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相关概念视频

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

157
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...
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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...
349
One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution01:09

One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

356
The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated...
356

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相关实验视频

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Formation of Dispersible Taohong Siwu Tablets
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对离散元素模型模拟的验证,用于预测平板电脑涂层变异性.

Rakulan Sivanesapillai1, Anja Ehrig2, Leon White Nogueira3

  • 1Bayer AG, Chemical and Pharmaceutical Development, Wuppertal, 42117, Germany.

International journal of pharmaceutics
|June 9, 2023
PubMed
概括

使用离散元件方法 (DEM) 的计算机模拟准确地预测了平板电脑涂层的变化. 这种方法有助于设计更高效的工业涂料工艺,通过尽量减少错误和理解不确定性.

关键词:
涂层的可变性可以变化.在DEM模拟中使用DEM模拟器.基于模型的过程设计设计.平板电脑的薄膜涂层.

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科学领域:

  • 制药工程 制药工程 制药工程
  • 计算流体动力学 计算流体动力学
  • 过程建模的过程建模.

背景情况:

  • 确保统一的片剂涂层分布和量化变异性是制药制造业面临的重大挑战.
  • 计算机模拟,特别是离散元件方法 (DEM),为涂层过程中的预测设计提供了一个有希望的方法.

研究的目的:

  • 评估平板电脑涂层工艺的离散元件方法 (DEM) 模拟的预测精度.
  • 评估实验和模拟输入不确定性对DEM模型预测的影响.
  • 通过在不同尺度和条件下对综合性实验数据集验证DEM预测.

主要方法:

  • 在各种尺度,条件和平板电脑形状上进行了广泛的平板电脑涂层实验.
  • 开发了一种水溶性配方,用于对涂层量进行快速UV/VIS光谱分析.
  • 利用离散元件方法 (DEM) 模拟来建模和预测涂层分布和可变性.

主要成果:

  • DEM预测始终处于实验确定的置信区间内.
  • 在DEM预测和涂层可变性的实验估计之间,获得了0.54%的平均绝对比较误差.
  • 识别了喷雾面积尺寸参数化作为模拟错误的主要来源,尽管在较大的规模上比实验不确定性小.

结论:

  • 离散元件方法 (DEM) 模拟显示了平板电脑涂层工艺的高预测性.
  • 对于工业涂层操作的模型预测设计,DEM是一个有价值的工具.
  • 了解和最小化模拟输入不确定性,特别是喷雾面积,可以提高模型的准确性.