The aim of this study is optimization of experimental factors in a UV-visible spectrophotometric method for
simultaneous determination of dorzolamide hydrochloride and timolol maleate in eye drops. For this purpose, partial least
squares-1 method was developed for resolving overlapped UV-visible spectra of these compounds. Principal component
number, wavelength range (number of wavelengths) and data preprocessing applications were investigated as experimental
factors. The affected experimental response in this method is PRESS (Prediction Error Sum of Squares) values. Response
Surface Methodology (RSM) method was used for interpretation of relationships between these factors and PRESS
values, and results were shown as equations and contour graphs. Multivariate calibration techniques which were used in
the method development have some advantages such as using whole spectrum for the simultaneous analysis of the mixture
component that allow to minimize the effects of noise peak, shorter analysis time, low cost and simple instrumentation
without any chemical pre-treatment. This optimized method was validated and applied to a pharmaceutical preparation,
eye drops, and results were compared with a literature method statistically and no significant difference was observed.
Keywords: Multivariate optimization, PLS-1, validation, pharmaceutical preparation, dorzolamide hydrochloride, timolol
maleate, eye drops.
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