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使用拉曼光谱法在辅料存在的情况下同时定量测定卡马西平的三种多晶型物。

Simultaneous quantification of three polymorphic forms of carbamazepine in the presence of excipients using Raman spectroscopy.

作者信息

Farias Marco, Carneiro Renato

机构信息

Department of Chemistry, Federal University of São Carlos, Rodovia Washington Luiz Km 235, São Carlos, SP 13565-905, Brazil.

出版信息

Molecules. 2014 Sep 9;19(9):14128-38. doi: 10.3390/molecules190914128.

Abstract

The occurrence of polymorphic transitions is a serious problem for pharmaceutical companies, because it can affect the bioavailability of the final product. With several known polymorphic forms carbamazepine is one of the most problematic drugs in this respect. Raman spectroscopy is a vibrational technique that is becoming very important in the pharmaceutical field, mainly due to its highly specific molecular fingerprint capabilities and easy use as a process analytical tool. However, multivariate methods are necessary both for identification and quantification. In this work an analytical methodology using Raman spectroscopy and interval Partial Least Squares Regression (iPLS), was developed in order to quantify mixtures of carbamazepine polymorphs in the presence of the most common excipients. The three polymorphs CBZ I, CBZ III and CBZ DH (which is a dihydrate) were synthesized and characterized by PXRD and DSC. Subsequently, tablets were manufactured using excipients and 15 different mixtures of carbamazepine polymorphs. The iPLS model presented average prediction validation errors of 1.58%, 1.04% and 0.22% wt/wt, for CBZ I, CBZ III and CBZ DH, respectively, considering the whole mass of the tablet. The model presents a good prediction capacity and the proposed methodology could be used to perform quality control in final products.

摘要

多晶型转变的发生对制药公司来说是一个严重的问题,因为它会影响最终产品的生物利用度。卡马西平有几种已知的多晶型形式,在这方面是问题最大的药物之一。拉曼光谱是一种振动技术,在制药领域正变得非常重要,主要是由于其具有高度特异性的分子指纹识别能力,并且易于用作过程分析工具。然而,多变量方法对于识别和定量都是必要的。在这项工作中,开发了一种使用拉曼光谱和区间偏最小二乘回归(iPLS)的分析方法,以便在存在最常见辅料的情况下对卡马西平多晶型物的混合物进行定量。合成了三种多晶型物CBZ I、CBZ III和CBZ DH(一种二水合物),并通过粉末X射线衍射(PXRD)和差示扫描量热法(DSC)进行了表征。随后,使用辅料和15种不同的卡马西平多晶型物混合物制造了片剂。考虑到片剂的总质量,iPLS模型对CBZ I、CBZ III和CBZ DH的平均预测验证误差分别为1.58%、1.04%和0.22%(重量/重量)。该模型具有良好的预测能力,所提出的方法可用于最终产品的质量控制。

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