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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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Entropy within the Cell01:22

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A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
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Energetics of Solution Formation02:35

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The formation of a solution is an example of a spontaneous process, which is a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Formation of the solution requires the solute–solute and solvent–solvent...
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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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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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Self-Discrepancy Theory02:45

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Deindividuation00:57

Deindividuation

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Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
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Related Experiment Video

Updated: Aug 9, 2025

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers
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In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers

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Dissipation + Utilization = Self-Organization.

Harrison Crecraft1

  • 1GeoEx Analytics, Leesburg, VA 20176, USA.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

The thermocontextual interpretation (TCI) generalizes thermodynamics for open systems, defining exergy and efficiency. TCI

Keywords:
dissipative structuringdissipative systemsecosystemsevolutionnon-equilibrium thermodynamicsorigin of life

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Area of Science:

  • Thermodynamics
  • Non-equilibrium systems
  • Theoretical physics

Background:

  • The Second Law of Thermodynamics governs isolated systems, stating entropy maximization.
  • Open dissipative systems require a generalized framework beyond classical thermodynamics.
  • Exergy, a measure of potential work, is central to understanding energy utilization.

Purpose of the Study:

  • To apply the thermocontextual interpretation (TCI) to open dissipative systems.
  • To generalize the Second Law of Thermodynamics for non-isolated systems.
  • To introduce Postulate Five (MaxEff) for system efficiency maximization.

Main Methods:

  • Generalizing conceptual frameworks of mechanics and thermodynamics.
  • Defining exergy as a state property relative to surroundings.
  • Defining exergy dissipation and utilization as functional process properties.

Main Results:

  • TCI's Postulate Four generalizes the Second Law: non-isolated systems minimize exergy via dissipation or utilization.
  • System efficiency is defined as the ratio of exergy utilization to exergy input.
  • Postulate Five (MaxEff) posits that systems maximize efficiency within kinetic and boundary constraints.

Conclusions:

  • Increased system efficiency drives higher growth rates and functional complexity in dissipative networks.
  • These principles are crucial for understanding the origin and evolution of life.
  • TCI provides a unified framework for analyzing energy transformations in diverse systems.