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在存在未标记干扰物质的情况下,使用单变量方法和多元回归模型更新对氯霉素和地塞米松进行新型分光光度法测定。

Novel spectrophotometric determination of chloramphenicol and dexamethasone in the presence of non labeled interfering substances using univariate methods and multivariate regression model updating.

作者信息

Hegazy Maha A, Lotfy Hayam M, Rezk Mamdouh R, Omran Yasmin Rostom

机构信息

Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr el Aini Street, 11562 Cairo, Egypt.

Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr el Aini Street, 11562 Cairo, Egypt.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2015 Apr 5;140:600-13. doi: 10.1016/j.saa.2014.12.098. Epub 2015 Jan 14.

Abstract

Smart and novel spectrophotometric and chemometric methods have been developed and validated for the simultaneous determination of a binary mixture of chloramphenicol (CPL) and dexamethasone sodium phosphate (DSP) in presence of interfering substances without prior separation. The first method depends upon derivative subtraction coupled with constant multiplication. The second one is ratio difference method at optimum wavelengths which were selected after applying derivative transformation method via multiplying by a decoding spectrum in order to cancel the contribution of non labeled interfering substances. The third method relies on partial least squares with regression model updating. They are so simple that they do not require any preliminary separation steps. Accuracy, precision and linearity ranges of these methods were determined. Moreover, specificity was assessed by analyzing synthetic mixtures of both drugs. The proposed methods were successfully applied for analysis of both drugs in their pharmaceutical formulation. The obtained results have been statistically compared to that of an official spectrophotometric method to give a conclusion that there is no significant difference between the proposed methods and the official ones with respect to accuracy and precision.

摘要

已开发并验证了智能且新颖的分光光度法和化学计量学方法,用于在存在干扰物质的情况下同时测定氯霉素(CPL)和地塞米松磷酸钠(DSP)的二元混合物,无需事先分离。第一种方法基于导数减法与常数乘法相结合。第二种方法是在最佳波长处的比率差法,这些最佳波长是在通过乘以解码光谱应用导数变换法以消除未标记干扰物质的贡献之后选择的。第三种方法依赖于具有回归模型更新的偏最小二乘法。它们非常简单,不需要任何初步分离步骤。确定了这些方法的准确度、精密度和线性范围。此外,通过分析两种药物的合成混合物评估了特异性。所提出的方法已成功应用于两种药物制剂的分析。已将所得结果与官方分光光度法的结果进行了统计学比较,得出的结论是,在所提出的方法和官方方法之间,在准确度和精密度方面没有显著差异。

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