ABSTRACT
The combination of supramolecular chemistry and pattern recognition protocols have increased in popularity to such an extent that a new field of chemistry, appropriately named “supramolecular analytical chemistry” is emerging. Chemometrics can be defined as the process, whereby data are transformed into information, used for decision making using statistical and mathematical techniques. Pattern recognition protocols have been used widely by analytical chemists. This short review focuses on statistical methods, in particular, linear discriminant analysis (LDA), principal component analysis (PCA), and artificial neural networks (ANNs) used in the field of supramolecular chemistry.
