Photoelectrochemical-assisted Batch Injection Analysis (PEC-BIA) of Glucose Exploiting Visible LED Light as an Excitation Source

This work describes the development of a novel method for glucose determination exploiting a photoelectrochemical-assisted batch injection analysis cell designed and constructed with the aid of 3D printer technology. The PEC-BIA cell was coupled to a LED lamp in order to control the incidence of light on the Cu2O/Ni(OH)(2)/FTO photoelectroactive platform. The electrochemical characteristics of Cu2O/Ni(OH)(2)/FTO photoelectroactive platform were evaluated by cyclic voltammetry, amperometry, and electrochemical impedance spectroscopy. The PEC-BIA cell presented linear response range, limit of detection based on a signal-to-noise ratio of three, and sensitivity of 1-1000 mu mol L-1, 0.76 mu mol L(-1)and 0.578 mu A L mu mol(-1), respectively. The PEC-BIA method presented a mean value of the recovery values of 97.0 % to 102.0 % when it was applied to glucose determination in artificial blood plasma samples which indicates the promising performance of the proposed system to determine glucose.