De Beer T R M, Wiggenhorn M, Veillon R, Debacq C, Mayeresse Y, Moreau B, Burggraeve A, Quinten T, Friess W, Winter G, Vervaet C, Remon J P, Baeyens W R G
Laboratory of Drug Analysis, Department of Pharmaceutical Analysis, Ghent University, Harelbekestraat 72, B-9000 Gent, Belgium.
Anal Chem. 2009 Sep 15;81(18):7639-49. doi: 10.1021/ac9010414.
The aim of the present paper is to demonstrate the importance of using complementary process analyzers (PAT tools) for the process monitoring, analysis, and understanding of freeze drying. A mannitol solution was used as a model system. Raman spectroscopic, near-infrared (NIR) spectroscopic, plasma emission spectroscopic, and wireless temperature measurements (TEMPRIS) were simultaneously performed in-line and real-time during each freeze-drying experiment. The combination of these four process analyzers to monitor a freeze-drying process is unique. The Raman and NIR data were analyzed using principal component analysis (PCA) and multivariate curve resolution (MCR), while the plasma emission spectroscopic and wireless temperature measurement data were analyzed using univariate data analysis. It was shown that the considered process analyzers do not only complement but also mutually confirm each other with respect to process step end points, physical phenomena occurring during freeze drying (process understanding), and product characterization (solid state). Furthermore and most important, the combined use of the process analyzers helped to identify flaws in previous studies in which these process analyzers were studied individually. Process analyzers might wrongly indicate that some process steps are fulfilled. Finally, combining the studied process analyzers also showed that more information per process analyzer can be obtained than previously described. A combination of Raman and plasma emission spectroscopy seems favorable for the monitoring of nearly all critical freeze-drying process aspects.
本文的目的是证明使用互补过程分析仪(过程分析技术工具)对冷冻干燥过程进行监测、分析和理解的重要性。使用甘露醇溶液作为模型系统。在每次冷冻干燥实验过程中,同时在线实时进行拉曼光谱、近红外(NIR)光谱、等离子体发射光谱和无线温度测量(TEMPRIS)。这四种过程分析仪结合用于监测冷冻干燥过程是独一无二的。拉曼光谱和近红外光谱数据使用主成分分析(PCA)和多元曲线分辨(MCR)进行分析,而等离子体发射光谱和无线温度测量数据使用单变量数据分析。结果表明,所考虑的过程分析仪不仅相互补充,而且在过程步骤终点、冷冻干燥过程中发生的物理现象(过程理解)和产品特性(固态)方面相互印证。此外,最重要的是,过程分析仪的联合使用有助于发现以前单独研究这些过程分析仪的研究中的缺陷。过程分析仪可能会错误地表明某些过程步骤已完成。最后,将所研究的过程分析仪结合起来还表明,每个过程分析仪可获得比以前描述的更多信息。拉曼光谱和等离子体发射光谱的结合似乎有利于监测几乎所有关键的冷冻干燥过程方面。