RECENT ADVANCES IN KINETOMETRICS

Kinetometrics is a concept of increasing interest to kinetic-based det erminations as a result of dynamic systems frequently exhibiting won-l inear relationships that can readily be modelled with computational ai ds (mathematical algorithms), Curve-fitting and related algorithms hav e proved useful ist both error-compensated methods (which effectively address the variability of kinetic data arising from their transient n ature) and in simultaneous kinetic determinations. This article discus ses the usefulness of different kinetometric approaches currently avai lable, viz. Kalman filtering, multivariate (multiwavelength) calibrati on methods and artificial neural networks.