Influence and correction of temperature perturbations on NIR spectra during the monitoring of a polymorph conversion process prior to self-modelling mixture analysis
reaction monitoring;
NIR spectroscopy;
temperature influence;
temperature correction;
polymorph conversion;
self-modelling mixture analysis;
chemometrics;
D O I:
10.1016/S0731-7085(97)00177-5
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
The influence of temperature variations on the rank of a NIR dataset, has been investigated by comparing the results of principal component analysis (PCA) and evolving factor analysis (EFA), applied to two datasets measured at constant temperature and varying temperature. After temperature correction, the concentration profiles and spectra were obtained with PCA, SIMPLISMA and the orthogonal projection approach (OPA). The same resolution methods were used on the dataset measured at constant temperature. (C) 1998 Elsevier Science B.V. All rights reserved.