SENSOR ARRAY FOR CARBOHYDRATES AND AMINO-ACIDS BASED ON ELECTROCATALYTIC MODIFIED ELECTRODES

The operation and advantages of a four-element chemical sensor array, comprising carbon paste electrodes doped with different metal oxide catalysts, are described. The Cu2O-, RuO2-, NiO, and CoO-modified surfaces exhibit distinctly different catalytic properties toward carbohydrates or amino acids. By coupling the unique sensor array patterns with various statistical regression techniques, it is possible to determine individual carbohydrates or amino acids in different sample mixtures. For two- and three-component mixtures, the partial lead squares (PLS) calibration method yields an average relative prediction error of 2.3%. Such multicomponent quantitation is accomplished in amperometric flow injection experiments. The response is highly stable and linear, as desired by the mathematical models.