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

Types of Coprecipitation01:10

Types of Coprecipitation

6.8K
Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
6.8K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

4.6K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
4.6K
Colloidal precipitates01:09

Colloidal precipitates

6.6K
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...
6.6K
Coagulation01:06

Coagulation

1.5K
Colloidal solids are solid particles suspended in solution. They are usually negatively charged, attracting a compact primary layer of positively charged ions, which attract more counterions to form an electrical double layer. Electrostatic repulsion between the charged double layers prevents the particles from colliding, stabilizing the colloids. These solids are often undesirable because they can contain toxins that are difficult to remove. Coagulation is a technique that helps aggregate and...
1.5K
Permeability of Concrete01:25

Permeability of Concrete

550
Permeability in the context of concrete refers to how easily liquids or gases can pass through the material. This quality is crucial for assessing the water-tightness and durability of concrete structures and their resistance to chemical attacks. Concrete permeability can be determined through comparative laboratory tests. These tests typically involve sealing a concrete specimen from the sides, applying water pressure to the top surface with pressure, and measuring the amount of water passing...
550
Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

849
Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...
849

You might also read

Related Articles

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

Sort by
Same author

Emergent domain segregation in self-interacting polymers explains chromosome 3D conformations in single human cells.

Physical review. E·2026
Same author

Physics-Based Modeling of Sparse Single-Cell Hi-C Uncovers Structural and Epigenetic Variability.

International journal of molecular sciences·2026
Same author

Colored sandpile.

Physical review. E·2025
Same author

Variational autoencoders understand knot topology.

Physical review. E·2025
Same author

Describing self-organized criticality as a continuous phase transition.

Physical review. E·2025
Same author

Role of mordenite zeolite in improving nutrient and water use efficiency in Alfisols.

Frontiers in plant science·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Feb 28, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.6K

Colored percolation.

Sumanta Kundu1, S S Manna1

  • 1Satyendra Nath Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata-700106, India.

Physical Review. E
|June 17, 2017
PubMed
Summary
This summary is machine-generated.

We introduce a "colored percolation" model where lattice sites are randomly occupied and colored. The percolation threshold depends on the number of colors and their distribution, revealing complex phase diagrams.

More Related Videos

Author Spotlight: Porphyrin-Modified Beads for Use as Compensation Controls in Flow Cytometry
10:06

Author Spotlight: Porphyrin-Modified Beads for Use as Compensation Controls in Flow Cytometry

Published on: March 24, 2023

3.1K
A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.
12:11

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

Published on: July 9, 2012

21.1K

Related Experiment Videos

Last Updated: Feb 28, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.6K
Author Spotlight: Porphyrin-Modified Beads for Use as Compensation Controls in Flow Cytometry
10:06

Author Spotlight: Porphyrin-Modified Beads for Use as Compensation Controls in Flow Cytometry

Published on: March 24, 2023

3.1K
A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.
12:11

A Modified EPA Method 1623 that Uses Tangential Flow Hollow-fiber Ultrafiltration and Heat Dissociation Steps to Detect Waterborne Cryptosporidium and Giardia spp.

Published on: July 9, 2012

21.1K

Area of Science:

  • Statistical Physics
  • Materials Science
  • Network Theory

Background:

  • Percolation theory is crucial for understanding connectivity in random systems.
  • Existing models often assume uniform properties, limiting applicability to complex scenarios.

Purpose of the Study:

  • Introduce and analyze a generalized "colored percolation" model in two dimensions.
  • Investigate the impact of color distribution on percolation thresholds and phase behavior.

Main Methods:

  • Developed a "colored percolation" model with 'n' distinct colors.
  • Analyzed bond connectivity based on adjacent site colors.
  • Introduced generalizations with preferential color selection and independent bond fraction parameters.

Main Results:

  • The percolation threshold p_{c}(n) converges to a limiting value as 1/n.
  • Generalized model p_{c}(q,m) shows non-trivial dependence on color probability 'q', with a minimum at q_{min}=m/n.
  • Phase diagrams reveal distinct percolating and non-percolating phases based on bond types.

Conclusions:

  • The "colored percolation" model offers a flexible framework for studying complex network connectivity.
  • Color distribution significantly influences system-wide percolation phenomena.
  • Generalized models provide deeper insights into phase transitions in disordered systems.