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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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Colloids and Suspensions01:17

Colloids and Suspensions

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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...
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Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

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Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
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Solution Formation02:16

Solution Formation

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There is no one solvent that can dissolve every type of solute. Some substances that readily dissolve in a certain solvent might be insoluble in a different solvent. A simple way to predict which substances dissolve in which solvent is the phrase "like dissolves like". This means that polar substances, such as salt and sugar, dissolve in a polar substance like water. In contrast, non-polar substances are more soluble in non-polar solvents such as carbon tetrachloride.
This selective...
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Solution Equilibrium and Saturation01:59

Solution Equilibrium and Saturation

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Imagine adding a small amount of sugar to a glass of water, stirring until all the sugar has dissolved, and then adding a bit more. You can repeat this process until the sugar concentration of the solution reaches its natural limit, a limit determined primarily by the relative strengths of the solute-solute, solute-solvent, and solvent-solvent attractive forces. You can be certain that you have reached this limit because, no matter how long you stir the solution, undissolved sugar remains. The...
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Related Experiment Video

Updated: Jul 4, 2025

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
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Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

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Multi-population dissolution in confined active fluids.

Cayce Fylling1, Joshua Tamayo2, Arvind Gopinath2

  • 1Department of Applied Mathematics, University of California Merced, Merced, CA95343, USA. mtheillard@ucmerced.edu.

Soft Matter
|February 2, 2024
PubMed
Summary
This summary is machine-generated.

We developed a new computational method to model multi-population active fluids, like bacterial suspensions. Our simulations show hydrodynamic effects are key to understanding collective behaviors and active dissolution in these systems.

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Area of Science:

  • Physics
  • Biophysics
  • Fluid Dynamics

Background:

  • Autonomous out-of-equilibrium agents (e.g., cells, bacteria) are common in nature and engineering.
  • These agents convert chemical energy into mechanical stress, driving activity and large-scale dynamics in their environment.
  • Systems often involve multiple populations, such as different species or phenotypes, leading to complex interactions.

Purpose of the Study:

  • To present a novel computational method for modeling multi-population active fluids under confinement.
  • To investigate the spatiotemporal dynamics of confined bacterial suspensions and swarms.
  • To elucidate the role of hydrodynamic effects in collective phenomena like active dissolution.

Main Methods:

  • A continuum multi-scale mean-field approach representing each population by its first three orientational moments.
  • Coupling the evolution of each population with the suspending fluid dynamics.
  • Utilizing a parallel adaptive level-set-based solver for efficient computation and geometric flexibility.

Main Results:

  • The method successfully models spatiotemporal dynamics in confined multi-population active fluids.
  • Simulations reproduce emergent collective patterns observed in bacterial suspensions.
  • Key features of active dissolution in two-population active-passive swarms were captured, highlighting the dominance of hydrodynamic effects.

Conclusions:

  • The developed method provides a powerful tool for studying complex active matter systems.
  • Hydrodynamic interactions play a dominant role in the dissolution dynamics of multi-population active swarms.
  • This work lays the groundwork for systematic characterization of collective phenomena in diverse natural and synthetic systems.