Novel biosensing methodologies for ultrasensitive detection of viruses

Various infectious diseases caused by the spread of viruses create adverse implications on global biosecurity. Increasing demands for virus surveillance and effective control of the spread of diseases reveal the need for rapid and sensitive virus diagnostic devices. Due to the remarkable sensitivity...

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Main Authors: Cheng, Ming Soon, Toh, Chee-Seng
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2016
Online Access:https://hdl.handle.net/10356/81968
http://hdl.handle.net/10220/41064
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-819682020-03-07T12:31:28Z Novel biosensing methodologies for ultrasensitive detection of viruses Cheng, Ming Soon Toh, Chee-Seng School of Physical and Mathematical Sciences Various infectious diseases caused by the spread of viruses create adverse implications on global biosecurity. Increasing demands for virus surveillance and effective control of the spread of diseases reveal the need for rapid and sensitive virus diagnostic devices. Due to the remarkable sensitivity and specificity of biosensors, they appear as a potential and promising tool for accurate and quantitative detection of viruses. Furthermore, recent advancements in transduction systems, nanotechnology and genetic engineering offer various strategies to improve the detection performance of biosensors. This review presents an overview of the current states of novel biosensing methodologies for the ultrasensitive detection of viruses with highly promising applications for future disease diagnosis. Additionally, a brief summary of the recent state-of-the-art virus diagnostic molecular technologies is included. ASTAR (Agency for Sci., Tech. and Research, S’pore) 2016-08-04T09:21:53Z 2019-12-06T14:43:56Z 2016-08-04T09:21:53Z 2019-12-06T14:43:56Z 2013 Journal Article Cheng, M. S., & Toh, C.-S. (2013). Novel biosensing methodologies for ultrasensitive detection of viruses. The Analyst, 138(21), 6219-6229. https://hdl.handle.net/10356/81968 http://hdl.handle.net/10220/41064 10.1039/c3an01394d en The Analyst © 2013 The Royal Society of Chemistry. 11 p.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description Various infectious diseases caused by the spread of viruses create adverse implications on global biosecurity. Increasing demands for virus surveillance and effective control of the spread of diseases reveal the need for rapid and sensitive virus diagnostic devices. Due to the remarkable sensitivity and specificity of biosensors, they appear as a potential and promising tool for accurate and quantitative detection of viruses. Furthermore, recent advancements in transduction systems, nanotechnology and genetic engineering offer various strategies to improve the detection performance of biosensors. This review presents an overview of the current states of novel biosensing methodologies for the ultrasensitive detection of viruses with highly promising applications for future disease diagnosis. Additionally, a brief summary of the recent state-of-the-art virus diagnostic molecular technologies is included.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Cheng, Ming Soon
Toh, Chee-Seng
format Article
author Cheng, Ming Soon
Toh, Chee-Seng
spellingShingle Cheng, Ming Soon
Toh, Chee-Seng
Novel biosensing methodologies for ultrasensitive detection of viruses
author_sort Cheng, Ming Soon
title Novel biosensing methodologies for ultrasensitive detection of viruses
title_short Novel biosensing methodologies for ultrasensitive detection of viruses
title_full Novel biosensing methodologies for ultrasensitive detection of viruses
title_fullStr Novel biosensing methodologies for ultrasensitive detection of viruses
title_full_unstemmed Novel biosensing methodologies for ultrasensitive detection of viruses
title_sort novel biosensing methodologies for ultrasensitive detection of viruses
publishDate 2016
url https://hdl.handle.net/10356/81968
http://hdl.handle.net/10220/41064
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