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  • Source: Energy Fuels. Unidade: IQSC

    Subjects: CATÁLISE, REATORES QUÍMICOS

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    • ABNT

      LINO, Ananda Vallezi Paladino e ASSAF, Elisabete Moreira e ASSAF, Jose Mansur. Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition. Energy Fuels, v. no2020, n. 12, p. 16522–16531, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.0c02895. Acesso em: 02 jun. 2024.
    • APA

      Lino, A. V. P., Assaf, E. M., & Assaf, J. M. (2020). Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition. Energy Fuels, no2020( 12), 16522–16531. doi:10.1021/acs.energyfuels.0c02895
    • NLM

      Lino AVP, Assaf EM, Assaf JM. Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition [Internet]. Energy Fuels. 2020 ; no2020( 12): 16522–16531.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.0c02895
    • Vancouver

      Lino AVP, Assaf EM, Assaf JM. Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition [Internet]. Energy Fuels. 2020 ; no2020( 12): 16522–16531.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.0c02895
  • Source: Energy Fuels. Unidade: IQSC

    Subjects: CÉLULAS A COMBUSTÍVEL, TEMPERATURA

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    • ABNT

      NOGUEIRA, Jéssica Alves e VARELA, Hamilton. Direct Liquid Fuel Cells—The Influence of Temperature and Dynamic Instabilities. Energy Fuels, v. 34, p. 2995–13009, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.0c02491. Acesso em: 02 jun. 2024.
    • APA

      Nogueira, J. A., & Varela, H. (2020). Direct Liquid Fuel Cells—The Influence of Temperature and Dynamic Instabilities. Energy Fuels, 34, 2995–13009. doi:10.1021/acs.energyfuels.0c02491
    • NLM

      Nogueira JA, Varela H. Direct Liquid Fuel Cells—The Influence of Temperature and Dynamic Instabilities [Internet]. Energy Fuels. 2020 ; 34 2995–13009.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.0c02491
    • Vancouver

      Nogueira JA, Varela H. Direct Liquid Fuel Cells—The Influence of Temperature and Dynamic Instabilities [Internet]. Energy Fuels. 2020 ; 34 2995–13009.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.0c02491
  • Source: Energy Fuels. Unidade: IQ

    Subjects: SOLVENTE, SOLVATAÇÃO

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    • ABNT

      NOVAKI, Luzia Peres et al. Dissolution of asphaltene in binary mixtures of organic solvents and model maltenes: unambiguous evidence for asphaltene preferential solvation and relevance to assessing the efficiency of additives for esphaltene stabilization. Energy Fuels, v. 33, p. 58-67, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.8b02892. Acesso em: 02 jun. 2024.
    • APA

      Novaki, L. P., Keppeler, N., Kwon, M. M. N., Paulucci, L. T., Oliveira, M. C. K. de, Meireles, F. A., et al. (2019). Dissolution of asphaltene in binary mixtures of organic solvents and model maltenes: unambiguous evidence for asphaltene preferential solvation and relevance to assessing the efficiency of additives for esphaltene stabilization. Energy Fuels, 33, 58-67. doi:10.1021/acs.energyfuels.8b02892
    • NLM

      Novaki LP, Keppeler N, Kwon MMN, Paulucci LT, Oliveira MCK de, Meireles FA, Baader WJ, El Seoud OA. Dissolution of asphaltene in binary mixtures of organic solvents and model maltenes: unambiguous evidence for asphaltene preferential solvation and relevance to assessing the efficiency of additives for esphaltene stabilization [Internet]. Energy Fuels. 2019 ; 33 58-67.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.8b02892
    • Vancouver

      Novaki LP, Keppeler N, Kwon MMN, Paulucci LT, Oliveira MCK de, Meireles FA, Baader WJ, El Seoud OA. Dissolution of asphaltene in binary mixtures of organic solvents and model maltenes: unambiguous evidence for asphaltene preferential solvation and relevance to assessing the efficiency of additives for esphaltene stabilization [Internet]. Energy Fuels. 2019 ; 33 58-67.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.8b02892
  • Source: Energy Fuels. Unidades: EEL, ESALQ

    Subjects: BIODIESEL, COMPOSTOS ORGÂNICOS, LIPÍDEOS, MODELOS PARA PROCESSOS ESTOCÁSTICOS, TECNOLOGIA DE ÓLEOS, GORDURAS E GRAXAS

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    • ABNT

      SIQUEIRA, Adriano Francisco et al. Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model. Energy Fuels, v. 33, n. 4, p. 3321-3326, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.8b04230. Acesso em: 02 jun. 2024.
    • APA

      Siqueira, A. F., Vidigal, I. G., Melo, M. P. de, Giordani, D. S., Batista, P. S., & Ferreira, A. L. G. (2019). Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model. Energy Fuels, 33( 4), 3321-3326. doi:10.1021/acs.energyfuels.8b04230
    • NLM

