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相关概念视频

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

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

770
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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Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

1.6K
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...
1.6K
Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

403
Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
403
In Vitro Drug Dissolution: Compendial Testing Models I01:13

In Vitro Drug Dissolution: Compendial Testing Models I

230
Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
230
In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

257
Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients,...
257

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相关实验视频

Updated: Jan 16, 2026

Transport Properties of Ibuprofen Encapsulated in Cyclodextrin Nanosponge Hydrogels: A Proton HR-MAS NMR Spectroscopy Study
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模拟和预测平板电脑溶解减速,使用加速因子方法和受约束的神经网络.

Yi Li1, Shalini Raj Unnikandam Veettil1, Tiffany Pham1

  • 1Gilead Sciences, Foster City, CA 94404, USA.

Journal of pharmaceutical sciences
|September 28, 2025
PubMed
概括

预测模型可以预测储存期间平板电脑溶解的减速. 加速度因子 (AF) 方法和受约束的神经网络有效预测了变化,帮助制定和包装决策.

关键词:
溶解模型是一个溶解模型.神经网络的神经网络的神经网络物理稳定性 物理稳定性固体剂量形式 固体剂量形式

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科学领域:

  • 制药科学 制药科学
  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 在储存期间平板电脑溶解的减缓可能会影响药物释放和生物可用性.
  • 使用加速数据的预测稳定性模型对于评估长期存储风险至关重要.
  • 了解和减轻溶解变化对于药物开发至关重要.

研究的目的:

  • 为了比较基于科学和机器学习的模型来预测平板电脑溶解减速.
  • 评估加速因子 (AF) 模型和受约束的神经网络的有效性.
  • 确定控制储存条件的策略,以防止溶解变化.

主要方法:

  • 应用经验加速因子 (AF) 模型来打开盘稳定性数据.
  • 用AF模型约束神经网络,利用阿雷尼乌斯关系和第一阶段衰变.
  • 与不受约束的神经网络和评估的包装存储数据进行了预测性能比较.

主要成果:

  • 无论是AF方法还是受约束的神经网络都准确地预测了包装片中的溶解概况.
  • 该AF模型确定了关键的湿度边界条件,以防止溶解减速.
  • 用AF模型限制神经网络提高了预测性能.

结论:

  • 加速稳定模型,特别是AF方法和受约束的神经网络,对预测溶解变化充满希望.
  • 这些方法可以作为药物开发中的有价值的建模方法来重新想象稳定性 (MARS) 工具.
  • 获得的洞察力有助于配方,包装选择和稳定性评估,以减轻溶解挑战.