Water pollution is a major issue of this era and the development of new sensors and biosensors for specific detection of contaminants of emerging concern (CEC) is of growing interest. Researchers have taken advantage of different recognition systems such as antibodies or enzymes that can be very specific and sensitive toward their target1. However, those biological molecules tend to be expensive, tedious to obtain in large amount, unstable in changing environments and have a short shelf life. To overcome these issues, synthetic analogues named molecularly imprinted polymers (MIPs) have been used as recognition elements. MIPs are polymers with imprinted nanopores that are able to rebind specifically the chosen target. They have the advantage of being cheaper to prepare in large quantities and display a higher robustness, inertness and resistance than their biological counterpart 2. The library of functional monomers used by researchers to prepare MIPs is quite narrow 3 and their recognition in water can be limited 4. That is why we believe it is interesting to design new functional monomers based on amino acids. Indeed, amino acids are good candidates for recognition agent, as they display a variety of functions that can interact through hydrogen bonds, hydrophobic interaction, Π-Π stacking or cation-Π stacking. As a part of antibodies and enzymes, they are capable of recognition in aqueous environment. We believe that using amino acids could get MIP technology closer to biological selectivity and sensitivity, while keeping it cheap and robust. The preparation of a MIP consists in the polymerization of a functional monomer made from an amino acid and a polymerizable agent in the presence of a template (the target of the recognition system).Integrating the MIP in an electrochemical sensor should provide selective detection of the target.