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Hydrodynamic assisted multiparametric particle spectrometry
The real-time analysis of single analytes in flow is becoming increasingly relevant in cell biology. In this work, we theoretically predict and experimentally demonstrate hydrodynamic focusing with hollow nanomechanical resonators by using an interferometric system which allows the optical probing o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878870/ https://www.ncbi.nlm.nih.gov/pubmed/33574415 http://dx.doi.org/10.1038/s41598-021-82708-0 |
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author | Martín-Pérez, Alberto Ramos, Daniel Yubero, Marina L. García-López, Sergio Kosaka, Priscila M. Tamayo, Javier Calleja, Montserrat |
author_facet | Martín-Pérez, Alberto Ramos, Daniel Yubero, Marina L. García-López, Sergio Kosaka, Priscila M. Tamayo, Javier Calleja, Montserrat |
author_sort | Martín-Pérez, Alberto |
collection | PubMed |
description | The real-time analysis of single analytes in flow is becoming increasingly relevant in cell biology. In this work, we theoretically predict and experimentally demonstrate hydrodynamic focusing with hollow nanomechanical resonators by using an interferometric system which allows the optical probing of flowing particles and tracking of the fundamental mechanical mode of the resonator. We have characterized the hydrodynamic forces acting on the particles, which will determine their velocity depending on their diameter. By using the parameters simultaneously acquired: frequency shift, velocity and reflectivity, we can unambiguously classify flowing particles in real-time, allowing the measurement of the mass density: 1.35 ± 0.07 g·mL(-1) for PMMA and 1.7 ± 0.2 g·mL(-1) for silica particles, which perfectly agrees with the nominal values. Once we have tested our technique, MCF-7 human breast adenocarcinoma cells are characterized (1.11 ± 0.08 g·mL(-1)) with high throughput (300 cells/minute) observing a dependency with their size, opening the door for individual cell cycle studies. |
format | Online Article Text |
id | pubmed-7878870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78788702021-02-12 Hydrodynamic assisted multiparametric particle spectrometry Martín-Pérez, Alberto Ramos, Daniel Yubero, Marina L. García-López, Sergio Kosaka, Priscila M. Tamayo, Javier Calleja, Montserrat Sci Rep Article The real-time analysis of single analytes in flow is becoming increasingly relevant in cell biology. In this work, we theoretically predict and experimentally demonstrate hydrodynamic focusing with hollow nanomechanical resonators by using an interferometric system which allows the optical probing of flowing particles and tracking of the fundamental mechanical mode of the resonator. We have characterized the hydrodynamic forces acting on the particles, which will determine their velocity depending on their diameter. By using the parameters simultaneously acquired: frequency shift, velocity and reflectivity, we can unambiguously classify flowing particles in real-time, allowing the measurement of the mass density: 1.35 ± 0.07 g·mL(-1) for PMMA and 1.7 ± 0.2 g·mL(-1) for silica particles, which perfectly agrees with the nominal values. Once we have tested our technique, MCF-7 human breast adenocarcinoma cells are characterized (1.11 ± 0.08 g·mL(-1)) with high throughput (300 cells/minute) observing a dependency with their size, opening the door for individual cell cycle studies. Nature Publishing Group UK 2021-02-11 /pmc/articles/PMC7878870/ /pubmed/33574415 http://dx.doi.org/10.1038/s41598-021-82708-0 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Martín-Pérez, Alberto Ramos, Daniel Yubero, Marina L. García-López, Sergio Kosaka, Priscila M. Tamayo, Javier Calleja, Montserrat Hydrodynamic assisted multiparametric particle spectrometry |
title | Hydrodynamic assisted multiparametric particle spectrometry |
title_full | Hydrodynamic assisted multiparametric particle spectrometry |
title_fullStr | Hydrodynamic assisted multiparametric particle spectrometry |
title_full_unstemmed | Hydrodynamic assisted multiparametric particle spectrometry |
title_short | Hydrodynamic assisted multiparametric particle spectrometry |
title_sort | hydrodynamic assisted multiparametric particle spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878870/ https://www.ncbi.nlm.nih.gov/pubmed/33574415 http://dx.doi.org/10.1038/s41598-021-82708-0 |
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