Abstract (EN):
This review covers the application of chemometric methods of parallel factor analysis (PARAFAC, PARALIND and PARAFAC2) to multidimensional data structures generated by molecular fluorescence analysis, particularly to excitation-emission matrices of fluorescence (EEMs). The EEM trilinear model is presented and the dimensionality of the experimental data that can be acquired by molecular fluorescence. The direct relationship of the PARAFAC and EEM models are discussed and the concepts of unique decomposition, chemical rank and second order advantage are presented. A revision of the analytical chemistry applications of the PARAFAC models to three-way molecular fluorescence data structures is included.
Language:
English
Type (Professor's evaluation):
Scientific