online veröffentlicht am 14.03.2022
Nachgewiesen in Web of Science
Dimensions
Scopus
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