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Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era.
Tekin, Yusuf Samil; Kul, Seyda Mihriban; Sagdic, Osman; Rodthongkum, Nadnudda; Geiss, Brian; Ozer, Tugba.
Afiliação
  • Tekin YS; Department of Biomedical Engineering, Graduate Education Institute, Malatya Turgut Ozal University, 44210, Battalgazi, Malatya, Turkey.
  • Kul SM; Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey.
  • Sagdic O; Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey.
  • Rodthongkum N; Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Bangkok, 10330, Patumwan, Thailand.
  • Geiss B; Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523-1019, USA. brian.geiss@colostate.edu.
  • Ozer T; Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey. tozer@yildiz.edu.tr.
Mikrochim Acta ; 191(6): 320, 2024 05 10.
Article em En | MEDLINE | ID: mdl-38727849
ABSTRACT
The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal-organic frame-based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories antibody-based, antigen-based, nucleic acid-based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Nanoestruturas / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Nanoestruturas / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article