Publication
A HPLC‐DAD method for identifying and estimating the content of fucoxanthin, β‐carotene and chlorophyll a in brown algal extracts
| dc.contributor.author | Lourenço-Lopes, Catarina | |
| dc.contributor.author | Fraga-Corral, Maria | |
| dc.contributor.author | Garcia-Perez, Pascual | |
| dc.contributor.author | Carreira-Casais, Anxo | |
| dc.contributor.author | Silva, Aurora | |
| dc.contributor.author | Simal-Gandara, Jesus | |
| dc.contributor.author | Prieto Lage, Miguel A. | |
| dc.date.accessioned | 2024-01-18T10:12:13Z | |
| dc.date.available | 2024-01-18T10:12:13Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Seaweeds 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 condi- tions. 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.sponsorship | The 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Lourenço-Lopes, Catarina; Fraga-Corral, Maria; Garcia-Perez, Pascual; Carreira-Casais, Anxo; Silva, Aurora; Simal-Gandara, Jesus; Prieto Lage, Miguel A. (2022). A HPLC‐DAD method for identifying and estimating the content of fucoxanthin, β‐carotene and chlorophyll a in brown algal extracts. Food Chemistry Advances. eISSN 2772-753X. 1, p. 1-11 | pt_PT |
| dc.identifier.doi | 10.1016/j.focha.2022.100095 | pt_PT |
| dc.identifier.eissn | 2772-753X | |
| dc.identifier.uri | http://hdl.handle.net/10198/29256 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | ERA-NET Biomarkers for Nutrition and Health implementing the JPI HDHL objectives | |
| dc.relation | Do mar para o cérebro: Extratos verdes neuroprotetores para nanoencapsulamento e produção de alimentos funcionais | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Fucoxanthin | pt_PT |
| dc.subject | 𝛽-Carotene | pt_PT |
| dc.subject | Chlorophyll A | pt_PT |
| dc.subject | Brown macroalgae | pt_PT |
| dc.subject | HPLC-DAD method | pt_PT |
| dc.subject | Ultrasound-assisted extraction | pt_PT |
| dc.title | A HPLC‐DAD method for identifying and estimating the content of fucoxanthin, β‐carotene and chlorophyll a in brown algal extracts | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | ERA-NET Biomarkers for Nutrition and Health implementing the JPI HDHL objectives | |
| oaire.awardTitle | Do mar para o cérebro: Extratos verdes neuroprotetores para nanoencapsulamento e produção de alimentos funcionais | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/696295/EU | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017/PTDC%2FOCE-ETA%2F30240%2F2017/PT | |
| oaire.citation.endPage | 11 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Food Chemistry Advances | pt_PT |
| oaire.citation.volume | 1 | pt_PT |
| oaire.fundingStream | H2020 | |
| oaire.fundingStream | Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017 | |
| person.familyName | Fraga-Corral | |
| person.familyName | Prieto Lage | |
| person.givenName | Maria | |
| person.givenName | Miguel A. | |
| person.identifier | 1054547 | |
| person.identifier | 107688 | |
| person.identifier.ciencia-id | 1616-98AD-4546 | |
| person.identifier.ciencia-id | 221E-1E00-AB74 | |
| person.identifier.orcid | 0000-0002-5663-9239 | |
| person.identifier.orcid | 0000-0002-3513-0054 | |
| person.identifier.rid | G-7335-2017 | |
| person.identifier.rid | G-4516-2011 | |
| person.identifier.scopus-author-id | 56346469200 | |
| person.identifier.scopus-author-id | 35937495700 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | European Commission | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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