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相关概念视频

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

664
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...
664
Drug Dissolution: Requirements and Profile Comparison01:14

Drug Dissolution: Requirements and Profile Comparison

340
The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
340
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

1.8K
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...
1.8K
In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

291
Alternative drug dissolution methods include the rotating bottle, intrinsic dissolution test, peristalsis, and the Franz diffusion cell method. The rotating bottle method involves meticulously rotating tightly capped controlled-release beads in a temperature-controlled bath. Periodic decanting of samples allows for residue assay, followed by refilling with fresh medium and testing at various pH levels to emulate the gastrointestinal tract conditions.In contrast, the intrinsic dissolution test...
291
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

299
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
299
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

301
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
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Author Spotlight: Process Development for the Spray-Drying of Probiotic Bacteria and Evaluation of the Product Quality
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通过BBD-ANN-AGWO框架优化多目标喷雾干燥工艺:安德罗格拉福利德无形固体分散的案例

Guangpu Fang1,2, Changhao Jia1,2, Zhiqi Guan1

  • 1College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.

AAPS PharmSciTech
|February 25, 2026
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概括

本研究介绍了一种智能框架,用于优化喷雾干燥过程,使用人工神经网络和自适应灰狼优化器. 该方法通过提高能源效率,产量和药物释放来增强药物配方开发.

关键词:
适应性的灰狼优化器无形固体分散的无形固体分散安德罗格拉福利德的使用方法人工神经网络的人工神经网络这是一个多重目标的多重目标.

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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.
  • 计算化学计算化学

背景情况:

  • 喷雾干燥是制药配方中的一个关键过程,用于创建无形固体分散.
  • 优化多目标喷雾干燥参数 (例如能源消耗,产量,药物释放) 是复杂的.
  • 安德罗格拉福利德 (ADG) 无形固体分散作为过程优化的模型系统.

研究的目的:

  • 建立一个多目标喷雾干燥过程优化框架.
  • 整合盒式设计 (BBD),人工神经网络 (ANN) 和自适应灰狼优化器 (AGWO).
  • 为了优化andrographolide (ADG) 无形固体分散的配方.

主要方法:

  • 分子对接选了潜在的聚合物载体,以获得最佳的溶解性能.
  • 在体外溶解实验中确定了表现最好的载体.
  • 单因素和BBD试验评估了过程参数对关键结果的影响.
  • 开发了一个多响应的ANN模型,并增加了虚拟样本.
  • AGWO进行了反向优化,以确定最佳的过程参数.

主要成果:

  • 实验验证证证实了该模型的预测准确性.
  • 通过X射线衍射 (XRD) 和里埃变换红外 (FT-IR) 分析,验证了ADG的无形变换和稳定性.
  • 优化过程显示了令人满意的短期物理稳定性.
  • 该框架成功地平衡了多个优化目标.

结论:

  • 拟议的框架为制药配方开发提供了可行和智能的战略.
  • 整合BBD,ANN和AGWO可以实现高效的多目标优化.
  • 这种方法可用于优化各种制药过程,以提高药物输送效率.