Electrochemical lossy mode resonance for the detection of manganese ions
Fecha
2023Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
Impacto
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10.1016/j.snb.2023.134446
Resumen
In this work we propose electrochemical lossy mode resonance (eLMR) as a powerful method for the detection of manganese (Mn) ions. The sensor is based on a simple planar waveguide (sodasingle bondlime glass coverslip) coated with a thin layer of indium tin oxide (ITO) to obtain an optical resonance effect. Simultaneously, the ITO layer served as the working electrode in the cathodic stripping vol ...
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In this work we propose electrochemical lossy mode resonance (eLMR) as a powerful method for the detection of manganese (Mn) ions. The sensor is based on a simple planar waveguide (sodasingle bondlime glass coverslip) coated with a thin layer of indium tin oxide (ITO) to obtain an optical resonance effect. Simultaneously, the ITO layer served as the working electrode in the cathodic stripping voltammetry (CSV) of Mn. The eLMR sensor is capable of simultaneously performing electrochemical (EC) and optical measurements, specifically lossy mode resonance (LMR), to monitor the growth of the adsorbed Mn layer on the ITO electrode and the electrochemically modulated diffusion layer. For Mn2+ ions, a limit of detection (LoD) of 1.26 ppb has been demonstrated using the EC method, whereas the optical method exhibited a LoD of 67.76 ppb. The results obtained indicate significant potential for application in molecular electrochemistry and studies focused on electrified interfaces. [--]
Materias
Optical sensing,
Electrochemical sensing,
Heavy metal ions detection,
Thin-film,
Indium tin oxide,
Lossy mode resonance,
Stripping voltammetry
Editor
Elsevier
Publicado en
Sensors And Actuators B: Chemical 394 (2023) 134446
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work was supported in part by the Agencia Estatal de Investigación (AEI) from the Spanish Ministry of Economy and Competitiveness
(PID2019-106070RB-I00 and PID2022-137437OB-I00 research
funds), by the Government of Navarre through its projects with references:
and PC058-059 EleSpray and 0011-1365-2022-000241, and by
the pre-doctoral research grant of the Public University of Navarra. The
authors also acknowledge financial support received from the National
Centre for Research and Development, Poland, grant No. TECHMATSTRATEG-
III/0042/2019, as well as the Czech Science Foundation
Agency through the project 21-05030K and the National Science Centre
(NCN), Poland, as part of the 2020/02/Y/ST8/00030 project. Open
access funding provided by Universidad Pública de Navarra.