MULTIVARIATE CALIBRATION AND MODELING OF UV-VIS SPECTRA OF GUEST- HOST COMPLEXES FOR THE DETERMINATION OF THE ENANTIOMERIC RATIO OF PROPRANOLOL

The main drawback of the conventional chiral separations techniques is the long method development, analysis and separation times, so there is a need of a new alternative. The key to the present issue is offered by the chemometric interpretation of spectroscopic data (FT-IR, NIR, UV-VIS, Fluorescence, etc.) without the need of a prior sample pretreatment and/or separation. The potential and performances of the above mentioned method is presented in a rapid chiral analysis of propranolol using β-cyclodextin as chiral selector with the data mining of UV absorbance spectra (185-400nm). For regression model building and crossvalidation, the spectra of calibration samples containing different propranolol enantiomeric ratios at 0.147mM total molar concentration and a fixed concentration of chiral selector (7.51mM β-cyclodextrin) in 100mM formate buffer (pH=3.00) were recorded with the aid of the DAD (diode array) detector of an Agilent G1600 capillary electrophoresis system. The good results obtained on synthetic samples reconfirmed the high analytical value of multivariate data analysis in general, and regression modeling in particular. Rezumat