Recent applications in first- and second-order multivariate calibration in analytical chemistry

ARANCIBIA, J. A.; DAMIANI, P. C.; IBAÑEZ, G. A.; OLIVIERI, A. C

JOURNAL OF AOAC INTERNATIONAL

AOAC INT

Año: 2014 vol. 97 p. 39 - 49

1060-3271

In this report, we review the recent literature on the application of multivariate calibration techniques to both first- and second-order data, aimed at the analytical determination of analytes of interest or sample properties in a variety of industrial, pharmaceutical, food and environmental samples. The most employed data processing tools will be briefly described, with emphasis on the advantages which can be obained by applying specific combinations of multivariate data and algorithms. The main focus will be on works devoted to first-order data (i.e., spectra, chromatograms, etc.) combined with partial least-squares (PLS) regression, which has become the standard for this type of analytical research. A brief discussion on recent work on second-order data and algorithms is also included, as this field is rapidly growing, although it does not show at present the general applicability of the first-order counterparts.