Fabrication of Molecularly Imprinted Electrochemical Sensors for Food Additives
Molecularly imprinted polymers (MIPs) have emerged as a promising technique for the newlinepreparation of synthetic polymers with specific binding sites for target molecules. These polymers have found applications in various fields, including sensing, where they serve as a recognition element for the detection and quantification of analytes in chemical and biological environments. In recent years, MIPs have been utilized as sensing materials for biomolecules, food additives, pesticides, metal ions, and other target species. This work presents the development of MIP-based electrochemical sensors for the selective and rapid detection of food additives, namely tartrazine, 4-hexylresorcinol, butylated hydroxy anisole, and brilliant blue FCF. Conducting polymers, metal nanoparticles and 2D material-based electrode modifications have been employed in newlinethe preparation of MIPs for electrochemical sensing applications. Investigations reveal newlinea significant enhancement in the electrochemical oxidation/reduction current of the analytes upon the surface modifications applied to the Carbon Fibre Paper (CFP) substrate. The surface morphology of the modified electrodes was characterized using techniques such as Field Emission Scanning Electron Microscopy (FESEM), Electron Diffraction X-ray (EDX), X-Ray Photoelectron Spectroscopy (XPS), Optical newlineProfilometry, and Fourier Transform Infrared Spectroscopy (FTIR). Nyquist plots newlinedemonstrated the lowest charge transfer resistance at the finally modified working newlineelectrodes compared to other control electrodes. Optimization of experimental newlineconditions, including pH effects, investigation of reaction mechanisms through scan rate variations, determination of the number of cycles required for film newlineelectrodeposition to achieve maximum current response, and determination of the potential window, was carried out using cyclic voltammetry (CV). The quantification newlineof analytes was performed using Differential Pulse Voltammetry (DPV).