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利用化学计量学 X 射线粉末衍射分析定量测定茶碱粉末的水合物含量。

Quantitative determination of hydrate content of theophylline powder by chemometric X-ray powder diffraction analysis.

机构信息

Faculty of Pharmacy, Research Institute of Pharmaceutical Sciences, Musashino University, 1-1-20 Shinmachi, Nishi-Tokyo 202-8585, Japan.

出版信息

AAPS PharmSciTech. 2010 Mar;11(1):204-11. doi: 10.1208/s12249-009-9357-4. Epub 2010 Feb 2.

Abstract

The purpose of this study was to establish a calibration model to predict the hydrate content in powder materials consisting of anhydrate (theophylline anhydrate (THA)) and theophylline monohydrate (THM) by using various kinds of X-ray powder diffraction (XRPD) analytical methods. XRPD profiles were measured five times each for 11 standard samples containing of THA and THM. THM content in the standard samples was evaluated based on XRPD profiles by the diffraction peak height and area methods, and the Wakelin's and principal component regression (PCR) methods, respectively. Since THA and THM were cube- and rod-shaped particles, the standard samples consisted of THA and THM showed crystal orientation due to THM crystal shape. THA showed reproducible XRPD profiles, but THM showed fluctuating intensities in some specific peaks in the profiles. The linear calibration models were evaluated based on calibration XRPD datasets of the standard materials by various methods. In the result based on validation XRPD datasets, the order of the mean bias and the mean accuracy were peak height > peak area > Wakelin's > PCR, indicating that PCR was the best method to correct sample crystal orientation. The effectiveness of the PCR method in construction of calibration models was discussed by a scientific approach based on regression vectors.

摘要

本研究的目的是建立一个校准模型,通过使用各种 X 射线粉末衍射(XRPD)分析方法来预测由无水物(茶碱无水物(THA))和一水茶碱(THM)组成的粉末材料中的水合物含量。对 11 个含有 THA 和 THM 的标准样品进行了五次 XRPD 图谱测量。基于衍射峰高和面积法、Wakelin 法和主成分回归(PCR)法,分别根据 XRPD 图谱评估标准样品中的 THM 含量。由于 THA 和 THM 为立方体形和棒形颗粒,因此由于 THM 晶体形状,标准样品表现出晶体取向。THA 显示出可重复的 XRPD 图谱,但 THM 在图谱中的某些特定峰处显示出波动的强度。通过各种方法对标准材料的校准 XRPD 数据集进行了线性校准模型的评估。在基于验证 XRPD 数据集的结果中,平均偏差和平均准确度的顺序为峰高>峰面积>Wakelin 法>PCR,表明 PCR 是校正样品晶体取向的最佳方法。通过基于回归向量的科学方法讨论了 PCR 方法在构建校准模型中的有效性。

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