Particle sizing for flowing colloidal suspensions using flow-differential dynamic microscopy
Data CreatorRichards, James A
Martinez, Vincent A
PublisherUniversity of Edinburgh. School of Physics and Astronomy. Institute for Condensed Matter and Complex Systems
Relation (Is Referenced By)https://arxiv.org/abs/2102.11094
MetadataShow full item record
CitationRichards, James A; Martinez, Vincent A; Arlt, Jochen. (2021). Particle sizing for flowing colloidal suspensions using flow-differential dynamic microscopy, [dataset]. University of Edinburgh. School of Physics and Astronomy. Institute for Condensed Matter and Complex Systems. https://doi.org/10.7488/ds/2987.
DescriptionDataset for "Particle sizing for flowing colloidal suspensions using flow-differential dynamic microscopy". Particle size is a key variable in understanding the behaviour of the particulate products that underpin much of our modern lives. Typically obtained from suspensions at rest, measuring the particle size under flowing conditions would enable advances for in-line testing during manufacture and high-throughput testing during development. However, samples are often turbid, multiply scattering light and preventing the direct use of common sizing techniques. Differential dynamic microscopy (DDM) is a powerful technique for analysing video microscopy of such samples, measuring diffusion and hence particle size without the need to resolve individual particles while free of substantial user input. However, when applying DDM to a flowing sample, diffusive dynamics are rapidly dominated by flow effects, preventing particle sizing. Here, we develop ``flow-DDM'', a novel analysis scheme that combines optimised imaging conditions, a drift-velocity correction and modelling of the impact of flow. Flow-DDM allows a decoupling of flow from diffusive motion that facilitates successful particle size measurements at flow speeds an order of magnitude higher than for DDM. We demonstrate the generality of the technique by applying flow-DDM to two separate microscopy methods and flow geometries.
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