Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Selectivity enhancement in multisensor systems using flow modulation techniques

  • Identification data

    Identifier: imarina:5125133
    Authors:
    El Barbri, NoureddineDuran, CristhianBrezmes, JesusCanellas, NicolauRamirez, Jose LuisBouchikhi, BenachirLlobet, Eduard
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: El Barbri, Noureddine; Duran, Cristhian; Brezmes, Jesus; Canellas, Nicolau; Ramirez, Jose Luis; Bouchikhi, Benachir; Llobet, Eduard
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    e-ISSN: 1424-8220
    URV's Author/s: Brezmes Llecha, Jesús Jorge / Cañellas Alberich, Nicolau / Llobet Valero, Eduard / Ramírez Falo, José Luis
    Keywords: Wavelet transform Support vector machine Metal oxide gas sensor Flow modulation support vector machine metal oxide gas sensor flow modulation
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: eduard.llobet@urv.cat jesus.brezmes@urv.cat joseluis.ramirez@urv.cat nicolau.canyellas@urv.cat
    Author identifier: 0000-0001-6164-4342 0000-0002-7704-8550 0000-0001-8231-4019 0000-0003-4856-8132
    Last page: 7379
    Record's date: 2024-10-12
    Journal volume: 8
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/1424-8220/8/11/7369
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Sensors. 8 (11): 7369-7379
    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
    Article's DOI: 10.3390/s8117369
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2008
    First page: 7369
    Publication Type: Journal Publications
  • Keywords:

    Analytical Chemistry,Atomic and Molecular Physics, and Optics,Biochemistry,Chemistry, Analytical,Electrical and Electronic Engineering,Electrochemistry,Engineering, Electrical & Electronic,Information Systems,Instrumentation,Instruments & Instrumentation,Medicine (Miscellaneous)
    Wavelet transform
    Support vector machine
    Metal oxide gas sensor
    Flow modulation
    support vector machine
    metal oxide gas sensor
    flow modulation
    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
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