Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Gas sensing properties of graphene oxide loaded with SrTiO3 nanoparticles

  • Identification data

    Identifier: imarina:9291520
    Authors:
    Kacem, KhaoulaCasanova-Chafer, JuanAmeur, SamiNsib, Mohamed FaouziLlobet, Eduard
    Abstract:
    This paper reports a straightforward and inexpensive method for the fabrication of gas sensing devices based on graphene oxide (GO) synthesized by a modified Hummer's method and decorated with strontium titanate perovskite (SrTiO3). The active layers developed were employed for the detection of hazardous gases such as NO2, CO2, and NH3. The physical and chemical properties were also analyzed using various experimental techniques including field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray powder diffraction (XRD), and Raman spectroscopy. Repeated response and recovery cycles were applied in the detection of nitrogen dioxide (NO2), carbon dioxide (CO2), and ammonia (NH3). Accordingly, the gas sensing study reveals that decorated GO exhibits a high response towards NO2 at an operating temperature of 100 °C with good sensitivity (up to 4-fold higher than that of pristine GO) and highly improved selectivity. Additionally, the effect of ambient humidity was tested for NO2, demonstrating that GO/SrTiO3 sensors show a good immunity to humidity cross-sensitivity. Lastly, a gas sensing mechanism was schematically proposed and discussed. These findings prove that the functionalization of GO with SrTiO3 can overcome the limitations of GO-based sensors by enhancing their adsorption capability of gas molecules and their sensitivity towards target gases.
  • Others:

    Author, as appears in the article.: Kacem, Khaoula; Casanova-Chafer, Juan; Ameur, Sami; Nsib, Mohamed Faouzi; Llobet, Eduard
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Casanova Chafer, Juan / Llobet Valero, Eduard
    Keywords: Srtio perovskite 3 No 2 Nh 3 Graphene oxide Gas sensor Co 2
    Abstract: This paper reports a straightforward and inexpensive method for the fabrication of gas sensing devices based on graphene oxide (GO) synthesized by a modified Hummer's method and decorated with strontium titanate perovskite (SrTiO3). The active layers developed were employed for the detection of hazardous gases such as NO2, CO2, and NH3. The physical and chemical properties were also analyzed using various experimental techniques including field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray powder diffraction (XRD), and Raman spectroscopy. Repeated response and recovery cycles were applied in the detection of nitrogen dioxide (NO2), carbon dioxide (CO2), and ammonia (NH3). Accordingly, the gas sensing study reveals that decorated GO exhibits a high response towards NO2 at an operating temperature of 100 °C with good sensitivity (up to 4-fold higher than that of pristine GO) and highly improved selectivity. Additionally, the effect of ambient humidity was tested for NO2, demonstrating that GO/SrTiO3 sensors show a good immunity to humidity cross-sensitivity. Lastly, a gas sensing mechanism was schematically proposed and discussed. These findings prove that the functionalization of GO with SrTiO3 can overcome the limitations of GO-based sensors by enhancing their adsorption capability of gas molecules and their sensitivity towards target gases.
    Thematic Areas: Química Planejamento urbano e regional / demografia Odontología Metals and alloys Metallurgy & metallurgical engineering Mechanics of materials Mechanical engineering Materials science, multidisciplinary Materials science Materials chemistry Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Ciências biológicas i Ciências ambientais Ciências agrárias i Chemistry, physical Biotecnología Astronomia / física Antropologia / arqueologia Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: juan.casanova@urv.cat eduard.llobet@urv.cat
    Author identifier: 0000-0001-6164-4342
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0925838823003146
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Alloys And Compounds. 941 169011-
    APA: Kacem, Khaoula; Casanova-Chafer, Juan; Ameur, Sami; Nsib, Mohamed Faouzi; Llobet, Eduard (2023). Gas sensing properties of graphene oxide loaded with SrTiO3 nanoparticles. Journal Of Alloys And Compounds, 941(), 169011-. DOI: 10.1016/j.jallcom.2023.169011
    Article's DOI: 10.1016/j.jallcom.2023.169011
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Chemistry, Physical,Materials Chemistry,Materials Science,Materials Science, Multidisciplinary,Mechanical Engineering,Mechanics of Materials,Metallurgy & Metallurgical Engineering,Metals and Alloys
    Srtio perovskite 3
    No 2
    Nh 3
    Graphene oxide
    Gas sensor
    Co 2
    Química
    Planejamento urbano e regional / demografia
    Odontología
    Metals and alloys
    Metallurgy & metallurgical engineering
    Mechanics of materials
    Mechanical engineering
    Materials science, multidisciplinary
    Materials science
    Materials chemistry
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    Farmacia
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Chemistry, physical
    Biotecnología
    Astronomia / física
    Antropologia / arqueologia
    Administração pública e de empresas, ciências contábeis e turismo
  • Documents:

  • Cerca a google

    Search to google scholar