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太赫兹频域传感结合定量多元分析用于药物片剂检测。

Terahertz frequency-domain sensing combined with quantitative multivariate analysis for pharmaceutical tablet inspection.

机构信息

Department of Microtechnology and Nanoscience, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden.

Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden.

出版信息

Int J Pharm. 2023 Feb 5;632:122545. doi: 10.1016/j.ijpharm.2022.122545. Epub 2022 Dec 26.

Abstract

Near infrared (NIR) and Raman spectroscopy combined with multivariate analysis are established techniques for the identification and quantification of chemical properties of pharmaceutical tablets like the concentration of active pharmaceutical ingredients (API). However, these techniques suffer from a high sensitivity to particle size variations and are not ideal for the characterization of physical properties of tablets such as tablet density. In this work, we have explored the feasibility of terahertz frequency-domain spectroscopy, with the advantage of low scattering effects, combined with multivariate analysis to quantify API concentration and tablet density. We studied 33 tablets, consisting of Ibuprofen, Mannitol, and a lubricant with API concentration and filler particle size as the design factors. The terahertz signal was measured in transmission mode across the frequency range 750 GHz to 1.5 THz using a vector network analyzer, frequency extenders, horn antennas, and four off-axis parabolic mirrors. The attenuation spectral data were pre-processed and orthogonal partial least square (OPLS) regression was applied to the spectral data to obtain quantitative prediction models for API concentration and tablet density. The performance of the models was assessed using test sets. While a fair model was obtained for API concentration, a high-quality model was demonstrated for tablet density. The coefficient of determination (R) for the calibration set was 0.97 for tablet density and 0.98 for API concentration, while the relative prediction errors for the test set were 0.7% and 6% for tablet density and API concentration models, respectively. In conclusion, terahertz spectroscopy demonstrated to be a complementary technique to Raman and NIR spectroscopy, which enables the characterization of physical properties of tablets like tablet density, and the characterization of API concentration with the advantage of low scattering effects.

摘要

近红外(NIR)和拉曼光谱结合多元分析是鉴定和定量药物片剂化学性质的成熟技术,例如活性药物成分(API)的浓度。然而,这些技术对粒径变化非常敏感,不适合片剂物理性质的表征,例如片剂密度。在这项工作中,我们探索了太赫兹频域光谱的可行性,该技术具有低散射效应的优势,结合多元分析可用于定量 API 浓度和片剂密度。我们研究了 33 片,由布洛芬、甘露醇和一种润滑剂组成,API 浓度和填充颗粒尺寸是设计因素。太赫兹信号使用矢量网络分析仪、频率扩展器、喇叭天线和四个离轴抛物面镜在传输模式下在 750GHz 至 1.5THz 的频率范围内进行测量。衰减光谱数据进行预处理,然后将正交偏最小二乘(OPLS)回归应用于光谱数据,以获得 API 浓度和片剂密度的定量预测模型。使用测试集评估模型的性能。虽然获得了 API 浓度的公平模型,但演示了片剂密度的高质量模型。校准集的决定系数(R)为片剂密度 0.97 和 API 浓度 0.98,而测试集的相对预测误差分别为片剂密度和 API 浓度模型的 0.7%和 6%。总之,太赫兹光谱证明是拉曼和 NIR 光谱的补充技术,它能够表征片剂的物理性质,如片剂密度,并且具有低散射效应的 API 浓度的表征优势。

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