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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9543390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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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