识别优化参数以提高气体生成颗粒的生产率,使用圆顶型挤出机
Ronak R Patel1, Dharmik M Mehta1
1School of Pharmacy, RK University, Rajkot, Gujarat, India.
Recent advances in drug delivery and formulation
|May 12, 2025
概括
优化挤出-球体化,这项研究确定了最大限度地提高制药颗粒生产率和质量的关键参数. 挤出和球化速度,以及时间,对于获得高产球形颗粒至关重要.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 药物输送系统 药物输送系统
- 过程优化 过程优化
背景情况:
- 挤出球化是一种关键的制药制造技术.
- 优化颗粒化以获得高产量,质量和成本效益仍然是一个挑战.
研究的目的:
- 通过使用圆顶挤出机来确定最大化生产速度的理想参数.
- 为了保持药品颗粒所需的物理特性.
主要方法:
- 使用了实验设计 (DOE) 和响应表面方法 (RSM).
- 中央复合面部中心设计分析了关键参数:挤出器速度,球体化速度和球体化时间.
- 测量了颗粒的特性 (球状性,易碎性,散装密度,产量).
主要成果:
- 挤出和球化速度对于最大限度地提高生产速度和颗粒质量至关重要.
- 最佳条件:23-27rpm的挤出速度,700-900rpm的球化速度和5-7分钟的球化时间.
- 实现了超过90%的球形颗粒的产量,具有理想的物理性能.
结论:
- 通过设计质量 (QbD) 方法成功优化了颗粒生产参数.
- 确定了影响圆顶型挤出机颗粒产量和质量的关键因素.
- 优化的颗粒显示了胃保持性或浮式药物输送系统的潜力.
相关概念视频
Optimizing Chromatographic Separations
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
Bioreactor Controls-II
In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...


