As pharmaceutical analysis progresses towards environmental sustainability, there is a growing need to enhance the safety and health conditions for analysts. Consequently, the incorporation of chemometrics into environmentally friendly analytical methods represents a promising approach. Favipiravir, cefixime, and moxifloxacin hydrochloride have been currently used in COVID-19 treatment. In this study, we develop spectrophotometric methods depending on chemometric based models to measure the levels of favipiravir, cefixime, and moxifloxacin hydrochloride in pharmaceutical preparations and spiked human plasma. It is challenging to determine favipiravir, cefixime, and moxifloxacin simultaneously because of overlap in their UV absorption spectra. Two advanced chemometric models, partial least square (PLS) and genetic algorithm (GA), have been developed to provide better predictive abilities in spectrophotometric determination of the drugs under study. The described models were created using a five-level, three-factor experimental design. The outcomes of the models have been thoroughly assessed and interpreted, and a statistical comparison with recognized values has been taken into consideration. The analytical eco-scale and the green analytical procedure index (GAPI) evaluation methods were also utilized to determine how environmentally friendly the mentioned models were. The outcomes demonstrated how well the models described complied with the environmental requirements.

中文翻译：

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用于测定法匹拉韦、头孢克肟和盐酸莫西沙星作为 COVID-19 有效治疗组合的绿色化学计量辅助紫外分光光度法；在药物形式和加标人血浆中的应用

随着药物分析朝着环境可持续性方向发展，越来越需要提高分析人员的安全和健康条件。因此，将化学计量学纳入环境友好的分析方法是一种有前途的方法。法匹拉韦、头孢克肟和盐酸莫西沙星目前已用于治疗 COVID-19。在本研究中，我们开发了基于化学计量学模型的分光光度法来测量药物制剂和加标人血浆中法维匹拉韦、头孢克肟和盐酸莫西沙星的水平。由于紫外吸收光谱重叠，同时测定法匹拉韦、头孢克肟和莫西沙星具有挑战性。已开发出两种先进的化学计量学模型：偏最小二乘法 (PLS) 和遗传算法 (GA)，以在所研究药物的分光光度测定中提供更好的预测能力。所描述的模型是使用五水平、三因素实验设计创建的。模型的结果已经过彻底的评估和解释，并考虑了与公认值的统计比较。还利用分析生态尺度和绿色分析程序指数（GAPI）评价方法来确定上述模型的环境友好程度。结果证明了所描述的模型如何很好地符合环境要求。