Green and Multivariate Approach to Obtain a Fingerprint of Red Wines by HPLC-PAD

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorNational Institute of Alternative Technologies for Detection Toxicological Assessment and Removal of Micropollutants and Radioactive Substances (INCT-DATREM)-
Autor(es): dc.creatorPelissari, João Henrique [UNESP]-
Autor(es): dc.creatorBragagnolo, Felipe Sanchez [UNESP]-
Autor(es): dc.creatorPereira, Fabíola Manhas Verbi [UNESP]-
Autor(es): dc.creatorBorges, Maiara Stefanini [UNESP]-
Autor(es): dc.creatorde Funari, Cristiano Soleo [UNESP]-
Autor(es): dc.creatorRinaldo, Daniel [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:51:48Z-
Data de disponibilização: dc.date.available2022-02-22T00:51:48Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s12161-021-02006-3-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/207921-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/207921-
Descrição: dc.descriptionThis work presents the development of a strategy that integrates multivariate statistical analysis and concepts of green chemistry to obtain the chromatographic profile of Brazilian red wines by HPLC-PAD. An initial screening of variables was performed using fractional factorial design (2IV7–2) to investigate the main parameters responsible for separating phenolic compounds. It was considered the initial and final % of bioethanol in the organic mobile phase, % acetic acid in aqueous mobile phase, flow rate, running time, type of column chemistry, and column temperature. The number of chromatographic bands was used as empiric response. The most important variables were selected to further optimization by Doehlert factorial design. The optimal condition was as follows: initial % of bioethanol=5%, final % of bioethanol=55%, column temperature= 51.8 °C, % acetic acid in H2O =0.1%, flow rate = 0.75 mL·min−1, time=30 min, and column chemical composition=Phenyl-Hexyl (X-Select). The optimized method allowed the separation of 24 chromatographic bands with signal/noise (S/N) higher than 100, a response at least 17% higher than observed in the screening step. The method allowed the separation and identification of the main compounds presented in red wines: gallic acid, caffeic acid, syringic acid, p-coumaric acid, resveratrol, kaempferol, catechin, and epicatechin.-
Descrição: dc.descriptionInstitute of Chemistry UNESP - São Paulo State University, 55 Professor Francisco Degni, Araraquara-
Descrição: dc.descriptionSchool of Agricultural Sciences UNESP - São Paulo State University, 1879 Doutor José Barbosa de Barros St, Jardim Paraíso, Botucatu-
Descrição: dc.descriptionNational Institute of Alternative Technologies for Detection Toxicological Assessment and Removal of Micropollutants and Radioactive Substances (INCT-DATREM), Araraquara-
Descrição: dc.descriptionSchool of Sciences São Paulo State University, 14-01 Engenheiro Luiz Edmundo Carrijo Coube Ave, Vargem Limpa, Bauru-
Descrição: dc.descriptionInstitute of Chemistry UNESP - São Paulo State University, 55 Professor Francisco Degni, Araraquara-
Descrição: dc.descriptionSchool of Agricultural Sciences UNESP - São Paulo State University, 1879 Doutor José Barbosa de Barros St, Jardim Paraíso, Botucatu-
Descrição: dc.descriptionSchool of Sciences São Paulo State University, 14-01 Engenheiro Luiz Edmundo Carrijo Coube Ave, Vargem Limpa, Bauru-
Idioma: dc.languageen-
Relação: dc.relationFood Analytical Methods-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDesign of experiments-
Palavras-chave: dc.subjectGreen approach-
Palavras-chave: dc.subjectGreen chromatography-
Palavras-chave: dc.subjectSustainability-
Título: dc.titleGreen and Multivariate Approach to Obtain a Fingerprint of Red Wines by HPLC-PAD-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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