Autor según el artículo: El Barbri, Noureddine; Duran, Cristhian; Brezmes, Jesus; Canellas, Nicolau; Ramirez, Jose Luis; Bouchikhi, Benachir; Llobet, Eduard
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
e-ISSN: 1424-8220
Autor/es de la URV: Brezmes Llecha, Jesús Jorge / Cañellas Alberich, Nicolau / Llobet Valero, Eduard / Ramírez Falo, José Luis
Palabras clave: Wavelet transform Support vector machine Metal oxide gas sensor Flow modulation support vector machine metal oxide gas sensor flow modulation
Resumen: In this paper, the use of a new technique to obtain transient sensor information is introduced and its usefulness to improve the selectivity of metal oxide gas sensors is discussed. The method is based on modulating the flow of the carrier gas that brings the species to be measured into the sensor chamber. In such a way, the analytes' concentration at the surface of the sensors is altered. As a result, reproducible patterns in the sensor response develop, which carry important information for helping the sensor system, not only to discriminate among the volatiles considered but also to semi-quantify them. This has been proved by extracting features from sensor dynamics using the discrete wavelet transform (DWT) and by building and validating support vector machine (SVM) classification models. The good results obtained (100% correct identification among 5 volatile compounds and nearly a 89% correct simultaneous identification and quantification of these volatiles), which clearly outperform those obtained when the steady-state response is used, prove the concept behind flow modulation. © 2008 by the authors.
Áreas temáticas: Zootecnia / recursos pesqueiros Química Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinar Instruments & instrumentation Instrumentation Information systems Geografía Geociências Farmacia Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrochemistry Electrical and electronic engineering Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Biodiversidade Biochemistry Atomic and molecular physics, and optics Astronomia / física Arquitetura, urbanismo e design Analytical chemistry
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: eduard.llobet@urv.cat jesus.brezmes@urv.cat joseluis.ramirez@urv.cat nicolau.canyellas@urv.cat
Identificador del autor: 0000-0001-6164-4342 0000-0002-7704-8550 0000-0001-8231-4019 0000-0003-4856-8132
Página final: 7379
Fecha de alta del registro: 2024-10-12
Volumen de revista: 8
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/1424-8220/8/11/7369
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Sensors. 8 (11): 7369-7379
Referencia de l'ítem segons les normes APA: El Barbri, Noureddine; Duran, Cristhian; Brezmes, Jesus; Canellas, Nicolau; Ramirez, Jose Luis; Bouchikhi, Benachir; Llobet, Eduard (2008). Selectivity enhancement in multisensor systems using flow modulation techniques. Sensors, 8(11), 7369-7379. DOI: 10.3390/s8117369
DOI del artículo: 10.3390/s8117369
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2008
Página inicial: 7369
Tipo de publicación: Journal Publications