A rapid and label-free platform for virus capture and identification from clinical samples
Yin Ting Yeh,Kristen M. Gulino,Yu He Zhang,Aswathy Sabestien,Tsui Wen Chou,Bin Zhou,Zhong Lin,Istvan Albert,Huaguang Lu,Venkataraman Swaminathan,Elodie Ghedin,Mauricio Terrones +11 more
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TLDR
A portable platform that captures viruses by their size, coupled to Raman spectroscopy, resulted in successful virus identification with 90% accuracy in real time directly from clinical samples, which is an effective disease-monitoring system and broadens virus surveillance by enabling real-time virus identification.Abstract:
Emerging and reemerging viruses are responsible for a number of recent epidemic outbreaks. A crucial step in predicting and controlling outbreaks is the timely and accurate characterization of emerging virus strains. We present a portable microfluidic platform containing carbon nanotube arrays with differential filtration porosity for the rapid enrichment and optical identification of viruses. Different emerging strains (or unknown viruses) can be enriched and identified in real time through a multivirus capture component in conjunction with surface-enhanced Raman spectroscopy. More importantly, after viral capture and detection on a chip, viruses remain viable and get purified in a microdevice that permits subsequent in-depth characterizations by various conventional methods. We validated this platform using different subtypes of avian influenza A viruses and human samples with respiratory infections. This technology successfully enriched rhinovirus, influenza virus, and parainfluenza viruses, and maintained the stoichiometric viral proportions when the samples contained more than one type of virus, thus emulating coinfection. Viral capture and detection took only a few minutes with a 70-fold enrichment enhancement; detection could be achieved with as little as 102 EID50/mL (50% egg infective dose per microliter), with a virus specificity of 90%. After enrichment using the device, we demonstrated by sequencing that the abundance of viral-specific reads significantly increased from 4.1 to 31.8% for parainfluenza and from 0.08 to 0.44% for influenza virus. This enrichment method coupled to Raman virus identification constitutes an innovative system that could be used to quickly track and monitor viral outbreaks in real time.read more
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Antiviral Potential of Nanoparticles-Can Nanoparticles Fight Against Coronaviruses?
Sangiliyandi Gurunathan,Muhammad Qasim,Youngsok Choi,Jeong Tae Do,Chankyu Park,Kwonho Hong,Jin-Hoi Kim,Hyuk Song +7 more
TL;DR: This review discusses viral mechanisms of entry into host cells and then details the major and important types of nanomaterials that could be used as antiviral agents, including silver, gold, quantum dots, organic nanoparticles, liposomes, dendrimers and polymers.
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Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning
TL;DR: It is clear based on the evidence provided herein Raman spectroscopy in combination with machine learning provides the first glimmer of hope for the development of an accurate, inexpensive, fast, and non-invasive method for universal medical diagnostics.
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Current and Perspective Diagnostic Techniques for COVID-19.
Xi Yuan,Chengming Yang,Qian He,Junhu Chen,Dongmei Yu,Dongmei Yu,Jie Li,Jie Li,Shiyao Zhai,Zhifeng Qin,Ke Du,Zhenhai Chu,Peiwu Qin +12 more
TL;DR: In this Review, a comprehensive summary and comparison of different SARS-CoV-2 diagnostic methods are provided for researchers and clinicians to develop appropriate strategies for the timely and effective detection of SAR's coronavirus pandemic.
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Towards a point-of-care SERS sensor for biomedical and agri-food analysis applications: a review of recent advancements
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Point-of-Use Rapid Detection of SARS-CoV-2: Nanotechnology-Enabled Solutions for the COVID-19 Pandemic.
Navid Rabiee,Mojtaba Bagherzadeh,Amir Ghasemi,Hossein Zare,Sepideh Ahmadi,Yousef Fatahi,Yousef Fatahi,Rassoul Dinarvand,Mohammad Rabiee,Seeram Ramakrishna,Mohammadreza Shokouhimehr,Rajender S. Varma +11 more
TL;DR: This manuscript critically reviews recent literature to specifically illustrate nano-engineered effective and rapid solutions for rapid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
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