Rimsha Gull, Shahbaz Muhammad, Majeed Muhammad Irfan, Nawaz Haq, Rashid Nosheen, Akram Muhammad Waseem, Shabbir Ifra, Kainat Kiran, Amir Aiman, Sultan Eiman, Munir Mulja, Imran Muhammad
Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
ACS Omega. 2023 Oct 27;8(44):41451-41457. doi: 10.1021/acsomega.3c05243. eCollection 2023 Nov 7.
Raman spectroscopy has been used to characterize and quantify the solid dosage forms of the commercially available drug febuxostat. For this purpose, different formulations consisting of the febuxostat (API) and excipients with different concentrations of the API are prepared and analyzed by Raman spectroscopy to identify different spectral features related to the febuxostat API and excipients. Multivariate data analysis tools such as principal component analysis (PCA) and partial least-squares regression (PLSR) analysis are used for qualitative and quantitative analyses. PCA has been found to be useful for the qualitative monitoring of various solid dosage forms. PLSR analysis has led to the successful prediction of API concentration in the unknown samples with a sensitivity and a selectivity of 98 and 99%, respectively. Moreover, the root-mean-square error (RMSE) of calibration and validation of the PLSR model has been found to be 2.9033 and 1.35, respectively. Notably, it is found to be very helpful for the comparison between the self-made formulations of febuxostat and commercially available febuxostat tablets (40 and 80 mg) of two different brands (Gouric and Zurig). These results showed that Raman spectroscopy can be a useful and reliable technique for identifying and quantifying the active pharmaceutical ingredient (API) in commercially available solid dosage forms.
拉曼光谱已被用于表征和定量市售药物非布索坦的固体剂型。为此，制备了由非布索坦（活性成分）和不同浓度活性成分辅料组成的不同制剂，并通过拉曼光谱进行分析，以识别与非布索坦活性成分和辅料相关的不同光谱特征。使用主成分分析（PCA）和偏最小二乘回归（PLSR）分析等多元数据分析工具进行定性和定量分析。已发现PCA可用于各种固体剂型的定性监测。PLSR分析已成功预测未知样品中的活性成分浓度，灵敏度和选择性分别为98%和99%。此外，PLSR模型校准和验证的均方根误差（RMSE）分别为2.9033和1.35。值得注意的是，发现这对于比较自制的非布索坦制剂与两个不同品牌（Gouric和Zurig）的市售非布索坦片剂（40毫克和80毫克）非常有帮助。这些结果表明，拉曼光谱可以是一种用于识别和定量市售固体剂型中活性药物成分（API）的有用且可靠的技术。
