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Virus detection and quantification using electrical parameters

Here we identify and quantitate two similar viruses, human and feline immunodeficiency viruses (HIV and FIV), suspended in a liquid medium without labeling, using a semiconductor technique. The virus count was estimated by calculating the impurities inside a defined volume by observing the change in...

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Autores principales: Ahmad, Mahmoud Al, Mustafa, Farah, Ali, Lizna M., Rizvi, Tahir A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213776/
https://www.ncbi.nlm.nih.gov/pubmed/25355078
http://dx.doi.org/10.1038/srep06831
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author Ahmad, Mahmoud Al
Mustafa, Farah
Ali, Lizna M.
Rizvi, Tahir A.
author_facet Ahmad, Mahmoud Al
Mustafa, Farah
Ali, Lizna M.
Rizvi, Tahir A.
author_sort Ahmad, Mahmoud Al
collection PubMed
description Here we identify and quantitate two similar viruses, human and feline immunodeficiency viruses (HIV and FIV), suspended in a liquid medium without labeling, using a semiconductor technique. The virus count was estimated by calculating the impurities inside a defined volume by observing the change in electrical parameters. Empirically, the virus count was similar to the absolute value of the ratio of the change of the virus suspension dopant concentration relative to the mock dopant over the change in virus suspension Debye volume relative to mock Debye volume. The virus type was identified by constructing a concentration-mobility relationship which is unique for each kind of virus, allowing for a fast (within minutes) and label-free virus quantification and identification. For validation, the HIV and FIV virus preparations were further quantified by a biochemical technique and the results obtained by both approaches corroborated well. We further demonstrate that the electrical technique could be applied to accurately measure and characterize silica nanoparticles that resemble the virus particles in size. Based on these results, we anticipate our present approach to be a starting point towards establishing the foundation for label-free electrical-based identification and quantification of an unlimited number of viruses and other nano-sized particles.
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spelling pubmed-42137762014-10-31 Virus detection and quantification using electrical parameters Ahmad, Mahmoud Al Mustafa, Farah Ali, Lizna M. Rizvi, Tahir A. Sci Rep Article Here we identify and quantitate two similar viruses, human and feline immunodeficiency viruses (HIV and FIV), suspended in a liquid medium without labeling, using a semiconductor technique. The virus count was estimated by calculating the impurities inside a defined volume by observing the change in electrical parameters. Empirically, the virus count was similar to the absolute value of the ratio of the change of the virus suspension dopant concentration relative to the mock dopant over the change in virus suspension Debye volume relative to mock Debye volume. The virus type was identified by constructing a concentration-mobility relationship which is unique for each kind of virus, allowing for a fast (within minutes) and label-free virus quantification and identification. For validation, the HIV and FIV virus preparations were further quantified by a biochemical technique and the results obtained by both approaches corroborated well. We further demonstrate that the electrical technique could be applied to accurately measure and characterize silica nanoparticles that resemble the virus particles in size. Based on these results, we anticipate our present approach to be a starting point towards establishing the foundation for label-free electrical-based identification and quantification of an unlimited number of viruses and other nano-sized particles. Nature Publishing Group 2014-10-30 /pmc/articles/PMC4213776/ /pubmed/25355078 http://dx.doi.org/10.1038/srep06831 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Article
Ahmad, Mahmoud Al
Mustafa, Farah
Ali, Lizna M.
Rizvi, Tahir A.
Virus detection and quantification using electrical parameters
title Virus detection and quantification using electrical parameters
title_full Virus detection and quantification using electrical parameters
title_fullStr Virus detection and quantification using electrical parameters
title_full_unstemmed Virus detection and quantification using electrical parameters
title_short Virus detection and quantification using electrical parameters
title_sort virus detection and quantification using electrical parameters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213776/
https://www.ncbi.nlm.nih.gov/pubmed/25355078
http://dx.doi.org/10.1038/srep06831
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