Use of multivariate statistical techniques to optimize the simultaneous separation of 13 phenolic compounds from extra-virgin olive oil by capillary electrophoresis

Abstract

Characterization of phenolic compounds in olive oil has not been achieved as yet, owing to the complexities of their chemical structures and analytical matrix. The aim of this work is to optimize and validate a method for simultaneous separation and quantification of 13 phenolic compounds from extra-virgin olive oil: tyrosol, hydroxytyrosol, oleuropein glycoside, ferrulic acid, p-coumaric acid, cinnamic acid, p-hydroxybenzoic acid, gallic acid, caffeic acid, luteolin, apigenin, vanillic acid and 3,4-dihydroxybenzoic acid. A statistical central composite design, response surface analysis and the simultaneous optimization method of Derringer and Suich were used to separate all the peaks. These multivariate procedures were efficient in determining the optimal separation condition, using five peak-pair resolutions and runtime as responses. The optimized method employed a fused-silica capillary of 50μm i.d.×60cm effective length with extended light path, 50mmolL−1 boric acid electrolyte, 10.2 pH, 25°C, injection of 50mbar for 25s with application of reverse voltage (−30kV for 5s) before setting the running voltage (+30kV) with detection at 210nm and a run time of 12min. Peak resolutions are found to be very sensitive to pH values outside the 10.15–10.25 range but acceptable electropherograms can be obtained for a wide range of boric acid concentrations within this pH interval.