Particle Self-assembly
Particle Self-assembly - Related Videos
12:33
Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Cited by 25 •
2013
We describe experimental details of the synthesis of patterned and reconfigurable particles from two dimensional (2D) precursors. This methodology can be used to create particles in a variety of shapes including polyhedra and grasping devices at length scales ranging from the micro to centimeter scale.
09:47
Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes
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Cited by 17 •
2016
We report on a smart application of carbon nanotubes for kinetic stabilization of lipid particles that contain self-assembled nanostructures in their cores. The preparation of lipid particles requires rather low concentrations of carbon nanotubes permitting their use in biomedical applications such as drug delivery.
11:13
Creating Sub-50 Nm Nanofluidic Junctions in PDMS Microfluidic Chip via Self-Assembly Process of Colloidal Particles
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Cited by 1 •
2016
We propose a simple self-assembly technique of silica colloidal nanoparticles to create a nanofluidic junction between two microchannels in polydimethylsiloxane (PDMS). Using this technique, a nanoporous bead membrane with a pore size down to ~45 nm was built inside a microchannel and applied to electrokinetic preconcentration of DNA samples.
05:46
Assembly of Porous Monolithic Materials Using a Pickering Emulsion Strategy Stabilized by Metal–Organic Framework (MOF) Particles
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2026
This study successfully uses MIL-96(Al) Metal-Organic Frameworks particles to stabilize Pickering emulsions, which serve as templates to form mechanically robust, hierarchically porous monolithic materials. This method allows scalable MOF shaping while preserving crystal integrity. Tuning formulation is key to controlling pore size, interconnectivity, permeability, and robustness.
02:41
Protein Complex Assembly
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2020
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types. Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes. Many viruses self-assemble into a fully functional unit using the infected host cell to...
FAQs
Electrostatic attraction, hydrogen bonding, hydrophobic effects, and van der Waals interactions provide the local forces that determine how particles associate. Changing their relative influence can alter particle spacing and organization, which connects molecular-scale chemistry with the structure and properties observed in the resulting material.
Brownian motion contributes to whether an assembly becomes a stable cluster, sheet, or three-dimensional network. Because the process relies on local interactions, particle motion affects how those interactions can produce an organized arrangement. Considering Brownian motion together with concentration, solvent composition, temperature, and pH helps explain why the same particles may produce different structures under different conditions.
Concentration, solvent composition, temperature, and pH are key control variables because they influence the stability and form of the assembled structure. In practice, changing these conditions can shift organization among clusters, sheets, and three-dimensional networks, while also affecting particle spacing. Monitoring how structure changes across conditions allows researchers to identify settings that produce the desired arrangement.
Particle spacing affects how an assembled structure is organized and helps connect local interactions to macroscopic properties. In chemistry and nanoscience, controlling spacing provides a route to tune material behavior and structure. This is especially relevant when designing functional colloids, photonic materials, catalysts, or responsive nanosystems.
A practical strategy is to vary concentration, solvent composition, temperature, or pH while examining whether particles form clusters, sheets, or networks. Researchers can then compare particle spacing and overall organization across conditions. This condition-to-structure relationship helps identify how local interactions translate into a reproducible arrangement suited to the intended material.
The approach is useful when chemistry or nanoscience requires organized particles with tunable structure. Its applications include functional colloids, photonic materials, catalysts, and responsive nanosystems. These outcomes illustrate its broader value: controlling local interactions and environmental conditions can produce designed particle spacing and organization, allowing molecular-scale chemistry to influence macroscopic material properties.