Artículo

Optimization of natural deep eutectic solvent composition for ultrasound-assisted extraction of phenolic compound from propolis samples

de Albuquerque, Luciano A. ; dos Reis, Marcos Levi C.M. ; Santana, Débora de A. ; Oliva, Sérgio T. ; Silva, María Fernanda Icon; Espino, Magdalena Belén Icon; Gomez, Federico Jose Vicente Icon; Dias, Fabio de S.

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Fecha

10/2025

Editorial

Elsevier Science

Revista

Journal of Chromatography B

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Institución organizadora

ISSN

1570-0232

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Inglés

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Resumen

Propolis is a resinous substance collected by bees rich in bioactive phenolic compounds, which confer medicinalproperties, making it highly commercialized. Thus, this study aimed to develop a green method of ultrasoundassistedextraction using a natural deep eutectic solvent (NADES) to determine bioactive phenolic compoundsin propolis by HPLC-DAD. A mixture design was conducted to optimize the proportion of components in theNADES synthesis, evaluating the components lactic acid, glucose, and water. The best molar ratio was determinedto be 2:1:30. To obtain the optimal experimental conditions for the phenolic compound extraction procedureusing NADES, the factors NADES volume and sonication time were evaluated using a Doehlert matrix asthe response surface methodology, and the optimal conditions were 3.5 mL and 21 min, respectively. Analyticalcurves were constructed based on the peak areas of standard solutions of vanillic acid, rutin, gallic acid, transcinnamicacid, catechin, syringic acid, d-hydroxybenzoic acid, p-coumaric acid, caffeic acid, chlorogenic acid,ferulic acid, and sinapic acid. The detection limits ranged from 0.09 to 0.4 mg L􀀀 1. The method presented goodprecision and accuracy and was applied to determining 12 phenolic compounds in three propolis samples.Furthermore, the proposed method was evaluated as a green alternative for determining phenolic compounds inpropolis samples using AGREE and AGREEprep metrics. The final result of these metrics confirms that thismethod is aligned with Green Analytical Chemistry (GAC) principles.

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