在制药制造业的居住时间分布研究中的统计数据处理
Pooja Bhalode1, Sonia M Razavi2, Huayu Tian3
1Center of Plastics Innovation, University of Delaware, DE, USA.
International journal of pharmaceutics
|April 20, 2024
概括
噪声在居住时间分布 (RTD) 测量可以有效地使用Savitsky Golay过来管理. 这种方法保留了关键的RTD特征,确保了制药制造应用的准确分析.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 化学工程是化学工程的重要组成部分.
- 过程分析技术 (PAT) 是一种分析技术.
背景情况:
- 居住时间分布 (RTD) 对于理解制药制造中的粉末动态至关重要.
- 准确的RTD概况对于预测建模和质量保证至关重要.
- 在RTD测量中的大量噪音可能会阻碍准确的分析和建模.
研究的目的:
- 调查噪声对RTD测量和应用的影响.
- 为了评估RTD配置文件的不同denoising方法.
- 评估对基于RTD的应用程序,如OOS分析和建模的Denoising的影响.
主要方法:
- 在RTD配置文件中模拟不同的噪声水平,使用不同的追踪器.
- 使用时间和频率平均化无声化方法量化噪声的影响.
- 评估了Savitsky Golay过器在降低噪音方面的有效性.
主要成果:
- 萨维茨基·戈莱过被证明是有效的,在各种噪声级别的RTD配置文件中消除噪声.
- 研究和开发 (RTD) 概况的关键特征在退出后仍然存在.
- 考虑的噪声水平并没有显著影响基于RTD的应用,如OOS分析和RTD建模.
结论:
- 萨维茨基·戈莱过是一种适合在RTD测量中处理噪声的方法.
- 有效的噪音处理确保了基于RTD的应用在制药制造中的可靠性.
- 该研究提供了对RTD研究数据处理策略的实用见解.
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