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A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater

Because the diffusivity of particles undergoing the Brownian motion is inversely proportional to their sizes, the size distribution of submicron particles can be estimated by tracking their movement. This particle tracking analysis (PTA) has been applied in various fields, but mainly focused on reso...

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Detalles Bibliográficos
Autores principales: Xiong, Yuanheng, Zhang, Xiaodong, Hu, Lianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543390/
https://www.ncbi.nlm.nih.gov/pubmed/36246548
http://dx.doi.org/10.1002/lom3.10494
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author Xiong, Yuanheng
Zhang, Xiaodong
Hu, Lianbo
author_facet Xiong, Yuanheng
Zhang, Xiaodong
Hu, Lianbo
author_sort Xiong, Yuanheng
collection PubMed
description Because the diffusivity of particles undergoing the Brownian motion is inversely proportional to their sizes, the size distribution of submicron particles can be estimated by tracking their movement. This particle tracking analysis (PTA) has been applied in various fields, but mainly focused on resolving monodispersed particle populations and is rarely used for measuring oceanic particles that are naturally polydispersed. We demonstrated using Monte Carlo simulation that, in principle, PTA can be used to size natural, oceanic particles. We conducted a series of lab experiments using microbeads of NIST‐traceable sizes to evaluate the performance of ViewSizer 3000, a PTA‐based commercial instrument, and found two major uncertainties: (1) the sample volume varies with the size of particles and (2) the signal‐to‐noise ratio for particles of sizes < 200–250 nm was reduced and hence their concentration was underestimated with the presence of larger particles. After applying the volume correction, we found the instrument can resolve oceanic submicron particles of sizes greater than 250 nm with a mean absolute error of 3.9% in size and 38% in concentration.
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spelling pubmed-95433902022-10-14 A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater Xiong, Yuanheng Zhang, Xiaodong Hu, Lianbo Limnol Oceanogr Methods New Methods Because the diffusivity of particles undergoing the Brownian motion is inversely proportional to their sizes, the size distribution of submicron particles can be estimated by tracking their movement. This particle tracking analysis (PTA) has been applied in various fields, but mainly focused on resolving monodispersed particle populations and is rarely used for measuring oceanic particles that are naturally polydispersed. We demonstrated using Monte Carlo simulation that, in principle, PTA can be used to size natural, oceanic particles. We conducted a series of lab experiments using microbeads of NIST‐traceable sizes to evaluate the performance of ViewSizer 3000, a PTA‐based commercial instrument, and found two major uncertainties: (1) the sample volume varies with the size of particles and (2) the signal‐to‐noise ratio for particles of sizes < 200–250 nm was reduced and hence their concentration was underestimated with the presence of larger particles. After applying the volume correction, we found the instrument can resolve oceanic submicron particles of sizes greater than 250 nm with a mean absolute error of 3.9% in size and 38% in concentration. John Wiley & Sons, Inc. 2022-05-24 2022-07 /pmc/articles/PMC9543390/ /pubmed/36246548 http://dx.doi.org/10.1002/lom3.10494 Text en © 2022 The Authors. Limnology and Oceanography: Methods published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle New Methods
Xiong, Yuanheng
Zhang, Xiaodong
Hu, Lianbo
A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title_full A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title_fullStr A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title_full_unstemmed A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title_short A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater
title_sort method for tracking the brownian motion to estimate the size distribution of submicron particles in seawater
topic New Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543390/
https://www.ncbi.nlm.nih.gov/pubmed/36246548
http://dx.doi.org/10.1002/lom3.10494
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