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Raman Spectroscopy as a PAT-Tool for Film-Coating Processes: In-Line Predictions Using one PLS Model for Different Cores

机译:拉曼光谱作为薄膜涂层工艺的拼凑工具:使用一个PLS模型的不同核心模型的在线预测

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摘要

Although Raman spectroscopy has been described as a potential process analytical technique for tablet coating, it has rarely been transferred from academic studies to commercial manufacturing applications. The reasons for this are probably not only the high level of process understanding and experience with multivariate data analysis required, but also the product-dependent elaborate model-building. Hence, this study represents a feasibility study to investigate, whether subtraction of core spectra is a suitable approach to generate versatile models for one specific coating that can be applied on a multitude of different tablet cores. Raman spectroscopy was used to predict the application of coatings on three different tablet cores using PLS regression. The obtained spectra were preprocessed, and differential spectra were calculated by subtraction of the core spectrum from each inline spectrum. Normalization ensured comparability between the spectral data of the different cores. It was shown that in general it is possible to build models for a specific coating suspension that can predict the application of this suspension on different cores. In the presence of a strong Raman marker (TiO2), promising results were obtained. Without the presence of a strong Raman marker this modeling approach is to be considered critical.
机译:虽然已被描述为片剂涂层的潜在过程分析技术,但很少从学术研究转移到商业制造应用。这可能不仅可能需要多变量数据分析的高水平的过程理解和经验,而且还需要多变量数据分析,而且还有依赖于产品的精心设计模型建设。因此,本研究代表了研究的可行性研究,无论是核心光谱的减法是一种合适的方法,可以用于一种可用于一种特定涂层的多功能模型,这些方法可以应用于多种不同的平板电脑核心。使用PLS回归预测拉曼光谱法预测涂层在三种不同片状核上的应用。所获得的光谱是预处理的,通过从每个内联谱减去核心光谱来计算差分光谱。归一化确保不同核心的光谱数据之间的可比性。结果表明,通常可以构建特定涂层悬浮液的模型,其可以预测该悬浮液在不同的核上的应用。在强烈拉曼标记物(TiO 2)存在下,获得了有希望的结果。如果没有强大的拉曼标记,这种建模方法将被认为是至关重要的。

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