Particle Dynamics Analysis
Particle Dynamics Analysis - Related Videos
02:14
Tracking Aggregation of Virus-Like Particles Using Dynamic Light Scattering
0 Views •
2026
Source: Moore, M. D., et al. Alternative In Vitro Methods for the Determination of Viral Capsid Structural Integrity. J. Vis. Exp. (2017)The video demonstrates a protocol for monitoring the heat-induced aggregation of virus-like particles using dynamic light scattering (DLS). It begins with preparing a monodisperse suspension of purified particles. The sample is then loaded into a preheated DLS instrument. As the capsid proteins denature with heat, exposed hydrophobic regions cause particle...
07:51
Application of Voltage in Dynamic Light Scattering Particle Size Analysis
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Cited by 6 •
2020
Here, a protocol to apply voltage to solution during dynamic light scattering particle size measurements with the intent to explore the effect of voltage and temperature changes on polymer aggregation is presented.
10:35
DNA-magnetic Particle Binding Analysis by Dynamic and Electrophoretic Light Scattering
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Cited by 6 •
2017
This protocol describes the synthesis of magnetic particles and evaluation of their DNA-binding properties via dynamic and electrophoretic light scattering. This method focuses on monitoring changes in particle size, their polydispersity and zeta potential of particle surface which play major role in binding of materials such as DNA.
13:43
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
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Cited by 15 •
2013
We describe a correlative microscopy method that combines high-speed 3D live-cell fluorescent light microscopy and high-resolution cryo-electron tomography. We demonstrate the capability of the correlative method by imaging dynamic, small HIV-1 particles interacting with host HeLa cells.
04:40
Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes
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Cited by 2 •
2023
Dynamic light scattering (DLS) has emerged as a suitable assay for evaluating the particle size and distribution of intravenously administered iron-carbohydrate complexes. However, the protocols lack standardization and need to be modified for each iron-carbohydrate complex analyzed. The present protocol describes the application and special considerations for the analysis of iron sucrose.
FAQs
Particle acceleration reflects the combined effect of mass and forces acting on each particle. Gravity can drive settling or transport, while drag represents fluid resistance, friction limits relative motion, and contact forces transmit interactions during particle encounters. Examining these contributions helps engineers determine how force changes affect velocity, trajectories, and the resulting behavior of particulate materials.
Contact forces determine how particles exchange momentum when they interact, making collision behavior central to predictions of granular motion and packing. Discrete element methods represent these individual interactions rather than treating the material only as a continuous mass. This detail is especially relevant when equipment performance depends on particle trajectories, impacts, or spatial redistribution.
Particle mass, applied forces, contact interactions, and fluid effects directly influence calculated acceleration and motion. Their combined effects determine particle velocity, collision behavior, and spatial distribution. In engineering analysis, these outputs provide a way to connect local particle-scale behavior with larger concerns such as material handling, flow patterns, and process efficiency.
Both approaches can predict particle motion, but they provide different levels of particle-scale resolution. Numerical models can describe motion through calculated force and acceleration relationships, whereas discrete element methods resolve individual particle contacts, collisions, and trajectories. The latter is particularly useful when interactions between separate particles strongly affect granular flow or equipment performance.
A supported workflow begins by identifying the forces relevant to the system, including gravity, drag, friction, contact forces, and fluid interactions. Engineers then calculate particle motion with a numerical model or discrete element method, resolving trajectories and, when needed, collisions. The resulting velocities, interactions, and distributions can be examined against the equipment or process objective.
Engineers apply it when particle-scale motion affects how a system operates. Relevant examples include granular flow, powder processing, fluidized systems, filtration, and sediment transport. In these settings, calculated trajectories and spatial distributions can reveal how particles move through or interact with the process, supporting evaluation of material handling, equipment performance, and process efficiency.
The analysis can provide particle velocity, collision behavior, trajectories, and spatial distribution. These outcomes help connect applied forces and particle interactions with practical system behavior, such as how material moves, settles, transfers, or distributes within equipment. Engineers can use that information to assess performance and identify conditions that influence handling quality or process efficiency.