Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1173351
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dc.contributor.authorBARROS, G. L. de
dc.contributor.authorSILVA, F. T. S.
dc.contributor.authorTEIXEIRA, R. S.
dc.contributor.authorWAGNER, J. G.
dc.contributor.authorROMBALDI, C. V.
dc.contributor.authorVIZZOTTO, M.
dc.contributor.authorUBEYITOGULLARI, A.
dc.contributor.authorNORA, L.
dc.date.accessioned2025-02-25T20:27:51Z-
dc.date.available2025-02-25T20:27:51Z-
dc.date.created2025-02-25
dc.date.issued2024
dc.identifier.citationInternational Journal of Food Properties, v. 27, n. 1, p. 1315-1346, 2024.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1173351-
dc.descriptionAbstract: Efficient anthocyanin extraction from emerging food matrices is essential in food technology and requires a precise, consistent, and clear extraction method. This study aimed to develop a decision-tree tool for selecting the optimal anthocyanin extraction technique. A comprehensive data synthesis covering the years 2018 to 2023 was conducted using leading academic databases, including Web of Science, Scopus, Medline, and SciELO. A combination of systematic and non-systematic approaches was employed to guide the decision-making process. The keywords used included “anthocyanin extraction methods,” and studies with more than 10 citations were prioritized, along with recent and relevant publications. Thirty-six articles were analyzed according to the PRISMA 2020 guidelines for systematic reviews. While ultrasound and microwave-assisted methods were predominantly featured, accounting for 46% of the reviewed studies, other methods such as enzyme-assisted extraction, deep eutectic solvents, and ionic liquid extraction were also evaluated for their comparative efficiency and suitability across various matrices. Fruits were the primary matrix, with a focus on the pericarp. While fruits, particularly the pericarp, was the primary matrix studied, the decision-tree tool is designed to be applicable across various food matrices, demonstrating its versatility and generalizability beyond fruits. The decision-tree tool was successfully applied to matrices with different structures, showcasing its adaptability. Integration of this tool could streamline selection processes, resulting in significant time and resource savings. In conclusion, this study highlights the influence of plant morpho-anatomical structures and extraction parameters on anthocyanin yield. It demonstrates how the decision-tree approach enhances efficiency and productivity, validated through blackberry and purple sweet potato matrices.
dc.language.isopor
dc.rightsopenAccess
dc.subjectAnthocyanin yield
dc.subjectUltrasound-assisted extraction
dc.subjectMicrowave assisted extraction
dc.subjectEnzyme assisted extraction
dc.subjectDeep eutectic solvents
dc.subjectIonic liquid
dc.subjectNon conventional extraction
dc.subjectExtração assistida por micro-ondas
dc.subjectRendimento de antocianina
dc.subjectExtração assistida por ultrassom
dc.subjectExtração assistida por enzimas
dc.subjectSolventes eutéticos profundos
dc.subjectLíquido iônico
dc.subjectExtração não convencional
dc.titleAnthocyanin extraction methods: synthesis of morpho-anatomical knowledge for decision-making based on decision-tree
dc.typeArtigo de periódico
riaa.ainfo.id1173351
riaa.ainfo.lastupdate2025-02-25
dc.identifier.doihttps://doi.org/10.1080/10942912.2024.2409893
dc.contributor.institutionGABRIEL LAQUETE DE BARROS, MOZAMBIQUE INSTITUTE OF AGRICULTURAL RESEARCH; F. T. S. SILVA, UNIVERSIDADE FEDERAL DE PELOTAS; R. S. TEIXEIRA, UNIVERSIDADE FEDERAL DE PELOTAS; J. G. WAGNER, UNIVERSIDADE FEDERAL DE PELOTAS; C. V. ROMBALDI, UNIVERSIDADE FEDERAL DE PELOTAS; MARCIA VIZZOTTO FOSTER, CPACT; A. UBEYITOGULLARI, UNIVERSITY OF ARKANSAS; L. NORA, UNIVERSIDADE FEDERAL DE PELOTAS.
Aparece nas coleções:Artigo em periódico indexado (CPACT)

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