Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multi-way methods
- 作者：Sanni Matero ; Jari Paj ; er ; Anne-Marie Soikkeli ; Satu-Pia Reinikainen ; Maija Lahtela-Kakkonen ; Ossi Korhonen ; Jarkko Ketolainen ; Antti Poso
- 关键词：Parallel factor analysis ; N-mode partial least projection to latent structures ; Attenuated total reflectance-Fourier transform infra red ; Starch acetate matrix ; Drug release
- 刊名：Analytica Chimica Acta
- 出版年：2007
- 期刊代码：2_00032670
- 类别：ch
- 出版时间：9 July 2007
- 卷：595
- 期：1-2
- 页码：190-197
- 文件大小：757 K
摘要
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.