J. Havel et al., EVALUATION OF MULTICOMPONENT KINETIC-ANALYSIS DATA BY A PARTIAL LEAST-SQUARES CALIBRATION METHOD, Analyst, 118(11), 1993, pp. 1355-1360
A partial least squares (PLS) calibration method is suggested for the
evaluation of multicomponent kinetic data. The advantage is that no ki
netic model is assumed and only the information from the kinetic curve
s themselves is used. In the procedure proposed, a model is developed
from samples of known composition, i.e., a calibration set, and is the
n used to predict unknowns, i.e., concentrations of the components in
a test set. The use of the PLS method for multicomponent kinetic analy
sis is demonstrated on several simulated and experimental data. It was
shown that it is possible to determine analytes in mixtures without a
ny previous knowledge either of the rate constants, mechanism of the r
eactions or molar absorptivities of the components. The method has bee
n validated on several two- and three-component simulated data and app
lied to the simultaneous kinetic determination of Co and V and the sto
pped-flow flow injection determination of Zn, Co and Fe.