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相关概念视频

Solubility of Ionic Compounds02:55

Solubility of Ionic Compounds

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Solubility is the measure of the maximum amount of solute that can be dissolved in a given quantity of solvent at a given temperature and pressure. Solubility is usually measured in molarity (M) or moles per liter (mol/L). A compound is termed soluble if it dissolves in water.
63.3K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

790
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...
790
Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

4.1K
The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place,...
4.1K
Solution Formation02:16

Solution Formation

31.7K
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...
31.7K
Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

33.9K
The formation of a solution is an example of a spontaneous process, 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. Such a solution is called an ideal solution. A mixture of ideal gases (or gases such as helium and argon,...
33.9K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

324
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...
324

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Updated: Jul 13, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

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预测粘性多价值离子液体溶剂中的气态溶液扩散.

Feranmi V Olowookere1, C Heath Turner1

  • 1Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, Alabama 35487-0203, United States.

The journal of physical chemistry. B
|October 13, 2023
PubMed
概括
此摘要是机器生成的。

一种新的缩放方法简化了在粘性溶剂中预测溶解物扩散的方法. 该方法使用溶剂可访问的表面积,从短分子动力学模拟提供准确的估计.

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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
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In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
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科学领域:

  • 计算化学是一种计算化学.
  • 物理化学 物理化学
  • 材料科学 是一种材料科学.

背景情况:

  • 由于长时间尺度,分子动力学模拟在密集,粘性溶剂中的溶液扩散计算方面面临挑战.
  • 准确预测溶液扩散对于理解和设计化学过程至关重要.

研究的目的:

  • 在具有挑战性的溶剂系统中开发一种新的缩放方法来预测溶液扩散.
  • 建立一个可靠的方法来估计从短模拟轨迹的扩散行为.

主要方法:

  • 用分子动力学分析多价离子液溶剂中CO2和SO2扩散的分析.
  • 评估各种缩放方法,包括恒温器策略和已建立的扩散模型 (Arrhenius,Speedy-Angell).
  • 在溶剂可访问的表面积和溶液扩散之间建立对数相关性.

主要成果:

  • 在溶剂可访问的表面积和溶液扩散之间确定了强烈的对数相关性.
  • 拟议的缩放方法有效地从短时间的模拟数据中预测溶液扩散.
  • 这些发现与既有理论如丹克沃茨表面更新和弗伦塔斯-杜达自由体积模型相一致.

结论:

  • 已经开发出一种新的,有效的方法来预测密集,粘性溶剂中的溶液扩散.
  • 溶剂可访问表面积相关性为增强复杂系统中的预测建模提供了宝贵的工具.
  • 这种方法可以加速在具有挑战性的化学环境中扩散的研究.