Hydrodynamic assisted multiparametric particle spectrometry

Abstract 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...

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Autores principales:	Alberto Martín-Pérez, Daniel Ramos, Marina L. Yubero, Sergio García-López, Priscila M. Kosaka, Javier Tamayo, Montserrat Calleja
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/482d8b15095b42979831a027e47348ab
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spelling	oai:doaj.org-article:482d8b15095b42979831a027e47348ab2021-12-02T13:30:34ZHydrodynamic assisted multiparametric particle spectrometry10.1038/s41598-021-82708-02045-2322https://doaj.org/article/482d8b15095b42979831a027e47348ab2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82708-0https://doaj.org/toc/2045-2322Abstract 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.Alberto Martín-PérezDaniel RamosMarina L. YuberoSergio García-LópezPriscila M. KosakaJavier TamayoMontserrat CallejaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alberto Martín-Pérez Daniel Ramos Marina L. Yubero Sergio García-López Priscila M. Kosaka Javier Tamayo Montserrat Calleja Hydrodynamic assisted multiparametric particle spectrometry
description	Abstract 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	article
author	Alberto Martín-Pérez Daniel Ramos Marina L. Yubero Sergio García-López Priscila M. Kosaka Javier Tamayo Montserrat Calleja
author_facet	Alberto Martín-Pérez Daniel Ramos Marina L. Yubero Sergio García-López Priscila M. Kosaka Javier Tamayo Montserrat Calleja
author_sort	Alberto Martín-Pérez
title	Hydrodynamic assisted multiparametric particle spectrometry
title_short	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_sort	hydrodynamic assisted multiparametric particle spectrometry
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/482d8b15095b42979831a027e47348ab
work_keys_str_mv	AT albertomartinperez hydrodynamicassistedmultiparametricparticlespectrometry AT danielramos hydrodynamicassistedmultiparametricparticlespectrometry AT marinalyubero hydrodynamicassistedmultiparametricparticlespectrometry AT sergiogarcialopez hydrodynamicassistedmultiparametricparticlespectrometry AT priscilamkosaka hydrodynamicassistedmultiparametricparticlespectrometry AT javiertamayo hydrodynamicassistedmultiparametricparticlespectrometry AT montserratcalleja hydrodynamicassistedmultiparametricparticlespectrometry
_version_	1718392911810265088

Hydrodynamic assisted multiparametric particle spectrometry

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