Inkjet-printed poly(N-isopropylacrylamide)/graphene electrodes for selective electroanalytical sensing

The main research topic of the present master thesis consisted in the modification and electrochemical testing of inkjet printed graphene electrodes with a thin polymeric hydrogel layer made of cross-linked poly(N-isopropylacrylamide) (PNIPAAM) acting as a functional layer to fabricate selective sensors. The first experimental activities dealt with the synthesis of the polymeric hydrogel and the modification of the active surface of graphene sensors through photopolymerization. Simultaneous inkjet printing and photopolymerization of the hydrogel precursor inks onto graphene demonstrated to be the most effective and reproducible technique for the modification of the electrode with PNIPAAM. The electrochemical performance of the modified electrodes was tested through cyclic voltammetry. Voltammograms with standard redox couples with either positive, neutral or negative charges, suggested an electrostatic filtering effect by the hydrogel blocking negatively charged redox species in near neutral pH electrolyte solutions from reaching the electrode surface. PNIPAAM is a known thermo-responsive polymer, but the variation of temperature did not influence the filtering properties of the hydrogels for the redox couples studied. However, a variation of the filter capacity of the material was observed at pH 2 in which the PNIPAAM hydrogel, most likely in protonated form, became impermeable to positively charged redox species and permeable to negatively charged species. Finally, the filtering capacity of the electrodes modified with PNIPAAM was evaluated for the electrochemical determination of analytes in presence of negatively charge potential interferents, such as antioxidants like ascorbic acid. The outcome of the final experiments suggested the possibility to use the inkjet-printed PNIPAAM thin layer for electroanalytical applications as an electrostatic filter against interferents of opposite charges, typically present in complex matrices, such as food and beverages.