Εφαρμογή μεθόδων πολυπαραμετρικής βαθμονόμησης με χημειομετρικές τεχνικές στον ταυτόχρονο προσδιορισμό πολλών συστατικών

Abstract

The Present Ph.D. thesis describes some of the most recent applications of chemometrics applied to the simultaneous multicomponent determination. The main goal of this work is the examination of thebehavior of chemometric models in chemical systems which used often in Analytical Chemistry, and the extraction of information from kinetic characteristics of the analytes. Various chemometric techniques have been developed and applied with the use of commercial or laboratorymade algorithms (Classical Least Squares, Inverse Least Squares, Partial Least Squares, and Principal Component Regression). These techniques were applied to data sets from a number of “real life” chemical systems, and the results were statistically analyzed, evaluated and/or compared.The most important aspect of this thesis is not so the mathematical processes, or the development of new algorithms for well-known and investigated chemometric techniques, as the successful application of the last in many cases, where traditional methods fails to serve Analytical Chemistry. In addition, a new field of kinetics is proved to be a powerful 4 ' analytical tool, equal or better than well-established analytical methods.