氯沙坦钾
拉曼光谱
主成分分析
氯沙坦
偏最小二乘回归
化学
活性成分
均方误差
剂型
分析化学(期刊)
光谱学
色谱法
数学
血管紧张素II
统计
药理学
光学
医学
物理
量子力学
受体
生物化学
作者
Syeda Shafaq,Muhammad Irfan Majeed,Haq Nawaz,Nosheen Rashid,Maria Akram,Nimra Yaqoob,Ayesha Tariq,Samra Shakeel,A. ul Haq,Mudassar Saleem,M Nawaz,Rana Zaki Abdul Bari
标识
DOI:10.1016/j.saa.2022.120996
摘要
Raman spectroscopy is an outstanding analytical tool increasingly utilized in the pharmaceutical field for the solid-state pharmaceutical drug analysis. In current study, the potential of Raman spectroscopy has been investigated for qualitative and quantitative analysis of solid dosage form of Losartan potassium. For this purpose, different solid dosage forms/concentrations of losartan potassium were prepared to compensate the commercially available pharmaceutical drug formulations and their Raman spectral data showed a gradual change in the specific Raman spectral features associated with the active pharmaceutical ingredient (API) of Losartan potassium as a function of change in the concentration. The Raman spectral data was analyzed by using Principal Component Analysis (PCA) for the classification of different spectral data sets of different concentrations of drug. Moreover, partial least square regression (PLSR) analysis was performed for monitoring the quantitative relation among different concentrations of Losartan potassium API and spectral data by constructing a predictive model. From the model, the value of root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were observed to be 0.38 and 2.98 respectively and the value of goodness of fit was found to be 0.99. Furthermore, the quantity of unknown/blind sample of Losartan potassium formulation was also estimated by using PLSR model. From these results, it is demonstrated that Raman spectroscopy can be considered to be used for quick and reliable quantitative analysis of pharmaceutical solids.
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