      Siqueira AF, Vidigal IG, Melo MP de, Giordani DS, Batista PS, Ferreira ALG. Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model [Internet]. Energy Fuels. 2019 ;33( 4): 3321-3326.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.8b04230
    • Vancouver

      Siqueira AF, Vidigal IG, Melo MP de, Giordani DS, Batista PS, Ferreira ALG. Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model [Internet]. Energy Fuels. 2019 ;33( 4): 3321-3326.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.8b04230
  • Source: Energy Fuels. Unidade: IQ

    Subjects: SOLVATAÇÃO, SOLVENTE, SOLUBILIDADE

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    • ABNT

      NOVAKI, Luzia Peres et al. Successful approach to mimic the solvent power of maltenes based on SARA analysis, solvatochromic and solubility parameters. Energy Fuels, v. 32, n. 3, p. 3281-3289, 2018Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.7b04064. Acesso em: 02 jun. 2024.
    • APA

      Novaki, L. P., Lira, R., Kwon, M. M. N., Oliveira, M. C. K. de, Meireles, F. A., Gonzalez, G., & El Seoud, O. A. (2018). Successful approach to mimic the solvent power of maltenes based on SARA analysis, solvatochromic and solubility parameters. Energy Fuels, 32( 3), 3281-3289. doi:10.1021/acs.energyfuels.7b04064
    • NLM

      Novaki LP, Lira R, Kwon MMN, Oliveira MCK de, Meireles FA, Gonzalez G, El Seoud OA. Successful approach to mimic the solvent power of maltenes based on SARA analysis, solvatochromic and solubility parameters [Internet]. Energy Fuels. 2018 ; 32( 3): 3281-3289.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.7b04064
    • Vancouver

      Novaki LP, Lira R, Kwon MMN, Oliveira MCK de, Meireles FA, Gonzalez G, El Seoud OA. Successful approach to mimic the solvent power of maltenes based on SARA analysis, solvatochromic and solubility parameters [Internet]. Energy Fuels. 2018 ; 32( 3): 3281-3289.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/acs.energyfuels.7b04064
  • Source: Energy Fuels. Unidades: EP, IQ

    Assunto: PETRÓLEO (PROPRIEDADES FÍSICO-QUÍMICAS)

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    • ABNT

      PANTOJA, Patricia Araujo et al. Prediction of crude oil properties and chemical composition by means of steady-state and time-resolved fluorescence. Energy Fuels, v. 25, p. 3598-3604, 2011Tradução . . Disponível em: http://pubs.acs.org/doi/pdf/10.1021/ef200567x. Acesso em: 02 jun. 2024.
    • APA

      Pantoja, P. A., López-Gejo, J., Carrillo Le Roux, G. A., Quina, F. H., & Nascimento, C. A. O. do. (2011). Prediction of crude oil properties and chemical composition by means of steady-state and time-resolved fluorescence. Energy Fuels, 25, 3598-3604. doi:10.1021/ef200567x
    • NLM

      Pantoja PA, López-Gejo J, Carrillo Le Roux GA, Quina FH, Nascimento CAO do. Prediction of crude oil properties and chemical composition by means of steady-state and time-resolved fluorescence [Internet]. Energy Fuels. 2011 ; 25 3598-3604.[citado 2024 jun. 02 ] Available from: http://pubs.acs.org/doi/pdf/10.1021/ef200567x
    • Vancouver

      Pantoja PA, López-Gejo J, Carrillo Le Roux GA, Quina FH, Nascimento CAO do. Prediction of crude oil properties and chemical composition by means of steady-state and time-resolved fluorescence [Internet]. Energy Fuels. 2011 ; 25 3598-3604.[citado 2024 jun. 02 ] Available from: http://pubs.acs.org/doi/pdf/10.1021/ef200567x
  • Source: Energy Fuels. Unidade: IQ

    Subjects: FÍSICO-QUÍMICA, HIDROCARBONOS, COMPOSTOS ORGÂNICOS

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      CARROLL, Felix A e LIN, Chung-Yon e QUINA, Frank Herbert. Improved prediction of hydrocarbon flash points from boiling point data. Energy Fuels, v. 24, p. 4854-4856, 2010Tradução . . Disponível em: https://doi.org/10.1021/ef1005836. Acesso em: 02 jun. 2024.
    • APA

      Carroll, F. A., Lin, C. -Y., & Quina, F. H. (2010). Improved prediction of hydrocarbon flash points from boiling point data. Energy Fuels, 24, 4854-4856. doi:10.1021/ef1005836
    • NLM

      Carroll FA, Lin C-Y, Quina FH. Improved prediction of hydrocarbon flash points from boiling point data [Internet]. Energy Fuels. 2010 ; 24 4854-4856.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/ef1005836
    • Vancouver

      Carroll FA, Lin C-Y, Quina FH. Improved prediction of hydrocarbon flash points from boiling point data [Internet]. Energy Fuels. 2010 ; 24 4854-4856.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1021/ef1005836

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