2026-04-22T20:18:58Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/100242025-01-24T01:05:17Zcom_10259_7463com_10259_5086com_10259_2604col_10259_7464

Molecularly imprinted polypyrrole based electrochemical sensor for selective determination of ethanethiol Alonso Lomillo, Mª Asunción Domínguez Renedo, Olga Ethanethiol Molecularly imprinted polymer Polypyrrole Gold nanoparticles Electrochemical sensor Wine Química Química física Salud Alimentos Chemistry Chemistry, Physical and theoretical Health Food This work describes a molecularly imprinted (MIP) sensor, based on the electropolymerization of pyrrole on a glassy carbon electrode (GCE), for the determination of ethanethiol. Ethanethiol was used as a template molecule for the formation of cavities in the imprinted polymer. The effect of molar ratios template molecules/functional monomers and time needed to remove the template were optimized. The developed MIP/GCE sensor presented a linear range from 6.1 to 32.4 mg L−1 with capability detection and reproducibility values of 7.2 mg L−1 and 10.4%, respectively. The sensitivity of the developed sensor was enhanced by the incorporation of gold nanoparticles (AuNPs). The AuNPs/MIP/GCE showed a capability of detection and reproducibility values of 0.4 mg L−1 and 4.1%, respectively (calibration range from 0.3 to 3.1 mg L−1). The sensor was successfully applied to the determination of ethanethiol in spiked wine samples with recoveries ranging from 99% to 107%. Authors would like to acknowledge funding obtained by Junta de Castilla y León (BU018G19) and Agencia Estatal de Investigación (PID2020-117095RB-I00). 2025-01-23T13:24:13Z 2025-01-23T13:24:13Z 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 0039-9140 http://hdl.handle.net/10259/10024 10.1016/j.talanta.2022.123936 eng Talanta. 2023, V. 253, 123936 https://doi.org/10.1016/j.talanta.2022.123936 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess application/pdf Elsevier