Título:	Coconut water microfiltration optimization using response surface modeling, neural networks, and genetic algorithms: performance and nutritional retention.
Autoria:	VIANA, J. D. da R. SOUZA, A. C. R. de RIBEIRO, P. R. V. SILVA, L. M. A. e CANUTO, K. M. REZZADORI, K. AREND, G. D. DIONISIO, A. P. PETRUS, J. C. C.
Afiliação:	JOSÉ DIOGO DA ROCHA VIANA, UNIVERSIDADE FEDERAL DE SANTA CATARINA; ARTHUR CLAUDIO RODRIGUES DE SOUZA, CNPAT; PAULO RICELI VASCONCELOS RIBEIRO, CNPAT; LORENA MARA ALEXANDRE E SILVA, CNPAT; KIRLEY MARQUES CANUTO, CNPAT; KATIA REZZADORI, UNIVERSIDADE FEDERAL DE SANTA CATARINA; GIORDANA DEMAMAN AREND, UNIVERSIDADE FEDERAL DE SANTA CATARINA; ANA PAULA DIONISIO, CNPAT; JOSÉ CARLOS CUNHA PETRUS, UNIVERSIDADE FEDERAL DE SANTA CATARINA.
Ano de publicação:	2026
Referência:	Membranes, v. 16, n. 7, 221, July 2026.
Conteúdo:	Although coconut water is recognized for its desirable sensory appeal and nutritional composition, its broader industrial use is constrained by the rapid deterioration that occurs after extraction. In this study, crossflow microfiltration of coconut water with a silicon carbide membrane was optimized by investigating pressure and temperature through a face-centered design (FCD) and artificial neural network modeling coupled with a genetic algorithm (ANN–GA). Permeate flux and fouling index were used as process responses, and the optimized condition was further examined in terms of hydraulic resistance, fouling behavior, and retention of minerals and primary metabolites. Pressure and temperature affected the process differently: permeate flux showed marked nonlinear behavior, whereas fouling index was governed mainly by pressure. At the sample level, ANN described permeate flux more accurately than FCD (R2 = 0.99 vs. 0.96), whereas FCD showed better grouped cross-validated predictivity across unseen pressure–temperature conditions (Q2 = 0.85 vs. 0.57). For the fouling index, FCD outperformed ANN in both sample-level fit and grouped validation (R2 = 0.95 vs. 0.60; Q2 = 0.70 vs. 0.61). Both approaches converged on the same favorable operating window, and experimental validation at 60 kPa and 35 °C yielded 1085.23 ± 23.12 L h−1 m−2 and 83.56 ± 1.56%. During concentration mode, flux decline was severe but predominantly reversible, with high clean-water permeance recovery after chemical cleaning. Resistance partition and fouling modeling indicated that the main hydraulic limitation was associated with concentration polarization and external cake-layer buildup rather than irreversible membrane damage. The clarified fraction also preserved high transmission of major minerals and relevant primary metabolites, indicating that the selected condition combined high productivity, manageable fouling, and satisfactory nutritional retention.
Thesagro:	Cocos Nucifera Água de Coco Filtração Membrana Método de Otimização Análise Estatística Tecnologia de Alimento Clarificação Valor Nutritivo Nutriente Mineral Pressão Temperatura Permeabilidade Limpeza
NAL Thesaurus:	Coconut water Microfiltration Ceramics Silicon carbide Food processing Nonthermal processing System optimization Response surface methodology Neural networks Algorithms Experimental design Fouling Filter cake Permeability Cleaning Pressure Temperature Nutrient retention Food composition Mineral content Metabolites Nuclear magnetic resonance spectroscopy
Palavras-chave:	Crossflow microfiltration Membrane fouling Genetic algorithms Permeate flux Concentration polarization Cake filtration
ISSN:	2077-0375
Digital Object Identifier:	https://doi.org/10.3390/membranes16070221
Notas:	Autoria: Lorena Mara Alexandre Silva.
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPAT)