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dc.contributor.author | Bojorges-Gutierrez, Hylenne | es_ES |
dc.contributor.author | López-Rubio, Amparo | es_ES |
dc.contributor.author | Fabra Rovira, Maria José | es_ES |
dc.contributor.author | Martínez-Abad, Antonio | es_ES |
dc.date.accessioned | 2024-09-24T18:06:02Z | |
dc.date.available | 2024-09-24T18:06:02Z | |
dc.date.issued | 2023-12-01 | es_ES |
dc.identifier.issn | 0144-8617 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/208608 | |
dc.description.abstract | [EN] Alginates are industrially relevant polysaccharides widely used in the food and biomedical industries for their excellent gelling properties. The growing emphasis on the valorization of marine resources has evidenced the need for alternative methods for the determination of both alginate content and the M/G ratio. This study describes the application of acid methanolysis and separation by anion exchange chromatography. Five samples, including alginates extracted from Saccharina latissima, Ascophyllum nodosum, a certified standard, and two polyuronates (Poly-M and Poly-G), were analysed for their M/G ratio and alginate content at different treatment conditions, and compared with other conventionally used or reference methods (NMR, FTIR, and colorimetric methods). Quantitative estimation of alginate was relatively accurate at optimum conditions (4 h at 100 ¿C), as compared with the certified standard or with other colorimetric methods. M/G ratios were not significantly different from those determined after the reference method ( 1 H NMR) or compared to FTIR protocols. The results evidence that methanolysis may be applied to simultaneously estimate the purity and M/G ratio of alginate-rich samples in a single analysis. | es_ES |
dc.description.sponsorship | The authors acknowledge funds from the project PID2020-117744RJ-I00, grant CEX2021-001189-S funded by MCIN/AEI/10.13039/501100011033 and project CIRCALGAE (Horizon Europe) under grant agreement 101060607. H. Bojorges acknowledges financial support from the Generalitat Valenciana for the award of a Santiago Grisolía grant (GRISOLIAP/2019/007). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Carbohydrate Polymers | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Alginate | es_ES |
dc.subject | HPAEC-PAD | es_ES |
dc.subject | NMR spectroscopy | es_ES |
dc.subject | Uronic acid determination | es_ES |
dc.title | Estimation of alginate purity and M/G ratio by methanolysis coupled with anion exchange chromatography | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.carbpol.2023.121285 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117744RJ-I00/ES/DESARROLLO DE UN NUEVO PROCESO DE EXTRACCION EN CASCADA PARA LA VALORIZACION INTEGRAL DE ALGAS EN INGREDIENTES FUNCIONALES PARA APLICACIONES ALIMENTARIAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/HE/101060607/EU/CIRCular valorisation of industrial ALGAE waste streams into high-value products to foster future sustainable blue biorefineries in Europe/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GRISOLIAP%2F2019%2F007//Subvenciones del Programa Santiago Grisolía/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//CEX2021-001189-S/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Bojorges-Gutierrez, H.; López-Rubio, A.; Fabra Rovira, MJ.; Martínez-Abad, A. (2023). Estimation of alginate purity and M/G ratio by methanolysis coupled with anion exchange chromatography. Carbohydrate Polymers. 321. https://doi.org/10.1016/j.carbpol.2023.121285 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https:/doi.org/10.1016/j.carbpol.2023.121285 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 321 | es_ES |
dc.identifier.pmid | 37739498 | es_ES |
dc.relation.pasarela | S\509443 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |