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Selective detections of single-viruses using solid-state nanopores
Rapid diagnosis of flu before symptom onsets can revolutionize our health through diminishing a risk for serious complication as well as preventing infectious disease outbreak. Sensor sensitivity and selectivity are key to accomplish this goal as the number of virus is quite small at the early stage...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214978/ https://www.ncbi.nlm.nih.gov/pubmed/30390013 http://dx.doi.org/10.1038/s41598-018-34665-4 |
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author | Arima, Akihide Tsutsui, Makusu Harlisa, Ilva Hanun Yoshida, Takeshi Tanaka, Masayoshi Yokota, Kazumichi Tonomura, Wataru Taniguchi, Masateru Okochi, Mina Washio, Takashi Kawai, Tomoji |
author_facet | Arima, Akihide Tsutsui, Makusu Harlisa, Ilva Hanun Yoshida, Takeshi Tanaka, Masayoshi Yokota, Kazumichi Tonomura, Wataru Taniguchi, Masateru Okochi, Mina Washio, Takashi Kawai, Tomoji |
author_sort | Arima, Akihide |
collection | PubMed |
description | Rapid diagnosis of flu before symptom onsets can revolutionize our health through diminishing a risk for serious complication as well as preventing infectious disease outbreak. Sensor sensitivity and selectivity are key to accomplish this goal as the number of virus is quite small at the early stage of infection. Here we report on label-free electrical diagnostics of influenza based on nanopore analytics that distinguishes individual virions by their distinct physical features. We accomplish selective resistive-pulse sensing of single flu virus having negative surface charges in a physiological media by exploiting electroosmotic flow to filter contaminants at the Si(3)N(4) pore orifice. We demonstrate identifications of allotypes with 68% accuracy at the single-virus level via pattern classifications of the ionic current signatures. We also show that this discriminability becomes >95% under a binomial distribution theorem by ensembling the pulse data of >20 virions. This simple mechanism is versatile for point-of-care tests of a wide range of flu types. |
format | Online Article Text |
id | pubmed-6214978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62149782018-11-06 Selective detections of single-viruses using solid-state nanopores Arima, Akihide Tsutsui, Makusu Harlisa, Ilva Hanun Yoshida, Takeshi Tanaka, Masayoshi Yokota, Kazumichi Tonomura, Wataru Taniguchi, Masateru Okochi, Mina Washio, Takashi Kawai, Tomoji Sci Rep Article Rapid diagnosis of flu before symptom onsets can revolutionize our health through diminishing a risk for serious complication as well as preventing infectious disease outbreak. Sensor sensitivity and selectivity are key to accomplish this goal as the number of virus is quite small at the early stage of infection. Here we report on label-free electrical diagnostics of influenza based on nanopore analytics that distinguishes individual virions by their distinct physical features. We accomplish selective resistive-pulse sensing of single flu virus having negative surface charges in a physiological media by exploiting electroosmotic flow to filter contaminants at the Si(3)N(4) pore orifice. We demonstrate identifications of allotypes with 68% accuracy at the single-virus level via pattern classifications of the ionic current signatures. We also show that this discriminability becomes >95% under a binomial distribution theorem by ensembling the pulse data of >20 virions. This simple mechanism is versatile for point-of-care tests of a wide range of flu types. Nature Publishing Group UK 2018-11-02 /pmc/articles/PMC6214978/ /pubmed/30390013 http://dx.doi.org/10.1038/s41598-018-34665-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Arima, Akihide Tsutsui, Makusu Harlisa, Ilva Hanun Yoshida, Takeshi Tanaka, Masayoshi Yokota, Kazumichi Tonomura, Wataru Taniguchi, Masateru Okochi, Mina Washio, Takashi Kawai, Tomoji Selective detections of single-viruses using solid-state nanopores |
title | Selective detections of single-viruses using solid-state nanopores |
title_full | Selective detections of single-viruses using solid-state nanopores |
title_fullStr | Selective detections of single-viruses using solid-state nanopores |
title_full_unstemmed | Selective detections of single-viruses using solid-state nanopores |
title_short | Selective detections of single-viruses using solid-state nanopores |
title_sort | selective detections of single-viruses using solid-state nanopores |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214978/ https://www.ncbi.nlm.nih.gov/pubmed/30390013 http://dx.doi.org/10.1038/s41598-018-34665-4 |
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