MULTIVARIATE CALIBRATION AND
MODELING OF UV-VIS SPECTRA OF GUEST–
HOST COMPLEXES FOR THE DETERMINATION
OF THE ENANTIOMERIC RATIO OF
PROPRANOLOL
BOGDAN-CEZAR IACOB, IOANA TIUCA, EDE BODOKI*, RADU
OPREAN
“Iuliu Hatieganu” University of Medicine and Pharmacy, Department of
Analytical Chemistry, 4, Louis Pasteur St., 400349 Cluj-Napoca,
Romania
*corresponding author: bodokie@umfcluj.ro
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Abstract:

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.

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