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Artigo de periodico
Use of collagen and auricular cartilage in bioengineering: scaffolds for tissue regeneration (2024)
Massimino, Lívia Contini ; Martins, Virginia da Conceição Amaro ; Vulcani, Valcinir Aloísio Scalla; Oliveira, Éverton Lucas de; Andreeta, Mariane Barsi; Bonagamba, Tito José ; Klingbeil, Maria Fátima Guarizo; Mathor, Monica Beatriz ; Plepis, Ana Maria de Guzzi
Source: Cell and Tissue Banking. Unidades: IFSC, IQSC, Interunidades em Bioengenharia
Subjects: BIOPOLÍMEROS, ELASTINA
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ABNT
MASSIMINO, Lívia Contini et al. Use of collagen and auricular cartilage in bioengineering: scaffolds for tissue regeneration. Cell and Tissue Banking, v. 25, p. 111-122, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10561-020-09861-0. Acesso em: 12 dez. 2025.
APA
Massimino, L. C., Martins, V. da C. A., Vulcani, V. A. S., Oliveira, É. L. de, Andreeta, M. B., Bonagamba, T. J., et al. (2024). Use of collagen and auricular cartilage in bioengineering: scaffolds for tissue regeneration. Cell and Tissue Banking, 25, 111-122. doi:10.1007/s10561-020-09861-0
NLM
Massimino LC, Martins V da CA, Vulcani VAS, Oliveira ÉL de, Andreeta MB, Bonagamba TJ, Klingbeil MFG, Mathor MB, Plepis AM de G. Use of collagen and auricular cartilage in bioengineering: scaffolds for tissue regeneration [Internet]. Cell and Tissue Banking. 2024 ; 25 111-122.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1007/s10561-020-09861-0
Vancouver
Massimino LC, Martins V da CA, Vulcani VAS, Oliveira ÉL de, Andreeta MB, Bonagamba TJ, Klingbeil MFG, Mathor MB, Plepis AM de G. Use of collagen and auricular cartilage in bioengineering: scaffolds for tissue regeneration [Internet]. Cell and Tissue Banking. 2024 ; 25 111-122.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1007/s10561-020-09861-0
Artigo de periodico
Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization (2023)
Oliveira, Deborah S.B.L.; Colmati, Flavio; Gonzalez, Ernesto Rafael; Sousa Junior, Ruy de
Source: International Journal of Hydrogen Energy. Unidade: IQSC
Subjects: CATALISADORES, ETANOL
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ABNT
OLIVEIRA, Deborah S.B.L. et al. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, v. 48, n. 63, p. 24481-24491, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijhydene.2023.03.137. Acesso em: 12 dez. 2025.
APA
Oliveira, D. S. B. L., Colmati, F., Gonzalez, E. R., & Sousa Junior, R. de. (2023). Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, 48( 63), 24481-24491. doi:10.1016/j.ijhydene.2023.03.137
NLM
Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137
Vancouver
Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137
Artigo de periodico
Cooperative effect of Pt and Cu on CeO2 for the CO-PROX reaction under CO2eH2O feed stream (2023)
Cruz, Aline Rodrigues Miranda; Vieira, Luiz H. ; Assaf, Elisabete Moreira ; Gomes, Janaina Fernandes ; Assaf, Jose Mansur
Source: International Journal of Hydrogen Energy. Unidade: IQSC
Subjects: CATÁLISE, COBRE, CÉRIO, PLATINA
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ABNT
CRUZ, Aline Rodrigues Miranda et al. Cooperative effect of Pt and Cu on CeO2 for the CO-PROX reaction under CO2eH2O feed stream. International Journal of Hydrogen Energy, v. 48, n. 64, p. 24961-24975, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijhydene.2023.01.077. Acesso em: 12 dez. 2025.
