A novel spectrophotometric method is described, including multivariate regression/model updating, for the analysis of a quaternary mixture of clopidogrel, atorvastatin, aspirin, and its degradation product salicylic acid. The multivariate algorithms adopted are partial least squares with and without using a "Genetic Algorithm" for selecting variables. Upon updating both models, they could be effectively applied to determine the studied drugs in their pharmaceutical formulations. Similarly, clopidogrel and aspirin in their combined pharmaceutical preparations could be readily determined. Moreover, the proposed method could be extended to the determination of spiked salicylic acid as a minor component in aspirin raw material and dosage forms. The accuracy and precision of the proposed methods were approved through statistical comparison with the reported methods.

中文翻译：

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遗传算法基于模型更新的PLS回归光度法测定降解产物中的氯吡格雷，阿托伐他汀和阿司匹林

描述了一种新颖的分光光度法，包括多元回归/模型更新，用于分析氯吡格雷，阿托伐他汀，阿司匹林及其降解产物水杨酸的季混合物。所采用的多元算法是局部最小二乘，有或没有使用“遗传算法”来选择变量。在更新两个模型之后，它们可以有效地应用于确定其药物制剂中的研究药物。同样，氯吡格雷和阿司匹林在其组合药物制剂中的含量很容易确定。而且，该方法可扩展到测定阿司匹林原料和剂型中微量的水杨酸加标。