The aggregation kinetics of sedimenting colloidal particles under fully destabilized conditions has been investigated over a wide range of particle volume fractions () and Péclet numbers (Pe) using the recent PSE algorithm implementing the Rotne-Prager-Yamakawa (RPY) approximation for long-range Hydrodynamic Interactions (HI). Fast Lubrication Dynamics (FLD) and simple Brownian Dynamics (BD) methods have also been employed to assess the importance of long range hydrodynamic interactions on the resulting dynamics. It has been observed that long-range hydrodynamic interactions are essential to capture the fast aggregation rates induced by the increase in sedimentation rate of clusters with increasing mass, which manifests with an explosive-like cluster growth after a given induction time. On the contrary, simulations employing only short-range hydrodynamic interactions (such as FLD) and BD (which neglects completely hydrodynamic interactions) are incapable of predicting this very rapid kinetics, because sedimentation simply leads to all particles and clusters moving vertically with identical velocity. It has been observed that at high volume fractions and low Pe values, a gel point can be formed and a phase diagram predicting when gelation is reached has been obtained. It was also observed that, as Pe increases, the anisotropy of the resulting clusters decreases, suggesting that denser clusters with spherical-like morphology are formed due to cluster breakage and restructuring. We can conclude that long-range hydrodynamic effects are of crucial importance in understanding the aggregation dynamics of settling clusters, revealing important features of the complex interplay between sedimentation, and colloidal interactions.
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http://dx.doi.org/10.1039/d1sm01637g | DOI Listing |
Environ Sci Pollut Res Int
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Earth Sciences, Engineering Faculty, Autonomous University of San Luis Potosi, Av. Manuel Nava 8, San Luis Potosí, SLP, Mexico.
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January 2025
Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg C, Copenhagen, 1958, Denmark.
Lignin's complex and heterogeneous molecular structure poses significant challenges for accurate molar mass determination, which is important for its utilization in industrial applications, such as biochemicals, nanoparticles, biobased binders, and biofuels. This study evaluates the potential of Taylor Dispersion Analysis (TDA) for measuring lignin size and compares it with size-exclusion chromatography (SEC) and diffusion-ordered spectroscopy (DOSY) NMR. Using dual Gaussian fitting, flow-induced dispersion analysis (FIDA), a TDA-based method, successfully determined the average hydrodynamic radii of multiple species in solvent-fractionated soda grass lignin samples, producing results consistent with DOSY.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide 5005, Australia.
The rise in the popularity of lipid nanoparticle (LNP)-based formulations necessitates the need for screening tools to quickly predict their colloidal stability in the presence of common excipients. Protein chemists have employed the diffusion interaction parameter () determined using dynamic light scattering as an indicator of formulation stability, yet this approach has not been applied to particulate systems. Herein, measurements of LNPs revealed behavior dissimilar to that of proteins.
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January 2025
Department of Materials Science & Engineering, Texas A&M University, College Station, Texas 77840, United States.
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View Article and Find Full Text PDFRSC Adv
January 2025
Centre for Genetics and Inherited Diseases (CGID), Taibah University Madinah Saudi Arabia.
In present studies, six Schiff bases were prepared, characterized and evaluated for their anti-tumor activity against the colorectal cancer cell line SW-480. The test compounds were characterized by various physico-chemical techniques such as M. P.
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