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Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry

Particle diffusometry, a technology derived from particle image velocimetry, quantifies the Brownian motion of particles suspended in a quiescent solution by computing the diffusion coefficient. Particle diffusometry has been used for pathogen detection by measuring the change in solution viscosity...

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Autores principales: Lee, Dong Hoon, Clayton, Katherine N., Kinzer-Ursem, Tamara L., Linnes, Jacqueline C., Wereley, Steven T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871426/
https://www.ncbi.nlm.nih.gov/pubmed/36711431
http://dx.doi.org/10.1007/s00348-022-03566-8
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author Lee, Dong Hoon
Clayton, Katherine N.
Kinzer-Ursem, Tamara L.
Linnes, Jacqueline C.
Wereley, Steven T.
author_facet Lee, Dong Hoon
Clayton, Katherine N.
Kinzer-Ursem, Tamara L.
Linnes, Jacqueline C.
Wereley, Steven T.
author_sort Lee, Dong Hoon
collection PubMed
description Particle diffusometry, a technology derived from particle image velocimetry, quantifies the Brownian motion of particles suspended in a quiescent solution by computing the diffusion coefficient. Particle diffusometry has been used for pathogen detection by measuring the change in solution viscosity due to amplified DNA from a specific gene target. However, particle diffusometry fails to calculate accurate measurements at elevated temperatures and fluid flow. Therefore, these two current limitations hinder the potential application where particle diffusometry can further be used. In this work, we expanded the usability of particle diffusometry to be applied to fluid samples with simple shear flow and at various temperatures. A range of diffusion coefficient videos is created to simulate the Brownian motion of particles under flow and temperature conditions. Our updated particle diffusometry analysis forms a correction equation under three different polynomial degrees of shear flow with varying flow rates and temperatures between 25 and 65 °C. An experiment in a channel with a rectangular cross section using a syringe pump to generate a constant flow is done to analyze the modified algorithm. In simulation analysis, the modified algorithm successfully computes the diffusion coefficients with [Formula: see text]  10% error for an average flow rate of up to 8 [Formula: see text] on all three flow types. Complementary experiments confirm the simulation results. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-98714262023-01-25 Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry Lee, Dong Hoon Clayton, Katherine N. Kinzer-Ursem, Tamara L. Linnes, Jacqueline C. Wereley, Steven T. Exp Fluids Research Article Particle diffusometry, a technology derived from particle image velocimetry, quantifies the Brownian motion of particles suspended in a quiescent solution by computing the diffusion coefficient. Particle diffusometry has been used for pathogen detection by measuring the change in solution viscosity due to amplified DNA from a specific gene target. However, particle diffusometry fails to calculate accurate measurements at elevated temperatures and fluid flow. Therefore, these two current limitations hinder the potential application where particle diffusometry can further be used. In this work, we expanded the usability of particle diffusometry to be applied to fluid samples with simple shear flow and at various temperatures. A range of diffusion coefficient videos is created to simulate the Brownian motion of particles under flow and temperature conditions. Our updated particle diffusometry analysis forms a correction equation under three different polynomial degrees of shear flow with varying flow rates and temperatures between 25 and 65 °C. An experiment in a channel with a rectangular cross section using a syringe pump to generate a constant flow is done to analyze the modified algorithm. In simulation analysis, the modified algorithm successfully computes the diffusion coefficients with [Formula: see text]  10% error for an average flow rate of up to 8 [Formula: see text] on all three flow types. Complementary experiments confirm the simulation results. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2023-01-24 2023 /pmc/articles/PMC9871426/ /pubmed/36711431 http://dx.doi.org/10.1007/s00348-022-03566-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Lee, Dong Hoon
Clayton, Katherine N.
Kinzer-Ursem, Tamara L.
Linnes, Jacqueline C.
Wereley, Steven T.
Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title_full Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title_fullStr Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title_full_unstemmed Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title_short Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry
title_sort quantifying brownian motion in the presence of simple shear flow with particle diffusometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871426/
https://www.ncbi.nlm.nih.gov/pubmed/36711431
http://dx.doi.org/10.1007/s00348-022-03566-8
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