Source: Applied Biochemistry and Biotechnology. Unidade: FZEA
Subjects: MATE, ANTIOXIDANTES, ULTRASSOM, REDES NEURAIS
ABNT
PETERS, Alini Rafaela Neitzki et al. Modeling and optimization of ultrasound assisted extraction of antioxidants from yerba mate (Ilex paraguariensis St. Hill) using Artificial Neural Networks and ANFIS. Applied Biochemistry and Biotechnology, v. 197, p. 7609-7626, 2025Tradução . . Disponível em: https://doi.org/10.1007/s12010-025-05423-w. Acesso em: 13 abr. 2026.APA
Peters, A. R. N., Cardoso Filho, F. F., Carvalho, J. K., Silva, E. A. da, Godinho, E. Z., Caneppele, F. de L., et al. (2025). Modeling and optimization of ultrasound assisted extraction of antioxidants from yerba mate (Ilex paraguariensis St. Hill) using Artificial Neural Networks and ANFIS. Applied Biochemistry and Biotechnology, 197, 7609-7626. doi:10.1007/s12010-025-05423-wNLM
Peters ARN, Cardoso Filho FF, Carvalho JK, Silva EA da, Godinho EZ, Caneppele F de L, Silva C da, Hasan SDM. Modeling and optimization of ultrasound assisted extraction of antioxidants from yerba mate (Ilex paraguariensis St. Hill) using Artificial Neural Networks and ANFIS [Internet]. Applied Biochemistry and Biotechnology. 2025 ; 197 7609-7626.[citado 2026 abr. 13 ] Available from: https://doi.org/10.1007/s12010-025-05423-wVancouver
Peters ARN, Cardoso Filho FF, Carvalho JK, Silva EA da, Godinho EZ, Caneppele F de L, Silva C da, Hasan SDM. Modeling and optimization of ultrasound assisted extraction of antioxidants from yerba mate (Ilex paraguariensis St. Hill) using Artificial Neural Networks and ANFIS [Internet]. Applied Biochemistry and Biotechnology. 2025 ; 197 7609-7626.[citado 2026 abr. 13 ] Available from: https://doi.org/10.1007/s12010-025-05423-w
