A Method For Tracking the Brownian Motion To Estimate the Size Distribution of Submicron Particles In Seawater
Document Type
Article
Publication Date
7-1-2022
Department
Marine Science
School
Ocean Science and Engineering
Abstract
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.
Publication Title
Limnology and Oceanography: Methods
Volume
20
Issue
7
First Page
373
Last Page
386
Recommended Citation
Xiong, Y.,
Zhang, X.,
Hu, L.
(2022). A Method For Tracking the Brownian Motion To Estimate the Size Distribution of Submicron Particles In Seawater. Limnology and Oceanography: Methods, 20(7), 373-386.
Available at: https://aquila.usm.edu/fac_pubs/19989