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使用拉曼光谱和X射线粉末衍射对三元混合物中三种盐酸雷尼替丁固体形式进行定量固态分析。

Quantitative solid-state analysis of three solid forms of ranitidine hydrochloride in ternary mixtures using Raman spectroscopy and X-ray powder diffraction.

作者信息

Chieng Norman, Rehder Sönke, Saville Dorothy, Rades Thomas, Aaltonen Jaakko

机构信息

School of Pharmacy, University of Otago, Dunedin, New Zealand.

出版信息

J Pharm Biomed Anal. 2009 Jan 15;49(1):18-25. doi: 10.1016/j.jpba.2008.09.054. Epub 2008 Oct 17.

Abstract

The aim of the study was to develop a reliable quantification procedure for mixtures of three solid forms of ranitidine hydrochloride using X-ray powder diffraction (XRPD) and Raman spectroscopy combined with multivariate analysis. The effect of mixing methods of the calibration samples on the calibration model quality was also investigated. Thirteen ternary samples of form 1, form 2 and the amorphous form of ranitidine hydrochloride were prepared in triplicate to build a calibration model. The ternary samples were prepared by three mixing methods (a) manual mixing (MM) and ball mill mixing (BM) using two (b) 5 mm (BM5) or (c) 12 mm (BM12) balls for 1 min. The samples were analyzed with XRPD and Raman spectroscopy. Principal component analysis (PCA) was used to study the effect of mixing method, while partial least squares (PLS) regression was used to build the quantification models. PCA score plots showed that, in general, BM12 resulted in the narrowest sample clustering indicating better sample homogeneity. In the quantification models, the number of PLS factors was determined using cross-validation and the models were validated using independent test samples with known concentrations. Multiplicative scattering correction (MSC) without scaling gave the best PLS regression model for XPRD, and standard normal variate (SNV) transformation with centering gave the best model for Raman spectroscopy. Using PLS regression, the root mean square error of prediction (RMSEP) values of the best models were 5.0-6.9% for XRPD and 2.5-4.5% for Raman spectroscopy. XRPD and Raman spectroscopy in combination with PLS regression can be used to quantify the amount of single components in ternary mixtures of ranitidine hydrochloride solid forms. Raman spectroscopy gave better PLS regression models than XRPD, allowing a more accurate quantification.

摘要

本研究的目的是开发一种可靠的定量程序,用于使用X射线粉末衍射(XRPD)和拉曼光谱结合多变量分析来测定三种盐酸雷尼替丁固体形式的混合物。还研究了校准样品的混合方法对校准模型质量的影响。制备了13个一式三份的盐酸雷尼替丁晶型1、晶型2和无定形的三元样品,以建立校准模型。通过三种混合方法制备三元样品:(a)手动混合(MM)和球磨混合(BM),使用两种(b)5毫米(BM5)或(c)12毫米(BM12)的球磨1分钟。用XRPD和拉曼光谱对样品进行分析。主成分分析(PCA)用于研究混合方法的影响,而偏最小二乘(PLS)回归用于建立定量模型。PCA得分图表明,一般来说,BM12导致样品聚类最窄,表明样品均匀性更好。在定量模型中,使用交叉验证确定PLS因子的数量,并使用已知浓度的独立测试样品对模型进行验证。无缩放的乘法散射校正(MSC)给出了XPRD的最佳PLS回归模型,带中心化的标准正态变量(SNV)变换给出了拉曼光谱的最佳模型。使用PLS回归,最佳模型的预测均方根误差(RMSEP)值对于XRPD为5.0 - 6.9%,对于拉曼光谱为2.5 - 4.5%。XRPD和拉曼光谱结合PLS回归可用于定量盐酸雷尼替丁固体形式三元混合物中单一成分的含量。拉曼光谱给出的PLS回归模型比XRPD更好,从而实现更准确的定量。

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