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dc.contributor.advisorStarbird-Pérez, Ricardoes
dc.contributor.authorMontero-Rodríguez, Juan José
dc.date.accessioned2017-06-01T20:42:52Z
dc.date.available2017-06-01T20:42:52Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/2238/7134
dc.descriptionProyecto de Graduación (Maestría en Ingeniería en Electrónica) Instituto Tecnológico de Costa Rica, Escuela de Electrónica, 2013.es
dc.description.abstractThe design and fabrication of implantable neural electrodes is a challenge, because the materials and interfaces must provide low impedance to the tissues, with high current injection capabilities. In the Institute of Optical and Electronic Materials, researchers have found a way to structure thin layers of conductive polymers on top of gold electrodes, improving the interface between metal and tissues. This thesis deals with the electrical characterization of metallic electrodes coated with thin layers of PEDOT:PSS. A set of 96 individual electrodes with different surface area and polymer thickness was measured by electrochemical impedance spectroscopy. The goal of the present thesis is to develop an equivalent model for the metal/polymer/tissue interface, and fit the experimental data to this model to explore the different capacitances and resistances of the interface. A total of six models were obtained from literature, and they were implemented to fit the data using standard commercial tools such as MEISP from Kuhmo Petrochemical, or LEVMW from J.R. Macdonald. The main conclusion is that the polymer/solution capacitance, also called the double-layer capacitance, increases linearly with the thickness of the polymeric layer, and it is higher than the metal/polymer capacitance.es
dc.description.sponsorshipUniversidad Técnica de Hamburgoes
dc.language.isospaes
dc.publisherInstituto Tecnológico de Costa Ricaes
dc.subjectElectrodoses
dc.subjectModelado matemáticoes
dc.subjectPolímeroses
dc.subjectResistenciaes
dc.subjectInterfazes
dc.titleEquivalent circuit modeling for electrochemical impedance spectroscopyes
dc.typeinfo:eu-repo/semantics/masterThesises


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