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Temperature-responsive biphasic deep eutectic solvent system enables integrated extraction and self-separation of polyphenols from Moringa oleifera Lam. leaves: a machine learning-optimized biorefinery approach

Journal 2026 · IF 8.2 · 发表于 2026 年 7 月 30 日
作者: Weilong Peng,Lijun Wang,Lichao Song,Yan Liu,Yu Ren,Yaya Wang,Weimei Wang,Jun Chen,Ruonan Bo,Mingjiang Liu,Jingui Li
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摘要

A novel amine-free temperature-responsive biphasic DES (BLevA-OA) was developed. • Reversible phase transition integrated polyphenol extraction and separation. • GSWOA-SVR machine learning accurately optimized the extraction process. • MD simulations revealed molecular mechanisms of extraction and phase switching. • TRDES system outperformed traditional ethanol in extraction efficiency. The sustainable recovery of bioactive phytochemicals is frequently hindered by the toxicity and separation bottlenecks of conventional volatile organic solvents. Herein, a novel amine-free temperature-responsive biphasic deep eutectic solvent (TRDES) system, composed of betaine, levulinic acid, and octanoic acid (BLevA-OA), was constructed for the integrated extraction and separation of polyphenols from Moringa oleifera Lam. ( M. oleifera ) leaves. This system exhibits reversible thermomorphic behavior, transitioning from a homogeneous single phase at 60 °C to maximize mass transfer, to a biphasic state at 25 °C for spontaneous phase-selective separation. To address the nonlinear complexity of the extraction process, a hybrid Gaussian Whale Optimization Algorithm-Support Vector Regression (GSWOA-SVR) model was developed, which precisely optimized the parameters to achieve a maximum total polyphenol content of 39.8 mg GAE/g DW, which is 1.7 times that of conventional ethanol extraction. Furthermore, multiscale computational analyses combining COSMO-RS and Molecular Dynamics (MD) simulations elucidated the microscopic mechanism: the superior extraction efficiency stems from a cooperative network of specific hydrogen bonding and hydrophobic interactions, while the temperature-triggered phase transition is driven by the kinetic modulation of component miscibility and diffusion. This work establishes a sustainable, closed loop strategy for the high efficiency recovery of polyphenols from M. oleifera leaves, offering a theoretical and practical foundation for the industrial application of smart green solvents in the circular bio-economy. Download: Download high-res image (236KB) Download: Download full-size image

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