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Utilising NV based quantum sensing for velocimetry at the nanoscale

Nitrogen-Vacancy (NV) centers in diamonds have been shown in recent years to be excellent magnetometers on the nanoscale. One of the recent applications of the quantum sensor is retrieving the Nuclear Magnetic Resonance (NMR) spectrum of a minute sample, whose net polarization is well below the Sign...

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Autores principales: Cohen, Daniel, Nigmatullin, Ramil, Kenneth, Oded, Jelezko, Fedor, Khodas, Maxim, Retzker, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093499/
https://www.ncbi.nlm.nih.gov/pubmed/32210251
http://dx.doi.org/10.1038/s41598-020-61095-y
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author Cohen, Daniel
Nigmatullin, Ramil
Kenneth, Oded
Jelezko, Fedor
Khodas, Maxim
Retzker, Alex
author_facet Cohen, Daniel
Nigmatullin, Ramil
Kenneth, Oded
Jelezko, Fedor
Khodas, Maxim
Retzker, Alex
author_sort Cohen, Daniel
collection PubMed
description Nitrogen-Vacancy (NV) centers in diamonds have been shown in recent years to be excellent magnetometers on the nanoscale. One of the recent applications of the quantum sensor is retrieving the Nuclear Magnetic Resonance (NMR) spectrum of a minute sample, whose net polarization is well below the Signal-to-Noise Ratio (SNR) of classic devices. The information in the magnetic noise of diffusing particles has also been shown in decoherence spectroscopy approaches to provide a method for measuring different physical parameters. Similar noise is induced on the NV center by a flowing liquid. However, when the noise created by diffusion effects is more dominant than the noise of the drift, it is unclear whether the velocity can be efficiently estimated. Here we propose a non-intrusive setup for measuring the drift velocity near the surface of a flow channel based on magnetic field quantum sensing using NV centers. We provide a detailed analysis of the sensitivity for different measurement protocols, and we show that our nanoscale velocimetry scheme outperforms current fluorescence based approaches even when diffusion noise is dominant. Our scheme can be applied for the investigation of microfluidic channels, where the drift velocity is usually low and the flow properties are currently unclear. A better understanding of these properties is essential for the future development of microfluidic and nanofluidic infrastructures.
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spelling pubmed-70934992020-03-27 Utilising NV based quantum sensing for velocimetry at the nanoscale Cohen, Daniel Nigmatullin, Ramil Kenneth, Oded Jelezko, Fedor Khodas, Maxim Retzker, Alex Sci Rep Article Nitrogen-Vacancy (NV) centers in diamonds have been shown in recent years to be excellent magnetometers on the nanoscale. One of the recent applications of the quantum sensor is retrieving the Nuclear Magnetic Resonance (NMR) spectrum of a minute sample, whose net polarization is well below the Signal-to-Noise Ratio (SNR) of classic devices. The information in the magnetic noise of diffusing particles has also been shown in decoherence spectroscopy approaches to provide a method for measuring different physical parameters. Similar noise is induced on the NV center by a flowing liquid. However, when the noise created by diffusion effects is more dominant than the noise of the drift, it is unclear whether the velocity can be efficiently estimated. Here we propose a non-intrusive setup for measuring the drift velocity near the surface of a flow channel based on magnetic field quantum sensing using NV centers. We provide a detailed analysis of the sensitivity for different measurement protocols, and we show that our nanoscale velocimetry scheme outperforms current fluorescence based approaches even when diffusion noise is dominant. Our scheme can be applied for the investigation of microfluidic channels, where the drift velocity is usually low and the flow properties are currently unclear. A better understanding of these properties is essential for the future development of microfluidic and nanofluidic infrastructures. Nature Publishing Group UK 2020-03-24 /pmc/articles/PMC7093499/ /pubmed/32210251 http://dx.doi.org/10.1038/s41598-020-61095-y Text en © The Author(s) 2020 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
Cohen, Daniel
Nigmatullin, Ramil
Kenneth, Oded
Jelezko, Fedor
Khodas, Maxim
Retzker, Alex
Utilising NV based quantum sensing for velocimetry at the nanoscale
title Utilising NV based quantum sensing for velocimetry at the nanoscale
title_full Utilising NV based quantum sensing for velocimetry at the nanoscale
title_fullStr Utilising NV based quantum sensing for velocimetry at the nanoscale
title_full_unstemmed Utilising NV based quantum sensing for velocimetry at the nanoscale
title_short Utilising NV based quantum sensing for velocimetry at the nanoscale
title_sort utilising nv based quantum sensing for velocimetry at the nanoscale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093499/
https://www.ncbi.nlm.nih.gov/pubmed/32210251
http://dx.doi.org/10.1038/s41598-020-61095-y
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