MULTIDATA TREATMENT APPLIED TO THE SIMULTANEOUS RESOLUTION OF CATECHOL RESORCINOL MIXTURES BY KINETIC ENZYMATIC PROCESSES

This paper reports a multicomponent least-squares regression method ba sed on the use of multiple standards for the simultaneous resolution o f substrates involved in kinetic enzymatic processes. The proposed met hod was applied to the determination of catechol-resorcinol mixtures b y oxidation with hydrogen peroxide in the presence of the enzyme perox idase (EC 1.11.1.7) in a stopped-flow reversed flow injection system. The mathematical algorithm used is superior to other alternatives as i t is not affected by side reactions between the oxidation products. Th e proposed method allows the simultaneous resolution of 50-150muM cate chol and 30-180muM resorcinol over the wavelength range 340-500 nm. Th e concentration ranges can be modified by varying the injected amount of enzyme. The mathematical treatment is applied to the spectra of sev eral standards and those of the samples, which are recorded 6 sec afte r the flow is stopped. This redounds to a high sampling frequency (up to 60/hr).