Abstract
Chemometric techniques have been applied to optimization of response in photochemical reaction detection. Multivariate optimization using a factorial experimental design was employed to assess the effects of mobile phase pH and UV irradiation time on the amperometric response obtained by high-performance liquid chromatography—photolysis—electrochemical detection for four cardiovascular drugs. The procedure is more representative of the dynamic analytical conditions encountered in photochemical reaction detection than previous methods employing univariate optimization or off-line static methods. Stepwise multiple linear regression with backward elimination was used to fit the experimental data to empirical reduced third-order polynomial models. Plots of response were used to determine optimum conditions and visualize the interactions between pH and irradiation time. The design and construction of a low-cost on-line photochemical reactor for high-performance liquid chromatography is also discussed.
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