Dinç Erdal, Ozdemir Abdil
Department of Analytical Chemistry, Faculty of Pharmacy, University of Ankara, 06100 Tandoğan, Ankara, Turkey.
Farmaco. 2005 Jun-Jul;60(6-7):591-7. doi: 10.1016/j.farmac.2005.04.008.
Multivariate chromatographic calibration technique was developed for the quantitative analysis of binary mixtures enalapril maleate (EA) and hydrochlorothiazide (HCT) in tablets in the presence of losartan potassium (LST). The mathematical algorithm of multivariate chromatographic calibration technique is based on the use of the linear regression equations constructed using relationship between concentration and peak area at the five-wavelength set. The algorithm of this mathematical calibration model having a simple mathematical content was briefly described. This approach is a powerful mathematical tool for an optimum chromatographic multivariate calibration and elimination of fluctuations coming from instrumental and experimental conditions. This multivariate chromatographic calibration contains reduction of multivariate linear regression functions to univariate data set. The validation of model was carried out by analyzing various synthetic binary mixtures and using the standard addition technique. Developed calibration technique was applied to the analysis of the real pharmaceutical tablets containing EA and HCT. The obtained results were compared with those obtained by classical HPLC method. It was observed that the proposed multivariate chromatographic calibration gives better results than classical HPLC.
开发了多元色谱校准技术，用于在存在氯沙坦钾（LST）的情况下对片剂中的马来酸依那普利（EA）和氢氯噻嗪（HCT）二元混合物进行定量分析。多元色谱校准技术的数学算法基于使用在五个波长组下浓度与峰面积之间的关系构建的线性回归方程。简要描述了这种具有简单数学内容的数学校准模型的算法。这种方法是用于最佳色谱多元校准和消除来自仪器和实验条件波动的强大数学工具。这种多元色谱校准包括将多元线性回归函数简化为单变量数据集。通过分析各种合成二元混合物并使用标准加入技术对模型进行了验证。将开发的校准技术应用于含有EA和HCT的真实药片片剂的分析。将获得的结果与通过经典HPLC方法获得的结果进行比较。观察到所提出的多元色谱校准比经典HPLC给出更好的结果。
