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相关概念视频

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

122
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...
122
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

753
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...
753
One-Compartment Open Model for IV Bolus Administration: General Considerations01:19

One-Compartment Open Model for IV Bolus Administration: General Considerations

167
The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
167
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

222
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...
222
Two-Compartment Open Model: IV Bolus Administration01:18

Two-Compartment Open Model: IV Bolus Administration

417
The two-compartment model for intravenous (IV) bolus administration illustrates drug distribution in the body, subdividing it into central and peripheral compartments. This model operates on the concept of two-compartment kinetics. The drug's plasma concentration shows a bi-exponential decline following IV bolus administration, signaling the presence of two disposition processes: distribution and elimination.
The disparity between drug input and the sum of drug transfer rates between...
417
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

277
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...
277

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Formation of Dispersible Taohong Siwu Tablets
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合理的基于函数的方法,以整合平板的减少顺序模型与上游单元运营:干颗粒的案例研究.

Sunidhi Bachawala1, Rexonni B Lagare2, Abigail B Delaney2

  • 1School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.

Pharmaceuticals (Basel, Switzerland)
|September 28, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种系统的方法,将粉末加工 (干颗粒) 与药片制造联系起来. 它确定了影响平板电脑质量的关键因素,并为流程优化提供了数学模型.

关键词:
两个变量的理性函数.干燥颗粒处理干燥颗粒处理颗粒大小的分布 颗粒大小的分布减少顺序模型的模型.带的密度 带的密度使用平板电脑.

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科学领域:

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

背景情况:

  • 在制药生产中,将上游单位运营与下游流程 (如片剂) 整合至关重要.
  • 干颗粒通常用于改善粉末流量,但可能会对可平板性产生负面影响.
  • 了解颗粒性质和平板电脑性能之间的复杂相互作用对于工艺控制至关重要.

研究的目的:

  • 开发一种系统和自动的方法,将降低订单的平板电脑模式与上游单位运营相结合.
  • 为了确定关键的材料属性和过程参数,规范干颗粒和平板之间的合.
  • 建立一个数学框架来描述和预测这种合.

主要方法:

  • 提出了一种新的方法,使用规范化的双变量理函数来建模合.
  • 使用10%的乙氨基和90%的微晶纤维素配方演示了该方法.
  • 制造了具有不同密度和尺寸分布的颗粒,并在一系列相对密度的范围内生产了片.

主要成果:

  • 成功确定了关键属性和参数,将干颗粒与片剂连接起来.
  • 量化了颗粒性质对粉末压缩阶段 (模具填充,压缩,卸载,喷射) 的影响.
  • 验证了拟议的数学模型来描述过程合.

结论:

  • 开发的方法可以实现端到端的集成,控制和优化干颗粒和平板的优化.
  • 提供了对影响粉末紧缩的颗粒性质的宝贵见解.
  • 有助于更深入地了解制药制造中的产品和工艺关系.