Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Colloidal precipitates01:09

Colloidal precipitates

The high insolubility of some precipitates can result in an unfavorable relative supersaturation. This can lead to colloidal particles with a large surface-to-mass ratio, where adsorption is promoted. For instance, in the precipitation of silver chloride, silver ions are adsorbed on the surface of the colloidal particles, forming a primary layer. This layer attracts ions of opposite charge (such as nitrate ions), forming a diffuse secondary layer of adsorbed ions. This electric double layer...
The Colloidal State01:29

The Colloidal State

The formation of a colloidal system is exemplified by an aqueous solution containing Cl− ions is introduced to another containing Ag+ ions, resulting in the precipitation of solid AgCl as extremely tiny crystals. Instead of settling out as a filterable precipitate, these crystals remain suspended in the liquid, showcasing a colloidal system.A colloidal system involves colloidal particles within the approximate range of 1 to 1000 nm in at least one dimension, dispersed in a medium called the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Capacity and Selectivity for Carbon Dioxide on Lignin-Derived Adsorbents via Molecular Simulation.

ACS omega·2026
Same author

Role of exercise in cardiovascular health: a narrative review from prevention to therapeutic utilizations.

Frontiers in cardiovascular medicine·2026
Same author

Elongational flow response of compressible polymer melts.

The Journal of chemical physics·2026
Same author

Reverse segregation and self-organization in inclined chute flows of bidisperse granular mixtures.

Physical review. E·2026
Same author

Shape elasticity in colloidal bent-core liquid crystals.

Soft matter·2026
Same author

Wavelet-Driven Spatial Frequency Mamba Network for Spine Image Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

DNA conformation determines the size of DNA-histone H1 nanoscale clusters.

The Journal of chemical physics·2026
Same journal

Confinement-controlled phase behavior of charged colloids under gravity.

The Journal of chemical physics·2026
Same journal

Dissociation line of tetrahydrofuran hydrates from NPH molecular dynamics simulations.

The Journal of chemical physics·2026
Same journal

Development of a magnetic interatomic potential for cubic antiferromagnets: The case of NiO.

The Journal of chemical physics·2026
Same journal

Simulations of solvent effects on excited state dynamics of p-DAPA, a red single benzene-based fluorophore.

The Journal of chemical physics·2026
Same journal

Rotational excitation of thioformaldehyde (H2CS) in collisions with molecular hydrogen.

The Journal of chemical physics·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2026

Electroactive Polymer Nanoparticles Exhibiting Photothermal Properties
10:16

Electroactive Polymer Nanoparticles Exhibiting Photothermal Properties

Published on: January 8, 2016

Effective potentials between nanoparticles in suspension.

Gary S Grest1, Qifei Wang, Pieter in't Veld

  • 1Sandia National Laboratories, Albuquerque, New Mexico 87185, USA. gsgrest@sandia.gov

The Journal of Chemical Physics
|April 19, 2011
PubMed
Summary
This summary is machine-generated.

Explicit solvent effects on nanoparticle interactions were simulated. Increased nanoparticle-solvent interaction forms a solvent layer, altering effective nanoparticle size and mediating interactions.

More Related Videos

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization
09:35

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization

Published on: December 25, 2017

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
10:12

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jun 2, 2026

Electroactive Polymer Nanoparticles Exhibiting Photothermal Properties
10:16

Electroactive Polymer Nanoparticles Exhibiting Photothermal Properties

Published on: January 8, 2016

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization
09:35

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization

Published on: December 25, 2017

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
10:12

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles

Published on: January 7, 2019

Area of Science:

  • Physical Chemistry
  • Materials Science
  • Computational Science

Background:

  • Understanding nanoparticle interactions is crucial for designing advanced materials.
  • Implicit solvent models simplify simulations but may not capture all physical phenomena.
  • Explicit solvent effects can significantly alter nanoparticle behavior and effective interactions.

Purpose of the Study:

  • To investigate the influence of explicit solvent on nanoparticle pair distribution functions.
  • To quantify the effect of nanoparticle size and nanoparticle-solvent interaction strength.
  • To determine the effective pair potential between nanoparticles in an explicit solvent.

Main Methods:

  • Molecular dynamics simulations were employed to model nanoparticle-solvent systems.
  • Nanoparticles were represented as uniform distributions of Lennard-Jones particles.
  • The Ornstein-Zernike integral equation was used to invert pair distribution functions.

Main Results:

  • Explicit solvent inclusion leads to a solvent layer around nanoparticles, increasing their effective radii.
  • Stronger nanoparticle-solvent interactions enhance the formation of this solvent layer.
  • Simulations revealed distinct pair distribution functions compared to implicit solvent models.
  • Effective pair potentials between nanoparticles were derived from simulation data.

Conclusions:

  • Explicit solvent models are essential for accurately predicting nanoparticle interactions.
  • The interplay between nanoparticle size, solvent interactions, and effective potentials is significant.
  • This study provides a framework for understanding solvent-mediated nanoparticle assembly and behavior.