Analytical technique | Chemometrics method | References |
---|---|---|
UV–visible spectroscopy | PCR—principal component regression | |
TLRC—trilinear regression calibration | [164] | |
MLRC—multi-linear regression calibration | [164] | |
PLSR—partial least square regression | [165] | |
ILS—inverse least square | [166] | |
LC-NMR | PCA—principal component analysis | [167] |
OPA—orthogonal projection analysis | [168] | |
EFA—evolving factor analysis | [168] | |
MCR-ALS—multivariate curve resolution by alternating the least squares approach | [168] [168] | |
SFA—sub-window factor analysis | [168] | |
LC–MS | MCR-ALS—multivariate curve resolution by alternating the least squares approach | |
PARAFAC—parallel factor analysis | [171] | |
GC–MS | PCA—principal component analysis | [172] |
GRAM—generalized rank annihilation | [173] | |
FT-IR | PLS-DA—partial least square discriminate analysis | [174] |
PCA—principal component analysis | [175] | |
HPLC | PCA—principal component analysis | [176] |
GRAM—generalized rank annihilation | [177] | |
PARAFAC—parallel factor analysis | [177] | |
HCA—hierarchical cluster analysis | [178] | |
SIMCA—soft independent modelling of class analogy | [179] | |
RAFA—rank annihilation factor analysis | [180] | |
UPLC | PCR—principal component regression | [181] |
HCA—hierarchical cluster analysis | ||
Raman spectroscopy | PCA—principal component analysis | [182] |
SIMCA—soft independent modelling of class analogy | ||
NIR (near-infrared) | PLS—partial least square | [183] |
PCA—principal component analysis | [183] | |
SIMCA—soft independent modelling of class analogy | [184] | |
Spectrofluorometry | PLS—partial least square PARAFAC—parallel factor analysis | [185] |