Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt.
Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Jan 5;224:117430. doi: 10.1016/j.saa.2019.117430. Epub 2019 Jul 26.
Five Selective, rapid and sensitive spectrofluorimetric methods were performed in this study for the simultaneous estimation of amlodipine besylate (AML) and atorvastatin (ATR) in their binary mixtures and combination polypills that are used for management of cardiovascular conditions. The first method depends on micelle-enhanced first derivative synchronous fluorimetric analysis (method I) and the other four methods are multivariate analysis techniques based on the use of factor-based calibration prediction methods comprising partial least squares (PLS), Principal Component Regression (PCR), genetic algorithm PLS (GA-PLS) and genetic algorithm PCR (GA-PCR). The synchronous fluorescence spectra of the solutions were measured at a constant wavelength difference; Δλ = 100 nm. The magnitudes of the peaks of the first derivative spectra (1D) were measured at 292 nm and 387 nm for ATR, and AML correspondingly. The multivariate models were constructed utilizing fifteen mixtures as a calibration set and ten mixtures as a validation set. The linearity of all the methods was in the concentration ranges of (0.1-4.0 μg mL, 0.4-10.0 μg mL) for AML and ATR, correspondingly. Statistical analysis revealed no significant difference between the proposed methods and the reference method. The validity of the proposed methods allows their suitability for quality control work. All the analysis settings were optimized and all the suggested procedures were applied productively for the determination of both drugs in synthetic mixtures, validation set, and combination polypills.
本研究采用五种选择性、快速和灵敏的荧光分光光度法,同时测定苯磺酸氨氯地平(AML)和阿托伐他汀(ATR)在其二元混合物和复方药丸中的含量,这些复方药丸用于治疗心血管疾病。第一种方法依赖于胶束增强一阶导数同步荧光分析(方法 I),另外四种方法是基于使用基于因子的校准预测方法的多元分析技术,包括偏最小二乘法(PLS)、主成分回归(PCR)、遗传算法偏最小二乘法(GA-PLS)和遗传算法 PCR(GA-PCR)。在恒定波长差(Δλ=100nm)下测量溶液的同步荧光光谱。一阶导数光谱(1D)的峰幅度在 292nm 和 387nm 处分别测量用于 ATR 和 AML。多元模型的构建使用了十五个混合物作为校准集和十个混合物作为验证集。所有方法的线性范围均为(0.1-4.0μgmL,0.4-10.0μgmL),分别对应于 AML 和 ATR。统计分析表明,所提出的方法与参考方法之间无显著差异。所提出方法的有效性允许其适用于质量控制工作。所有的分析设置都进行了优化,并成功地应用于所有建议的程序,用于测定合成混合物、验证集和复方药丸中的两种药物。