APA
Cruz, A. R. M., Vieira, L. H., Assaf, E. M., Gomes, J. F., & Assaf, J. M. (2023). Cooperative effect of Pt and Cu on CeO2 for the CO-PROX reaction under CO2eH2O feed stream. International Journal of Hydrogen Energy, 48( 64), 24961-24975. doi:10.1016/j.ijhydene.2023.01.077
NLM
Cruz ARM, Vieira LH, Assaf EM, Gomes JF, Assaf JM. Cooperative effect of Pt and Cu on CeO2 for the CO-PROX reaction under CO2eH2O feed stream [Internet]. International Journal of Hydrogen Energy. 2023 ; 48( 64): 24961-24975.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.01.077
Vancouver
Cruz ARM, Vieira LH, Assaf EM, Gomes JF, Assaf JM. Cooperative effect of Pt and Cu on CeO2 for the CO-PROX reaction under CO2eH2O feed stream [Internet]. International Journal of Hydrogen Energy. 2023 ; 48( 64): 24961-24975.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.01.077
Artigo de periodico
Sensors for detection of production chemicals and oil in produced water (2023)
Pasqualeti, Anielli Martini; Shimizu, Flavio Makoto; Oliveira, Luiza Pereira de; Oliveira, Ricardo Alexandrino Guimarães de; Carvalho, Rogerio Mesquita de; Fontes, Rosane Alves; Gobbi, Angelo Luiz; Lima, Renato Sousa
Source: Trends in Analytical Chemistry. Unidade: IQSC
Subjects: SENSORES QUÍMICOS, PETRÓLEO
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ABNT
PASQUALETI, Anielli Martini et al. Sensors for detection of production chemicals and oil in produced water. Trends in Analytical Chemistry, v. 168, p. 117305, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.trac.2023.117305. Acesso em: 12 dez. 2025.
APA
Pasqualeti, A. M., Shimizu, F. M., Oliveira, L. P. de, Oliveira, R. A. G. de, Carvalho, R. M. de, Fontes, R. A., et al. (2023). Sensors for detection of production chemicals and oil in produced water. Trends in Analytical Chemistry, 168, 117305. doi:10.1016/j.trac.2023.117305
NLM
Pasqualeti AM, Shimizu FM, Oliveira LP de, Oliveira RAG de, Carvalho RM de, Fontes RA, Gobbi AL, Lima RS. Sensors for detection of production chemicals and oil in produced water [Internet]. Trends in Analytical Chemistry. 2023 ;168 117305.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.trac.2023.117305
Vancouver
Pasqualeti AM, Shimizu FM, Oliveira LP de, Oliveira RAG de, Carvalho RM de, Fontes RA, Gobbi AL, Lima RS. Sensors for detection of production chemicals and oil in produced water [Internet]. Trends in Analytical Chemistry. 2023 ;168 117305.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.trac.2023.117305
Artigo de periodico
Enhancing topological Weyl Semimetals by Janus transition-metal dichalcogenides structures (2023)
Griffith, M.A.R.; Rufo, S; Dias, Alexandre Cavalheiro ; Silva, Juarez Lopes Ferreira da
Source: Computational Materials Science. Unidade: IQSC
Assunto: TOPOLOGIA
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ABNT
GRIFFITH, M.A.R. et al. Enhancing topological Weyl Semimetals by Janus transition-metal dichalcogenides structures. Computational Materials Science, v. 218, p. 112004, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.commatsci.2022.112004. Acesso em: 12 dez. 2025.
APA
Griffith, M. A. R., Rufo, S., Dias, A. C., & Silva, J. L. F. da. (2023). Enhancing topological Weyl Semimetals by Janus transition-metal dichalcogenides structures. Computational Materials Science, 218, 112004. doi:10.1016/j.commatsci.2022.112004
NLM
Griffith MAR, Rufo S, Dias AC, Silva JLF da. Enhancing topological Weyl Semimetals by Janus transition-metal dichalcogenides structures [Internet]. Computational Materials Science. 2023 ; 218 112004.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.commatsci.2022.112004
Vancouver
Griffith MAR, Rufo S, Dias AC, Silva JLF da. Enhancing topological Weyl Semimetals by Janus transition-metal dichalcogenides structures [Internet]. Computational Materials Science. 2023 ; 218 112004.[citado 2025 dez. 12 ] Available from: https://doi.org/10.1016/j.commatsci.2022.112004

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