ANN	artificial neural networks;
BBN	Bayesian belief network;
FIR	far-infrared;
FDA	factorial discriminant analysis;
FFT	fast Fourier transform;
FT	Fourier transform;
HCA	hierarchical cluster analysis;
HSI	hyperspectral imaging;
IR	infrared;
k-NN	k-nearest neighbors;
LDA	linear discriminant analysis;
LW-NIR	long-wave near infrared;
MIR	mid-infrared;
NMR	nuclear magnetic resonance;
MSC	multiplicative scatter correction;
NIR	near-infrared;
OPLS-DA	orthogonal partial least square-discriminant analysis;
PCA	principal component analysis;
PLS-DA	partial least square-discriminant analysis;
PNN	probabilistic neural network;
QDA	quadratic factorial analysis;
SERS	surface-enhanced Raman spectroscopy;
SG	Savitzky–Golay smoothing;
SIMCA	soft independent modelling of class analogy;
SNV	standard normal variate;
SVM	support vector machine;
SW-NIR	short-wave near infrared;
UV	ultraviolet;
Vis	visible.