Radial Basis Functions-Partial Least Squares for Simultaneous Determination of Ethinylestradiol and Levonorgestrel
Masoud Shariati-Rad, Mohsen Irandoust, Tayyebeh Amini and Farhad Ahmadi
Affiliation: Department of Analytical Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran.
Resolution of complex binary mixtures of Ethinylestradiol (ST) and Levonorgestrel (LEV) was successfully
achieved with minimum sample pre-treatment and without analyte separation. The work is based on the radial basis functions-
partial least squares (RBF-PLS) analysis of UV spectral data. For calibration and external test sets, binary mixtures
were rationally designed. The results for modeling and subsequent prediction in external test set samples resulted in Q2
values of 94.1 and 99.4% for ST and LEV, respectively. The RBF-PLS models were then successfully applied to determine
the analytes in real samples consisting of pharmaceutical preparations. In the analysis of the real samples, we excluded
the spectral regions where the unknown interferences are absorbed and matrix effect exists. The mean recoveries
for the real samples were between 90.6 and 106.8%. The estimated precisions of the method in terms of RSD% were in
most cases below 4%.
Keywords: Ethinylestradiol, levonorgestrel, radial basis functions-partial least squares, UV spectroscopy, design, spectral interference.
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