Department of Chemistry, Government College University, Faisalabad, Pakistan.
Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Sep 5;238:118446. doi: 10.1016/j.saa.2020.118446. Epub 2020 May 6.
Quantification of antibiotics is of significant importance because of their use in the prevention and treatment of different diseases. Cefixime (CEF) is a cephalosporin antibiotic that is used against bacterial infections. In the present study, Raman spectroscopy has been applied for the identification and quantification of Raman spectral features of cefixime with different concentrations of Active Pharmaceutical Ingredient (API) and excipients in solid dosage forms. The changes in Raman spectral features of API and excipients in the solid dosage forms of cefixime were studied and Raman peaks were assigned based on the literature. Multivariate data analysis techniques including the Principal Component Analysis (PCA) and Partial Least Squares Regression analysis (PLSR) have been performed for the qualitative and quantitative analysis of solid dosage forms of cefixime. PCA was found helpful in differentiating all the Raman spectral data associated with the different solid dosage forms of cefixime. The coefficient of determination (R), mean absolute error (MAE), and mean relative error (MRE) for the calibration data-set were 0.99, 0.72, and 0.01 respectively and for the validation data-set were 0.99, 3.15, and 0.02 respectively, that shows the performance of the model. The root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were found to be 0.56 mg and 3.13 mg respectively.
由于抗生素在预防和治疗各种疾病中的应用，对其进行定量分析非常重要。头孢克肟（CEF）是一种头孢菌素类抗生素，用于治疗细菌感染。本研究应用拉曼光谱法对不同浓度的头孢克肟原料药（API）和辅料在固体制剂中的拉曼光谱特征进行了鉴定和定量分析。研究了头孢克肟固体制剂中 API 和辅料的拉曼光谱特征变化，并根据文献对拉曼峰进行了归属。采用主成分分析（PCA）和偏最小二乘回归分析（PLSR）等多元数据分析技术对头孢克肟固体制剂进行了定性和定量分析。PCA 有助于区分与不同头孢克肟固体制剂相关的所有拉曼光谱数据。校准数据集的决定系数（R）、平均绝对误差（MAE）和平均相对误差（MRE）分别为 0.99、0.72 和 0.01，验证数据集分别为 0.99、3.15 和 0.02，表明模型的性能良好。校准的均方根误差（RMSEC）和预测的均方根误差（RMSEP）分别为 0.56mg 和 3.13mg。
