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Pathogenic Virus Detection by Optical Nanobiosensors.
Song, Menglin; Yang, Mo; Hao, Jianhua.
  • Song M; Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, P.R. China.
  • Yang M; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, P.R. China.
  • Hao J; Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, P.R. China.
Cell Rep Phys Sci ; 2(1): 100288, 2021 Jan 20.
Article in English | MEDLINE | ID: covidwho-1009942
ABSTRACT
The novel coronavirus pandemic is sweeping the world and causing global crises. The lack of effective methods of early diagnosis and accurate detection may result in severe infection as well as mortality. Therefore, it is urgently required that rapid, selective, and accurate techniques for detecting pathogenic viruses are developed. Nanotechnology-based biosensors are finding many applications in biological detection, which may address these issues and realize direct detection of molecular targets in real time. Among various nanoplatforms, optical nanobiosensors have aroused much interest due to their inherent advantages of high sensitivity and direct readout. In this review, a summary of recent progress on the optical biosensors based on nanotechnology for pathogenic virus detection is provided, with focus on quantum dots (QDs), upconversion nanoparticles (UCNPs), noble metal nanoparticles, and organic fluorescent molecules-based nanoprobes and chemiluminescence assays. These representative studies demonstrate appealing performance as biosensors and hold great promise for clinical diagnosis.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: Cell Rep Phys Sci Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: Cell Rep Phys Sci Year: 2021 Document Type: Article