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  • Source: Environmental Technology. Unidades: EP, IQ

    Subjects: HERBICIDAS, DEGRADAÇÃO AMBIENTAL, FENÓIS, FOTOQUÍMICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      LUNA, Airton José de et al. Photo-Fenton degradation of phenol, 2,4-dichlorophenoxyacetic acid and 2,4-dichlorophenol mixture in saline solution using a falling-film solar reactor. Environmental Technology, v. 35, n. 3, p. 364-371, 2014Tradução . . Disponível em: https://doi.org/10.1080/09593330.2013.828762. Acesso em: 06 nov. 2024.
    • APA

      Luna, A. J. de, Nascimento, C. A. O. do, Foletto, E. L., Moraes, J. E. F. de, & Chiavone Filho, O. (2014). Photo-Fenton degradation of phenol, 2,4-dichlorophenoxyacetic acid and 2,4-dichlorophenol mixture in saline solution using a falling-film solar reactor. Environmental Technology, 35( 3), 364-371. doi:10.1080/09593330.2013.828762
    • NLM

      Luna AJ de, Nascimento CAO do, Foletto EL, Moraes JEF de, Chiavone Filho O. Photo-Fenton degradation of phenol, 2,4-dichlorophenoxyacetic acid and 2,4-dichlorophenol mixture in saline solution using a falling-film solar reactor [Internet]. Environmental Technology. 2014 ; 35( 3): 364-371.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/09593330.2013.828762
    • Vancouver

      Luna AJ de, Nascimento CAO do, Foletto EL, Moraes JEF de, Chiavone Filho O. Photo-Fenton degradation of phenol, 2,4-dichlorophenoxyacetic acid and 2,4-dichlorophenol mixture in saline solution using a falling-film solar reactor [Internet]. Environmental Technology. 2014 ; 35( 3): 364-371.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/09593330.2013.828762
  • Source: Water Science and Technology. Unidades: IQ, EP

    Subjects: REDES NEURAIS, FOTOQUÍMICA, FENÓIS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MOTA, André Luis Novais et al. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, v. 69, n. 4, p. 768–774, 2014Tradução . . Disponível em: https://doi.org/10.2166/wst.2013.731. Acesso em: 06 nov. 2024.
    • APA

      Mota, A. L. N., Chiavone Filho, O., Silva, S. S. da, Foletto, E. L., Moraes, J. E. F. de, & Nascimento, C. A. O. do. (2014). Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, 69( 4), 768–774. doi:10.2166/wst.2013.731
    • NLM

      Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 nov. 06 ] Available from: https://doi.org/10.2166/wst.2013.731
    • Vancouver

      Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 nov. 06 ] Available from: https://doi.org/10.2166/wst.2013.731

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