Near infrared spectroscopy;
Net analyte signal;
Multivariate calibration;
Partial least squares;
Figures of merit;
MULTIVARIATE DETECTION LIMITS;
CALIBRATION;
COMPUTATION;
UNCERTAINTY;
ERROR;
NIR;
PLS;
D O I:
10.1016/j.aca.2008.10.006
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
Near infrared spectroscopy (NIRS) has been extensively used as an analytical method for quality control of solid dosage forms for the pharmaceutical industry. Pharmaceutical formulations can be extremely complex, containing typically one or more active product ingredients (API) and various excipients, yielding very complex near infrared (NIR) spectra. The NIR spectra interpretability can be improved using the concept of net analyte signal (NAS). NAS is defined as the part of the spectrum unique to the analyte of interest. The objective of this work was to compare two different methods to estimate the API's NAS vector of different pharmaceutical formulations. The main difference between the methods is the knowledge of API free formulations NIR spectra. The comparison between the two methods was assessed in a qualitative and quantitative way. Results showed that both methods produced good results in terms of the similarity between the NAS vector and the pure API spectrum, as well as in the ability to predict the API concentration of unknown samples. Moreover, figures of merit such as sensitivity. selectivity, and limit of detection were estimated in a straightforward manner. (C) 2008 Elsevier B.V. All rights reserved.