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Filtros : "IFSC005" "2023" "Antibiotics" Limpar

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  • Artigo de periodico

    Bacterial adhesion strength on titanium surfaces quantified by atomic force microscopy: a systematic review (2023)

    Tardelli, Juliana Dias Corpa ; Bagnato, Vanderlei Salvador ; Reis, Andréa Cândido dos

    Source: Antibiotics. Unidades: IFSC, FORP

    Subjects: TITÂNIO, AGENTES ANTIMICROBIANOS, MICROSCOPIA DE FORÇA ATÔMICA, IMPLANTE DENTÁRIO ENDOÓSSEO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      TARDELLI, Juliana Dias Corpa e BAGNATO, Vanderlei Salvador e REIS, Andréa Cândido dos. Bacterial adhesion strength on titanium surfaces quantified by atomic force microscopy: a systematic review. Antibiotics, v. 12, n. 6, p. 994-1-994-16 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.3390/antibiotics12060994. Acesso em: 10 out. 2024.

    • APA

      Tardelli, J. D. C., Bagnato, V. S., & Reis, A. C. dos. (2023). Bacterial adhesion strength on titanium surfaces quantified by atomic force microscopy: a systematic review. Antibiotics, 12( 6), 994-1-994-16 + supplementary materials. doi:10.3390/antibiotics12060994

    • NLM

      Tardelli JDC, Bagnato VS, Reis AC dos. Bacterial adhesion strength on titanium surfaces quantified by atomic force microscopy: a systematic review [Internet]. Antibiotics. 2023 ; 12( 6): 994-1-994-16 + supplementary materials.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/antibiotics12060994

    • Vancouver

      Tardelli JDC, Bagnato VS, Reis AC dos. Bacterial adhesion strength on titanium surfaces quantified by atomic force microscopy: a systematic review [Internet]. Antibiotics. 2023 ; 12( 6): 994-1-994-16 + supplementary materials.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/antibiotics12060994

  • Artigo de periodico

    Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm (2023)

    Patiño, Claudia Patricia Barrera ; Soares, Jennifer Machado ; Blanco, Kate Cristina ; Inada, Natalia Mayumi ; Bagnato, Vanderlei Salvador

    Source: Antibiotics. Unidade: IFSC

    Subjects: RESISTÊNCIA MICROBIANA ÀS DROGAS, ANTIBIÓTICOS, APRENDIZADO COMPUTACIONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      PATIÑO, Claudia Patricia Barrera et al. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, v. 12, n. 10, p. 1502-1-1502-18 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.3390/antibiotics12101502. Acesso em: 10 out. 2024.

    • APA

      Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2023). Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, 12( 10), 1502-1-1502-18 + supplementary materials. doi:10.3390/antibiotics12101502

    • NLM

      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/antibiotics12101502

    • Vancouver

      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 out. 10 ] Available from: https://doi.org/10.3390/antibiotics12101502
  • 1

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