Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

Metal oxide nanoparticle-decorated few layer graphene nanoflake chemoresistors for the detection of aromatic volatile organic compounds

  • Datos identificativos

    Identificador:  imarina:6494642
    Autores:  Behi, S; Bohli, N; Casanova-Cháfer, J; Llobet, E; Abdelghani, A
    Resumen:
    © 2020 by the authors. Licensee MDPI, Basel, Switzerland. Benzene, toluene, and xylene, commonly known as BTX, are hazardous aromatic organic vapors with high toxicity towards living organisms. Many techniques are being developed to provide the community with portable, cost effective, and high performance BTX sensing devices in order to effectively monitor the quality of air. In this paper, we study the effect of decorating graphene with tin oxide (SnO2) or tungsten oxide (WO3) nanoparticles on its performance as a chemoresistive material for detecting BTX vapors. Transmission electron microscopy and environmental scanning electron microscopy are used as morphological characterization techniques. SnO2-decorated graphene displayed high sensitivity towards benzene, toluene, and xylene with the lowest tested concentrations of 2 ppm, 1.5 ppm, and 0.2 ppm, respectively. In addition, we found that, by employing these nanomaterials, the observed response could provide a unique double signal confirmation to identify the presence of benzene vapors for monitoring occupational exposure in the textiles, painting, and adhesives industries or in fuel stations.
  • Otros:

    Enlace a la fuente original: https://www.mdpi.com/1424-8220/20/12/3413
    Referencia de l'ítem segons les normes APA: Behi, S; Bohli, N; Casanova-Cháfer, J; Llobet, E; Abdelghani, A (2020). Metal oxide nanoparticle-decorated few layer graphene nanoflake chemoresistors for the detection of aromatic volatile organic compounds. Sensors, 20(12), 1-15. DOI: 10.3390/s20123413
    Referencia al articulo segun fuente origial: Sensors. 20 (12): 1-15
    DOI del artículo: 10.3390/s20123413
    Año de publicación de la revista: 2020-06-02
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-05-09
    Autor/es de la URV: Casanova Chafer, Juan / Llobet Valero, Eduard
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    ISSN: 1424-8220
    Autor según el artículo: Behi, S; Bohli, N; Casanova-Cháfer, J; Llobet, E; Abdelghani, A
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Volumen de revista: 20
    Áreas temáticas: Medicine (miscellaneous), Instruments & instrumentation, Instrumentation, Information systems, Engineering, electrical & electronic, Engenharias iv, Electrochemistry, Electrical and electronic engineering, Ciência da computação, Chemistry, analytical, Biochemistry, Atomic and molecular physics, and optics, Analytical chemistry, Administração pública e de empresas, ciências contábeis e turismo
    Direcció de correo del autor: juan.casanova@urv.cat, eduard.llobet@urv.cat, eduard.llobet@urv.cat
  • Palabras clave:

    Work function
    Wo3/graphene nanocomposite
    Tungsten oxide
    Tin oxide
    Sno2 nanoparticles
    Sensor array
    Sensor
    Sensitivity
    Room-temperature
    Metal oxide nanoparticles
    Graphene
    Gas-sensing properties
    Film
    Carbon nanotubes
    Btx
    Assisted hydrothermal method
    Aromatic voc
    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)
    Engenharias iv
    Ciência da computação
    Administração pública e de empresas
    ciências contábeis e turismo
  • Documentos:

  • Cerca a google

    Search to google scholar