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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Non-invasive quantitative assessment of the content of pharmaceutical capsules using transmission Raman spectroscopy.
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Non-invasive quantitative assessment of the content of pharmaceutical capsules using transmission Raman spectroscopy.

机译：使用透射拉曼光谱法对药物胶囊含量进行无创定量评估。

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摘要

This study demonstrates how transmission Raman spectroscopy can be used in the quantitative, non-invasive probing of the bulk content of production line relevant pharmaceutical products contained within capsules with a strong interfering Raman signal (principally TiO(2)). This approach is particularly beneficial in situations where the conventional Raman backscattering method is hampered or fails due to excessive Raman or fluorescence signals emanating from surface layers (capsule or coating) that pollute the much weaker subsurface Raman signals. In these feasibility experiments the interfering surface Raman signal was effectively suppressed, relative to the Raman signal of the internal content, by a factor of 33, in the transmission geometry in comparison with the conventional backscattering Raman approach. In conjunction with the superior bulk probing ability of the transmission Raman geometry, which effectively removes the sub-sampling problem inherent to conventional Raman spectroscopy, and multivariate analysis (principal component analysis (PCA), partial least squares (PLS) and classical least squares (CLS) regression), this provides an analytical tool well suited for rapid control monitoring applications in the pharmaceutical industry. The measured relative root mean square error of prediction (RMSEP) of the concentration of the active pharmaceutical ingredient (API) was 1.2 and 1.8% with 5 and 1s acquisition times, respectively.
机译：这项研究证明了透射拉曼光谱法可用于定量，非侵入性探测胶囊中包含的具有强烈干扰拉曼信号（主要是TiO（2））的生产线相关药物产品的大部分含量。这种方法在由于表面层（胶囊或涂层）发出过多的拉曼信号或荧光信号而污染了弱得多的次表面拉曼信号的情况下，阻碍或失败了常规拉曼反向散射方法的情况下特别有用。在这些可行性实验中，与传统的反向散射拉曼方法相比，在传输几何结构中，相对于内部含量的拉曼信号，干扰表面拉曼信号被有效地抑制了33倍。结合透射拉曼几何体的出色的整体探测能力，可有效消除传统拉曼光谱和多元分析（主成分分析（PCA），偏最小二乘（PLS）和经典最小二乘（ CLS（回归分析），这提供了非常适合制药行业快速控制监控应用的分析工具。活性药物成分（API）的浓度的相对预测均方根误差（RMSEP）为1.2％和1.8％，采集时间分别为5s和1s。

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