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

The Colloidal State01:29

The Colloidal State

153
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...
153
Colloidal precipitates01:09

Colloidal precipitates

6.8K
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...
6.8K
Colloids and Suspensions01:17

Colloids and Suspensions

3.9K
Children at play often make suspensions such as mixtures of mud and water, flour and water, or a suspension of solid pigments in water known as tempera paint. These suspensions are heterogeneous mixtures composed of relatively large particles visible to the naked eye or seen with a magnifying glass. They are cloudy, and the suspended particles settle out after mixing. The suspended particles in a suspension settle out after some time of mixing. The separation of particles from a suspension is...
3.9K
Colloids03:22

Colloids

22.1K
Children at play often make suspensions such as mixtures of mud and water, flour and water, or a suspension of solid pigments in water known as tempera paint. These suspensions are heterogeneous mixtures composed of relatively large particles that are visible to the naked eye or can be seen with a magnifying glass. They are cloudy, and the suspended particles settle out after mixing. On the other hand, a solution is a homogeneous mixture in which no settling occurs and in which the dissolved...
22.1K
Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

7.2K
In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
7.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

316
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
316

You might also read

Related Articles

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

Sort by
Same author

The effect of doping on the mechanical properties of rare-earth oxides - an atomistic study.

Physical chemistry chemical physics : PCCP·2026
Same author

Evaluating the Impact of Green Coffee Bean Powder on the Quality of Whole Wheat Bread: A Comprehensive Analysis.

Foods (Basel, Switzerland)·2024
Same author

Toward Metal Extraction from Regolith: Theoretical Investigation of the Solvation Structure and Dynamics of Metal Ions in Ionic Liquids.

The journal of physical chemistry. B·2023
Same author

Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions.

Nature communications·2021
Same author

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.

Bioinformatics (Oxford, England)·2019
Same author

Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families.

Genome biology·2019

Related Experiment Video

Updated: Apr 5, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.6K

Combined deterministic-stochastic framework for modeling the agglomeration of colloidal particles.

S M Mortuza1, Lahiru K Kariyawasam1, Soumik Banerjee1

  • 1School of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164-2920, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 15, 2015
PubMed
Summary

This study introduces a multiscale model combining molecular dynamics (MD) and kinetic Monte Carlo (kMC) to simulate colloidal particle aggregation. The model accurately tracks cluster growth and shape, agreeing with existing theories.

More Related Videos

Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly
10:17

Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly

Published on: November 4, 2021

3.8K
Synthesis and Characterization of Supramolecular Colloids
09:26

Synthesis and Characterization of Supramolecular Colloids

Published on: April 22, 2016

10.6K

Related Experiment Videos

Last Updated: Apr 5, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.6K
Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly
10:17

Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly

Published on: November 4, 2021

3.8K
Synthesis and Characterization of Supramolecular Colloids
09:26

Synthesis and Characterization of Supramolecular Colloids

Published on: April 22, 2016

10.6K

Area of Science:

  • Colloid and Surface Science
  • Computational Chemistry
  • Materials Science

Background:

  • Colloidal particle aggregation is crucial in various scientific and industrial applications.
  • Simulating aggregation requires bridging molecular and macroscopic scales, a significant computational challenge.

Purpose of the Study:

  • To develop and validate a novel multiscale model for studying aggregation-driven growth of colloidal particles.
  • To accurately capture both molecular-level interactions and macroscopic aggregation phenomena.

Main Methods:

  • Utilized coarse-grained molecular dynamics (CGMD) to identify agglomeration events and determine rate constants.
  • Employed kinetic Monte Carlo (kMC) simulations with calculated rate constants to model long-timescale cluster growth.
  • Developed a unique methodology for detecting and characterizing agglomeration events, considering both cluster and molecular scales.

Main Results:

  • The multiscale model successfully simulated fullerene aggregation in NaCl electrolyte solution.
  • Observed a transition from diffusion-limited cluster aggregation (DLCA) to gelation, consistent with theoretical predictions.
  • Demonstrated the model's capability to track cluster growth beyond the limits of traditional molecular simulations.

Conclusions:

  • The developed multiscale model provides a versatile and accurate approach for simulating colloidal particle aggregation.
  • The model's ability to capture diverse aggregation regimes (DLCA, percolation, gelation) highlights its broad applicability.
  • This methodology can be extended to various colloidal systems, advancing the understanding of particle growth dynamics.