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Related Concept Videos

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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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
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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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The chemical and physical properties of plasma membranes cause them to be selectively permeable. Since plasma membranes have both hydrophobic and hydrophilic regions, substances need to be able to transverse both regions. The hydrophobic area of membranes repels substances such as charged ions. Therefore, such substances need special membrane proteins to cross a membrane successfully. In  facilitated transport, also known as facilitated diffusion, molecules and ions travel across a...
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Occurrence of super-diffusion in two-layer networks.

Zhanhui Cai1, Xiaoqun Wu1, Juan Wei2

  • 1School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China.

Chaos (Woodbury, N.Y.)
|March 1, 2023
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Super-diffusion in two-layer networks occurs when diffusion is faster than in individual layers. Sparse network structures and similar layer diffusion abilities enhance this phenomenon, contrary to previous assumptions about edge overlap.

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Area of Science:

  • Network Science
  • Complex Systems
  • Information Diffusion

Background:

  • Super-diffusion describes faster information spread in multilayer networks compared to single layers.
  • Existing research often links super-diffusion to edge overlap and interlayer connectivity modes.

Purpose of the Study:

  • To investigate the key factors driving super-diffusion in two-layer networks.
  • To challenge the prevailing focus on edge overlap as the primary determinant of super-diffusion.

Main Methods:

  • Analysis of super-diffusion phenomena in two-layer network models.
  • Exploration of the impact of individual layer topology (sparse vs. dense).
  • Investigation of interlayer edge density and connection patterns.

Main Results:

  • Super-diffusion is not solely dependent on edge overlap degree.
  • Sparse topological structures in individual layers promote super-diffusion.
  • Similar diffusion capacities across layers are conducive to super-diffusion.
  • Interlayer edge density and connection patterns significantly influence super-diffusion.

Conclusions:

  • Network topology and layer diffusion similarity are critical for super-diffusion.
  • Findings offer strategies for optimizing diffusion in multilayer systems.
  • Implications for selecting information transmission paths and organizational network design.