Madbouly Eman A, El-Shanawani Abdalla A, El-Adl Sobhy M, Abdelkhalek Ahmed S
Department of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt.
BMC Chem. 2024 Apr 5;18(1):65. doi: 10.1186/s13065-024-01168-5.
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.
随着药物分析朝着环境可持续性发展，对提高分析人员的安全和健康条件的需求日益增长。因此，将化学计量学纳入环境友好型分析方法是一种很有前景的方法。法匹拉韦、头孢克肟和盐酸莫西沙星目前已用于新冠病毒疾病（COVID-19）的治疗。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，以测定药物制剂和加标人血浆中法匹拉韦、头孢克肟和盐酸莫西沙星的含量。由于法匹拉韦、头孢克肟和莫西沙星的紫外吸收光谱存在重叠，同时测定它们具有挑战性。已开发了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），以便在分光光度法测定所研究药物时提供更好的预测能力。所描述的模型是使用五级三因素实验设计创建的。对模型的结果进行了全面评估和解释，并与公认值进行了统计比较。还利用分析生态规模和绿色分析程序指数（GAPI）评估方法来确定上述模型的环境友好程度。结果表明所描述的模型很好地符合了环境要求。
