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  1. Home
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  5. Current Advances in Nanomaterial-associated Micro and Nano-devices for SARS-CoV-2 Detection
 
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Current Advances in Nanomaterial-associated Micro and Nano-devices for SARS-CoV-2 Detection

Journal
Current Nanoscience
ISSN
15734137
Date Issued
2023-01-01
Author(s)
Dhahi T.S.
Adam T.
Subash Chandra Bose Gopinath
Universiti Malaysia Perlis
Uda Hashim
Universiti Malaysia Perlis
Mohammed A.M.
Mohammed M.
Uda M.N.A.
DOI
10.2174/1573413719666230124144535
Handle (URI)
https://hdl.handle.net/20.500.14170/6579
Abstract
COVID-19 spread rapidly around the world in 18 months, with various forms of vari-ants caused by severe acute respiratory syndrome (SARS-CoV). This has put pressure on the world community and created an urgent need for understanding its early occurrence through rapid, simple, cheap, and yet highly accurate diagnosis. The most widely adopted method as of today is the real-time reverse-transcriptase polymerase chain reaction. This test has shown the potential for rapid testing, but unfortunately, the test is not rapid and, in some cases, displays false negatives or false positives. The nanomaterials play an important role in creating highly sensitive systems, and have been thought to significantly improve the performance of the SARS-CoV-2 protocols. Several biosensors based on micro-and nano-sensors for SARS-CoV-2 detection have been reported, and they employ multi-dimensional hybrids on sensing surfaces with devices having different sizes and geometries. Zero-to-three-dimension nanomaterial hybrids on sensing surfaces, including nanofilm hybrids for SARS-CoV-2 detection, were employed with unprecedented sensitivity and accuracy. Furthermore, the sensors were nanofluidic and mediated high-performance SARS-CoV-2 detection. This breakthrough has brought the possibility of making a biosystem on a chip (Bio-SoC) for rapid, cheap, and point-of-care detection. This review summarises various advancements in nanomaterial-associated nanodevices and meta-surface devices for detecting SARS-CoV-2.
Subjects
  • COVID-19 | dual elect...

File(s)
Research repository notification.pdf (4.4 MB)
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