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首页> 外文期刊>Analytica chimica acta >Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multi-way methods
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Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multi-way methods

机译:使用多路方法从ATR-FTIR光谱预测醋酸淀粉基质片剂中的药物浓度

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The amounts of drug and excipient were predicted from ATR-FTIR spectra using two multi-way modelling techniques, parallel factor analysis (PARAFAC) and multi-linear partial least squares (N-PLS). Data matrices consisted of dissolved and undissolved parallel samples having different drug content and spectra, which were collected at axially cut surface of the flat-faced matrix tablets. Spectra were recorded comprehensively at different points on the axially cut surface of the tablet. The sample drug concentrations varied between 2 and 16% v/v. The multi-way methods together with ATR-FTIR spectra seemed to represent an applicable method for the determination of drug and excipient distribution in a tablet during the release process. The N-PLS calibration method was more robust for accurate quantification of the amount of components in the sample whereas the PARAFAC model provided approximate relative amounts of components.
机译:使用两种多方建模技术,平行因素分析(PARAFAC)和多线性偏最小二乘(N-PLS)从ATR-FTIR光谱预测药物和赋形剂的量。数据矩阵由具有不同药物含量和光谱的溶解和未溶解平行样品组成,这些样品是在平面基质片剂的轴向切割表面处收集的。在平板电脑的轴向切割表面上的不同点上全面记录了光谱。样品药物浓度在2%至16%v / v之间变化。多种方法以及ATR-FTIR光谱似乎代表了确定释放过程中片剂中药物和赋形剂分布的适用方法。 N-PLS校准方法对于准确定量样品中组分的数量更为稳健,而PARAFAC模型则提供了近似的相对组分数量。

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