Rodrigues Victor Hugo, Cavassa Arthur, Cardeal Júlia, Brazil Nathalya, Teixeira Helder, von Poser Gilsane, Vargas Rubem Mário, Duarte Ana Rita, Cassel Eduardo
Laboratório de Operações Unitárias, Escola Politécnica, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre 90619-900, RS, Brazil.
Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Rio Grande do Sul, Porto Alegre 90010-150, RS, Brazil.
Molecules. 2025 Aug 23;30(17):3468. doi: 10.3390/molecules30173468.
Deep eutectic solvents (DESs) have been studied to obtain extracts from medicinal plants, aiming for a more environmentally friendly process. Aligned with this initiative, the use of predictive thermodynamic models for screening the best solvent represents a theoretical action to reduce experimental time and cost. Therefore, this study aimed to perform and validate a relative solubility screening of 5-methoxy-6,7-methylenedioxycoumarin and prenyletin-methyl-ether at 313 K in choline chloride, menthol, and betaine-based DES, using the COSMO-RS model in COSMOThermX software. The density of DES was also predicted with a maximum error of 7.31% for this property. Ultrasound-assisted extraction (UAE) with DES at 313 K, 30 min, and a solid/liquid ratio of 1:20 (/) was performed to confirm the theoretical solubility results experimentally, as the extracts were analyzed through ultrafast liquid chromatography (UFLC) for coumarin content. For the results, the coumarin molecules presented intense peaks in the nonpolar region of their σ-profile, and the relative solubility screening indicated the DES Men/Lau (2:1), known for its hydrophobic nature and low polarity, as the best DES to solubilize these coumarins. Nevertheless, the UFLC results, and the complementary solubility screening of pigments, showed an interaction preference of this DES with chlorophylls instead of coumarins. This result was corroborated by spectrophotometric analysis of the extracts in UV-Vis, demonstrating that experimental validation is still mandatory in extraction processes and that predictive methodologies such as COSMO-RS should be used as guiding tools and analyzed in a greater context, considering the complexity of plant matrices in the beginning of simulations.
人们对深共熔溶剂(DESs)进行了研究,以从药用植物中提取提取物,目标是实现更环保的工艺。与这一举措相一致,使用预测热力学模型筛选最佳溶剂是一种减少实验时间和成本的理论行动。因此,本研究旨在使用COSMOThermX软件中的COSMO-RS模型,在313 K下对5-甲氧基-6,7-亚甲二氧基香豆素和异戊烯基甲醚在氯化胆碱、薄荷醇和甜菜碱基DES中的相对溶解度进行筛选和验证。对于该性质,DES的密度预测最大误差为7.31%。在313 K、30分钟和固液比为1:20(/)的条件下,用DES进行超声辅助提取(UAE),以通过超快速液相色谱(UFLC)分析提取物中的香豆素含量,从而通过实验确认理论溶解度结果。对于结果,香豆素分子在其σ-分布图的非极性区域呈现出强烈的峰,相对溶解度筛选表明以其疏水性和低极性而闻名的DES Men/Lau(2:1)是溶解这些香豆素的最佳DES。然而,UFLC结果以及色素的互补溶解度筛选表明,这种DES与叶绿素的相互作用偏好而非与香豆素的相互作用偏好。紫外-可见分光光度法对提取物的分析证实了这一结果,表明在提取过程中实验验证仍然是必不可少的,并且像COSMO-RS这样的预测方法应该用作指导工具,并在更大的背景下进行分析,考虑到在模拟开始时植物基质的复杂性。