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  • Source: Acta Scientiarum. Technology. Unidade: EESC

    Subjects: BIOMASSA, BACTÉRIAS ANAERÓBICAS, REATORES ANAERÓBIOS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      SAKAMOTO, Isabel Kimiko e MAINTINGUER, Sandra Imaculada e SILVA, Maria Bernadete Amancio Varesche. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions. Acta Scientiarum. Technology, v. 41, 2019Tradução . . Disponível em: https://doi.org/10.4025/actascitechnol.v41i1.39128. Acesso em: 12 nov. 2024.
    • APA

      Sakamoto, I. K., Maintinguer, S. I., & Silva, M. B. A. V. (2019). Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions. Acta Scientiarum. Technology, 41. doi:10.4025/actascitechnol.v41i1.39128
    • NLM

      Sakamoto IK, Maintinguer SI, Silva MBAV. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions [Internet]. Acta Scientiarum. Technology. 2019 ; 41[citado 2024 nov. 12 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.39128
    • Vancouver

      Sakamoto IK, Maintinguer SI, Silva MBAV. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions [Internet]. Acta Scientiarum. Technology. 2019 ; 41[citado 2024 nov. 12 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.39128

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