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A HPLC‐DAD method for identifying and estimating the content of fucoxanthin, β‐carotene and chlorophyll a in brown algal extracts

dc.contributor.authorLourenço-Lopes, C.
dc.contributor.authorFraga-Corral, M.
dc.contributor.authorGarcia-Perez, P.
dc.contributor.authorCarreira-Casais, A.
dc.contributor.authorSilva, Aurora
dc.contributor.authorSimal-Gandara, J.
dc.contributor.authorPrieto, M.A.
dc.date.accessioned2023-01-25T15:07:36Z
dc.date.available2023-01-25T15:07:36Z
dc.date.issued2022
dc.description.abstractSeaweeds are photosynthetic organisms that have high contents of pigments. The coloration of each alga is defined by the content and combination of pigments synthesized, which varies among species and environmental conditions. The most abundant pigments in algae are chlorophylls and carotenoids, lipophilic molecules that can be used as natural colorants and have high acceptance by consumers. In this work, a simple and short hands-on time HPLC-DAD method for identifying and estimating the pigment content of algal extracts, specifically fucoxanthin, β-carotene and chlorophyll a was carried out. Using this optimized method, a pigment screening was performed on the ethanolic extracts obtained by ultrasound-assisted extraction from nine brown algal from the Atlantic coastline: Ascophyllum nodosum, Bifurcaria bifurcata, Fucus spiralis, Himanthalia elongata, Laminaria saccharina, Laminaria ochroleuca, Pelvetia canaliculata, Sargassum muticum and Undaria pinnatifida. HPLC results permitted to highlight L. saccharina and U. pinnatifida as promising sources of these three target pigments containing a total amount of 10.5 – 11.5 mg per gram of dry weight. Among them, the most abundant one was fucoxanthin, an added-value compound with a high potential to be commercially exploited by different industries, such as the food, cosmetic, and pharmaceutical sectors.pt_PT
dc.description.sponsorshipThe research leading to these results was supported by MICINN sup- porting the Ramón y Cajal grant for M.A. Prieto (RYC-2017-22891), the FPU grant for A. Carreira-Casais (FPU2016/06135); and by Xunta de Galicia for supporting the post-doctoral grant of M. Fraga-Corral (ED481B-2019/096). The research leading to these results was sup- ported by the European Union through the “NextGenerationEU ”pro- gram supporting the “Margarita Salas ”grant awarded to P. Garcia- Perez. Authors are grateful to AlgaMar company ( www.algamar.com ) for the collaboration and algal material provision. This research was funded by the Ibero-American Program on Science and Technology (CYTED —AQUA-CIBUS, P317RT0003), the Bio Based Industries Joint Undertaking (JU) under grant agreement No 888003 UP4HEALTH Project (H2020-BBI-JTI-2019) that supports the work of C. Lourenço- Lopes. The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Bio Based Industries Consor- tium. The project SYSTEMIC Knowledge hub on Nutrition and Food Se- curity, has received funding from national research funding parties in Belgium (FWO), France (INRA), Germany (BLE), Italy (MIPAAF), Latvia (IZM), Norway (RCN), Portugal (FCT), and Spain (AEI) in a joint ac- tion of JPI HDHL, JPI-OCEANS and FACCE-JPI launched in 2019 un- der the ERA-NET ERA-HDHL (n°696295). The authors would like to thank the EU and FCT for funding through the project PTDC/OCE- ETA/30240/2017- SilverBrain - From sea to brain: Green neuropro- tective extracts for nanoencapsulation and functional food production (POCI-01-0145-FEDER-030240).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.focha.2022.100095pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/21861
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationRYC-2017-22891pt_PT
dc.relationFPU2016/06135pt_PT
dc.relationED481B-2019/096pt_PT
dc.relationP317RT0003pt_PT
dc.relationSustainable and cost-effective production process for the upcycling of olive, grape and nut by-products into 4 natural and healthy ingredients for nutraceutical and cosmetic applications
dc.relationERA-NET Biomarkers for Nutrition and Health implementing the JPI HDHL objectives
dc.relationPOCI-01-0145-FEDER-030240pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2772753X22000831?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectFucoxanthinpt_PT
dc.subject𝛽-Carotenept_PT
dc.subjectChlorophyll Apt_PT
dc.subjectBrown macroalgaept_PT
dc.subjectHPLC-DAD methodpt_PT
dc.subjectUltrasound-assisted extractionpt_PT
dc.titleA HPLC‐DAD method for identifying and estimating the content of fucoxanthin, β‐carotene and chlorophyll a in brown algal extractspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSustainable and cost-effective production process for the upcycling of olive, grape and nut by-products into 4 natural and healthy ingredients for nutraceutical and cosmetic applications
oaire.awardTitleERA-NET Biomarkers for Nutrition and Health implementing the JPI HDHL objectives
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/888003/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/696295/EU
oaire.citation.startPage100095pt_PT
oaire.citation.titleFood Chemistry Advancespt_PT
oaire.citation.volume1pt_PT
oaire.fundingStreamH2020
oaire.fundingStreamH2020
person.familyNameSoares da Silva
person.givenNameMaria Aurora
person.identifier1418356
person.identifier.ciencia-id4A1F-0531-3943
person.identifier.orcid0000-0002-8066-360X
person.identifier.scopus-author-id57197468074
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication612a165f-4a85-48ad-b7a4-dba8d5687d9b
relation.isAuthorOfPublication.latestForDiscovery612a165f-4a85-48ad-b7a4-dba8d5687d9b
relation.isProjectOfPublication2f8a7f48-af63-487f-a00e-6fda3d2215c4
relation.isProjectOfPublication1568b451-99e3-434a-86fd-f12e6612ade0
relation.isProjectOfPublication.latestForDiscovery1568b451-99e3-434a-86fd-f12e6612ade0

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