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First chemical profile analysis of Acacia Pods

2023-10Journal article Open access
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dc.contributor.authorPedro, Soraia I.
dc.contributor.authorFernandes, Tiago A.
dc.contributor.authorLuís, Ângelo
dc.contributor.authorAntunes, Alexandra M. M.
dc.contributor.authorGonçalves, José C.
dc.contributor.authorGominho, Jorge
dc.contributor.authorGallardo, Eugenia
dc.contributor.authorAnjos, Ofélia
dc.date.accessioned2024-07-17T12:53:00Z
dc.date.available2024-07-17T12:53:00Z
dc.date.issued2023-10
dc.description.abstractThis study intended to evaluate the potential industrial applications of various Acacia species (Acacia melanoxylon, Acacia longifolia, Acacia cyclops, Acacia retinodes, Acacia pycnantha, Acacia mearnsii, and Acacia dealbata) by examining their chemical composition, antioxidant, and antimicrobial properties. Using high-resolution mass spectrometry, a comprehensive analysis successfully identified targeted compounds, including flavonoids (flavonols/flavones) and phenolic acids, such as 4-hydroxybenzoic acid, p-coumaric acid, and ellagic acid. Additionally, p-coumaric acid was specifically identified and quantified within the hydroxycinnamic aldehydes. This comprehensive characterization provides valuable insights into the chemical profiles of the studied species. Among the studied species, A. pycnantha exhibited a higher concentration of total phenolic compounds, including catechin, myricetin, quercetin, and coniferaldehyde. Furthermore, A. pycnantha displayed notable antibacterial activity against K. pneumoniae, E. coli, S. Typhimurium, and B. cereus. The identified compounds in Acacia pods and their shown antibacterial activities exhibit promising potential for future applications. Moreover, vibrational spectroscopy was a reliable method for distinguishing between species. These significant findings enhance our understanding of Acacia species and their potential for various industrial applications.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPedro, S.I.; Fernandes, T.A.; Luís, Â.; Antunes, A.M.M.; Gonçalves, J.C.; Gominho, J.; Gallardo, E.; Anjos, O. First chemical profile analysis of Acacia Pods. Plants 2023, 12, 3486pt_PT
dc.identifier.doi10.3390/plants12193486pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/31312
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationAcacia biomass exploitation: a tool to reduce wildfires risk in unmanaged forestlands
dc.relation.publisherversionhttps://www.mdpi.com/journal/plantspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAcaciapt_PT
dc.subjectphenolic compoundspt_PT
dc.subjectpodspt_PT
dc.subjectUHPLC/ESI-QTOF-MSpt_PT
dc.subjectHPLC-DADpt_PT
dc.subjectFT-Ramanpt_PT
dc.titleFirst chemical profile analysis of Acacia Podspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAcacia biomass exploitation: a tool to reduce wildfires risk in unmanaged forestlands
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2018/PCIF%2FGVB%2F0145%2F2018/PT
oaire.citation.issue19pt_PT
oaire.citation.startPageArticle number 3486pt_PT
oaire.citation.titlePlantspt_PT
oaire.citation.volume12pt_PT
oaire.fundingStreamConcurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2018
person.familyNameGominho
person.givenNameJorge
person.identifierc-OdG5gAAAAJ
person.identifier.ciencia-idE21C-1B36-77F6
person.identifier.orcid0000-0003-3419-6075
person.identifier.scopus-author-id57195915156
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationfe9fa41e-219f-4a80-8131-4cccb07c3a6a
relation.isAuthorOfPublication.latestForDiscoveryfe9fa41e-219f-4a80-8131-4cccb07c3a6a
relation.isProjectOfPublicationf70de463-2d67-4537-ba87-43bb580ab06e
relation.isProjectOfPublication.latestForDiscoveryf70de463-2d67-4537-ba87-43bb580ab06e

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