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利用多元校正技术同时测定克拉维酸和阿莫西林的漫反射红外光谱。

Simultaneous diffuse reflectance infrared determination of clavulanic acid and amoxicillin using multivariate calibration techniques.

机构信息

Departamento de Química, Universidade Federal de Santa Maria, Campus, 97105-900, Santa Maria, Rio Grande do Sul, Brazil.

出版信息

Drug Test Anal. 2012 Jun;4(6):500-6. doi: 10.1002/dta.269. Epub 2011 Feb 25.

DOI:10.1002/dta.269
PMID:22740337
Abstract

A method for simultaneous determination of clavulanic acid (CA) and amoxicillin (AMO) in commercial tablets was developed using diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and multivariate calibration. Twenty-five samples (10 commercial and 15 synthetic) were used as a calibration set and 15 samples (10 commercial and 5 synthetic) were used for a prediction set. Calibration models were developed using partial least squares (PLS), interval PLS (iPLS), and synergy interval PLS (siPLS) algorithms. The best algorithm for CA determination was siPLS model with spectra divided in 30 intervals and combinations of 2 intervals. This model showed a root mean square error of prediction (RMSEP) of 5.1 mg g(-1). For AMO determination, the best siPLS model was obtained with spectra divided in 10 intervals and combinations of 4 intervals. This model showed a RMSEP of 22.3 mg g(-1). The proposed method was considered as a suitable for the simultaneous determination of CA and AMO in commercial pharmaceuticals products.

摘要

建立了一种采用漫反射红外傅里叶变换光谱(DRIFTS)和多元校正同时测定市售片剂中克拉维酸(CA)和阿莫西林(AMO)的方法。使用 25 个样品(10 个市售和 15 个合成)作为校准集,15 个样品(10 个市售和 5 个合成)作为预测集。使用偏最小二乘(PLS)、区间偏最小二乘(iPLS)和协同区间偏最小二乘(siPLS)算法建立了校准模型。对于 CA 的测定,最佳的 siPLS 模型是将光谱分为 30 个区间并组合 2 个区间的模型。该模型的预测均方根误差(RMSEP)为 5.1mg g(-1)。对于 AMO 的测定,最佳的 siPLS 模型是将光谱分为 10 个区间并组合 4 个区间的模型。该模型的 RMSEP 为 22.3mg g(-1)。该方法被认为适用于同时测定市售药物产品中的 CA 和 AMO。

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