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Modeling and Optimization of Ultrasound-Assisted Extraction of Antioxidants from Yerba Mate (Ilex paraguariensis St. Hill) Using Artificial Neural Networks and ANFIS.

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Title: Modeling and Optimization of Ultrasound-Assisted Extraction of Antioxidants from Yerba Mate (Ilex paraguariensis St. Hill) Using Artificial Neural Networks and ANFIS.
Authors: Peters ARN; Chemical Engineering Department. Rua Guaíra, State University of West Parana, 3141, Toledo, Brazil., Filho FFC; Chemical Engineering Department. Rua Guaíra, State University of West Parana, 3141, Toledo, Brazil., Carvalho JK; Chemical Engineering Department. Rua Guaíra, State University of West Parana, 3141, Toledo, Brazil. jessycakcarvalho@gmail.com., da Silva EA; Chemical Engineering Department. Rua Guaíra, State University of West Parana, 3141, Toledo, Brazil., Godinho EZ; Faculty of Zootechnics and Food Engineering. , University of São Paulo, Pirassununga, SP, 13635-900, Brazil., de Lima Caneppele F; Faculty of Zootechnics and Food Engineering. , University of São Paulo, Pirassununga, SP, 13635-900, Brazil., da Silva C; Chemical Engineering Department. CEP, State University of Maringá, Maringá, Paraná, 87020-900, Brazil., Hasan SDM; Chemical Engineering Department. Rua Guaíra, State University of West Parana, 3141, Toledo, Brazil.
Source: Applied biochemistry and biotechnology [Appl Biochem Biotechnol] 2025 Nov; Vol. 197 (11), pp. 7609-7626. Date of Electronic Publication: 2025 Oct 11.
Publication Type: Journal Article
Journal Info: Publisher: Humana Press Country of Publication: United States NLM ID: 8208561 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-0291 (Electronic) Linking ISSN: 02732289 NLM ISO Abbreviation: Appl Biochem Biotechnol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1559-0291
DOI:10.1007/s12010-025-05423-w