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色谱方法开发中实验设计的使用指南:应用于选定抗糖尿病药物组合的分析

A guide for using experimental design in chromatographic method development: applied to the analysis of selected anti-diabetic pharmaceutical combinations.

作者信息

Ayoub B M, Abdel-Aziz O

出版信息

Pharmazie. 2016 Dec 1;71(12):683-690. doi: 10.1691/ph.2016.6095.

Abstract

A guide experimental design in chromatographic method development was described and applied successfully to the analysis of different recently approved anti-diabetic pharmaceutical combinations. Enhancement of UHPLC analysis of alogliptin benzoate either with pioglitazone hydrochloride or with metformin hydrochloride was achieved. The optimal chromatographic conditions were not attained by trial and error that requires a large number of experiments. Alternatively, a computer program was used as a systematic optimization strategy for the design of the experiment which accurately predicts the combined effect of different factors simultaneously. Resolution between peaks was studied by the proposed fractional factorial design approach performed by the Minitab® Program using screening and optimization steps. Application of the central composite design was implemented. A Pareto chart was used to exclude the insignificant variables. Linearity ranges were found to be 0.5-40 μg ml-1, 1-20 μg ml-1 and 1-32 μg ml-1 for alogliptin benzoate, pioglitazone hydrochloride and metformin hydrochloride, respectively. The proposed method is applicable for the analysis of six pharmaceutical dosage forms namely, Nesina®, Actos®, Glucophage®, Oseni®, Kazano® and Actoplus MET® tablets.

摘要

描述了一种色谱方法开发中的指导性实验设计,并成功应用于分析不同的近期获批的抗糖尿病药物组合。实现了用盐酸吡格列酮或盐酸二甲双胍增强苯甲酸阿格列汀的超高效液相色谱分析。通过试错法无法获得最佳色谱条件,因为这需要大量实验。相反,使用计算机程序作为实验设计的系统优化策略,该策略能同时准确预测不同因素的综合效应。使用Minitab®程序通过所提出的分数析因设计方法,利用筛选和优化步骤研究峰之间的分离度。实施了中心复合设计。使用帕累托图排除不显著变量。发现苯甲酸阿格列汀、盐酸吡格列酮和盐酸二甲双胍的线性范围分别为0.5 - 40 μg/ml、1 - 20 μg/ml和1 - 32 μg/ml。所提出的方法适用于分析六种药物剂型,即Nesina®、Actos®、Glucophage®、Oseni®、Kazano®和Actoplus MET®片剂。

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