Efficient extraction and purification of mycosporines-like amino acids (MAAs) following a multiproduct biorefinery approach

resumo

A marine bio-based economy has emerged as a sustainable and renewable solution to address the resource depletion of fossil fuels and ensure a responsible and sustainable utilization of natural resources by following a multi-product biorefinery approach. Macroalgae are a valuable source of several high-demand compounds including mycosporine-like amino acids (MAAs), which can absorb UV radiation and protect the skin from external damage. In this work, a sustainable and multi-product biorefinery was designed from Gracilaria sp. by applying a solid-liquid extraction followed by two purification steps, ultrafiltration and induced precipitation. This process enabled the recovery of three valuable compound fractions, one rich in phycobiliproteins, a second, rich in non-fluorescent proteins, and a third, rich in MAAs (main goal), specifically porphyra-334. In addition, by 2,2 '-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) scavenging assay, MAAs-rich fraction revealed enhanced antioxidant activity. Lastly, a comprehensive conceptual design of the process was created, envisioning its implementation at an industrial scale.

palavras-chave

ANTIOXIDANT ACTIVITY; PRODUCTS; UV

categoria

Engineering

autores

Vaz, BMC; Leite, MSCTS; Contieri, LS; Mesquita, LMD; Conde, A; Oliveira, JP; Pinto, DCGA; Ventura, SPM

nossos autores

agradecimentos

This work was developed within the scope of the project CICECO-Aveiro Institute of Materials, UIDB/50011/2020 (DOI 10.54499/UIDB/50011/2020), UIDP/50011/2020 (DOI 10.54499/UIDP/50011/2020) & LA/P/0006/2020 (DOI 10.54499/LA/P/0006/2020), financed by national funds through the FCT/MCTES (PIDDAC). This work was co-financed by the FCT project with the Ref: 2022.04670.PTDC. The authors would like to thank "Fundacao de Amparo a Pesquisa do Estado de Sao Paulo - FAPESP" for the fellowship of L.S. Contieri (2020/03623-2) and L.M. de Souza Mesquita (2020/08421-9), and FCT for the doctoral grant of B.M.C Vaz (2022.13816.BD).

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