4.7 Article

Optimization and kinetic modeling of ultrasonic-assisted extraction of fucoxanthin from edible brown algae Sargassum fusiforme using green solvents

Journal

ULTRASONICS SONOCHEMISTRY
Volume 77, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ultsonch.2021.105671

Keywords

Sargassum fusiforme; Fucoxanthin; Green solvent; Ultrasonic-assisted extraction; Kinetic modeling

Funding

  1. Department of Science and Technology of Zhejiang Province [LGN18C200016]

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The study focuses on the ultrasound-assisted extraction of fucoxanthin from edible brown algae using green solvents. Ethyl lactate, limonene, and vegetable oil were found to exhibit advantages over traditional organic solvents in terms of performance and selectivity for fucoxanthin. A second-order kinetic model was successfully developed to describe the dynamic extraction process under different operating conditions.
The development of green and sustainable extraction technologies for various naturally active biomaterials is gaining increasing attention due to their environmentally friendly advantages. In this work, the ultrasonicassisted extraction of fucoxanthin from edible brown algae Sargassum fusiforme using different green solvents was presented. Ethyl lactate, limonene, soybean oil, and sunflower oil were used in place of traditional organic solvents. Ethyl lactate showed similar performance to organic solvents, whereas limonene and vegetable oil exhibited higher selectivity for fucoxanthin. Moreover, the effects of various extraction factors, including liquid/ solid ratio, extraction time, extraction temperature, as well as amplitude were studied. The optimal conditions were optimized as follows: liquid/solid ratio, 40 mL/g; extraction time, 27 min; extraction temperature, 75 celcius; amplitude, 53%; and solvent, ethyl lactate. Optimal model of second-order kinetic parameters (rate constant, equilibrium concentration, and initial extraction rate) was successfully developed for describing the dynamic ultrasonic extraction process under different operating conditions.

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