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利用传输低频拉曼光谱技术对固体制剂中共晶的定量分析。

Solid-State Quantification of Cocrystals in Pharmaceutical Tablets Using Transmission Low-Frequency Raman Spectroscopy.

机构信息

Department of Molecular Pharmaceutics , Meiji Pharmaceutical University , 2-522-1, Noshio , Kiyose, Tokyo 204-8588 , Japan.

Division of Drugs , National Institute of Health Sciences , 3-25-26, Tonomachi , Kawasaki-ku, Kawasaki , Kanagawa 210-9501 , Japan.

出版信息

Anal Chem. 2019 Nov 5;91(21):13427-13432. doi: 10.1021/acs.analchem.9b01895. Epub 2019 Oct 10.

Abstract

To enable the continuous production of cocrystal-containing pharmaceutical tablets, guaranteeing the cocrystal content of the final pharmaceutical tablets in the solid state is critical. This study demonstrates the quantification of caffeine-glutaric acid cocrystals in model tablets using transmission low-frequency Raman spectroscopy. Although distinguishing between cocrystals and raw materials using conventional Raman spectroscopy is difficult, the use of low-frequency Raman spectroscopy enables the discrimination of cocrystals and raw materials. Low-frequency Raman spectra were analyzed by the partial least-squares method (PLS) to obtain the predicted contents in the model tablets. To evaluate the quantitative ability of this method, the root means square error of cross-validation (RMSECV) was determined by comparing the actual concentration and predicted content with a calibration curve. For cocrystal-containing tablets, the quantitative ability of the transmission mode (RMSECV = 2.06- 3.17) was 13.4-31.4% higher than that of the backscattering mode (RMSECV= 2.37- 3.91). The coexistence of raw crystalline materials did not affect the quantitative ability for cocrystals.

摘要

为了实现含共晶药物片剂的连续生产,确保最终固态药物片剂中的共晶含量至关重要。本研究采用传输低频 Raman 光谱法对模型片剂中的咖啡因-戊二酸共晶进行定量。虽然使用常规 Raman 光谱法难以区分共晶和原料药,但低频 Raman 光谱法可用于区分共晶和原料药。采用偏最小二乘法(PLS)对低频 Raman 光谱进行分析,以获得模型片剂中的预测含量。为了评估该方法的定量能力,通过比较校准曲线的实际浓度和预测含量,确定了交叉验证均方根误差(RMSECV)。对于含共晶的片剂,传输模式(RMSECV=2.06-3.17)的定量能力比背散射模式(RMSECV=2.37-3.91)高 13.4-31.4%。原料晶态物质的共存并不影响共晶的定量能力。

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