Abstract
DIFFERENT CHEMOMETRIC MODELS APPLIED FOR THE SIMULTANEOUS DETERMINATION OF CERTAIN DRUGS ACTING ON RESPIRATORY SYSTEM

Khalid Abdel-Salam M. Attia,, Mohammed W.I. Nassar, Ayman Osman

ABSTRACT

Different Chemometric models were applied for the quantitative analysis of Salbutamol (SL) and bromhexine (BH) in binary mixture, namely, Classical Least Square (CLS), Principle Component Regression (PCR), Artificial Neural Networks (ANN) as advanced model And Genetic algorithm- Artificial Neural Networks GA-ANN. The methods were used for the quantitative analysis of the drugs in raw materials and pharmaceutical dosage form via handling the UV spectral data. A 2-factor 5-level experimental design was established resulting in 25 mixtures containing different ratios of the drugs. Thirteen mixtures were used as a calibration set and the other twelve mixtures were used as validation set to validate the prediction ability of the suggested methods.

Keywords: Salbutamol; Bromhexine; PCR; CLS; ANN; GA-ANN.


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