2022
DOI: 10.1088/2399-1984/ac701d
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Trends in nanomaterial-based biosensors for viral detection

Abstract: Pandemics such as COVID-19 have highlighted the importance of point-of-care sensors for testing, tracing and treatment to minimise and manage infection. Biosensors have been widely deployed in portable devices such as glucose sensors and pregnancy tests. Their development for point-of-exposure virus detection or point-of-care devices is anticipated but their reliability for the accurate detection of viruses is critical. Nanomaterials, such as metal nanoparticles, magnetic nanoparticles, quantum dots, carbon-ba… Show more

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Cited by 5 publications
(2 citation statements)
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“…Their compact form factor and efficiency empower healthcare professionals to perform tests at the bedside, in rural or underserved areas, and even in resource-constrained environments. This decentralisation of diagnostic capabilities ensures quicker results, enabling immediate intervention and personalised patient care [80][81][82][83].…”
Section: Advantages Of Mip-based Electrochemical Sensors For Protein ...mentioning
confidence: 99%
“…Their compact form factor and efficiency empower healthcare professionals to perform tests at the bedside, in rural or underserved areas, and even in resource-constrained environments. This decentralisation of diagnostic capabilities ensures quicker results, enabling immediate intervention and personalised patient care [80][81][82][83].…”
Section: Advantages Of Mip-based Electrochemical Sensors For Protein ...mentioning
confidence: 99%
“…Due to the time consuming and meticulous steps involved, the diagnostic accuracy can be easily compromised, hence these tests rely heavily on trained personnel and sophisticated laboratories. Point-of-Care (POC) based detection are currently being developed to overcome the shortcomings of RT-PCR testing due to their advantageous properties such as high sensitivity, high specificity, low cost, and ease of use [7][8][9]. Therefore, the development of diagnostic kits are moving to POC based detection.…”
Section: Introductionmentioning
confidence: 99%