Abstract：
Mesona chinensis Benth (MCB) is the source of the most commonly consumed herbal beverage in Southeast Asia and China and is thus an economically important agricultural plant. Therefore, optimal extraction and production procedures have significant commercial value. Currently, in terms of green chemistry, researchers are investigating the use of greener solvents and innovative extraction techniques to increase extract yields. This study represents the first investigation of the optimal conditions for ultrasound-assisted deep eutectic solvent (DES) extraction from MCB. The major factors influencing ultrasound-assisted DESs were optimized using the response surface methodcentral-genetic algorithm-back propagation neural networks. This model demonstrated superior predictability and accuracy compared to the RSM model. Various types of DESs were used for the extraction of MCB constituents, with choline chloride-ethylene glycol resulting in the highest yield. The optimal conditions for maximal extraction were the use of choline chloride-ethylene glycol (1:4) as the solvent with a 40% water content, an extraction duration of 60 min at 60°C, and maintaining a leaf-to-solvent ratio of 20 mL/g. Noticeable enhancements in Van der Waals forces and more robust interactions between DESs and the target chemicals were observed relative to those seen with ethanol (70%, v/v) or water. This investigation not only introduced an environmentally friendly approach for highly efficient extraction from MCB but also identified the mechanisms underlying the improved extraction efficacy. These findings have the potential to contribute to the broader utilization of MCB and provide valuable insights into the extraction mechanisms utilizing deep eutectic solvents. PRACTICAL APPLICATION: This work describes an efficient and green ultrasound-assisted deep eutectic solvent (DES) method for Mesona chinensis Benth (MCB) extraction. Molecular dynamics was used to examine the intermolecular interactions between the solvent and the extracted compounds. It is anticipated that green and environmentally friendly solvents, such as DESs, will be used in further research on foods and their bioactive components. With the development of the herbal tea industry, new products made of MCB are becoming increasingly popular, thus gradually making it a research hotspot.
摘要：
MesonachinensisBenth（MCB）是东南亚和中国最常用的草药饮料的来源，因此是经济上重要的农业植物。因此,优化的提取和生产程序具有显著的商业价值。目前,在绿色化学方面，研究人员正在研究使用更环保的溶剂和创新的提取技术，以提高提取物的产量。这项研究代表了对从MCB中超声辅助的低共熔溶剂（DES）萃取的最佳条件的首次研究。利用响应面法中心-遗传算法-反向传播神经网络对影响超声辅助DES的主要因素进行了优化。与RSM模型相比，该模型具有更高的可预测性和准确性。各种类型的DES用于MCB成分的提取，与氯化胆碱-乙二醇产生最高的产量。最大提取的最佳条件是使用氯化胆碱-乙二醇（1：4）作为水含量为40％的溶剂，在60°C下提取60分钟，并且保持叶与溶剂的比率为20mL/g。相对于使用乙醇观察到的那些，观察到范德华力的显著增强和DES和目标化学物质之间更稳健的相互作用(70%，v/v)或水。该研究不仅引入了从MCB高效提取的环境友好的方法,而且还确定了改进提取功效的潜在机制。这些发现有可能有助于MCB的更广泛利用，并为利用低共熔溶剂的提取机制提供有价值的见解。实际应用：这项工作描述了一种有效的绿色超声辅助的低共熔溶剂（DES）方法，用于MesonachinensisBenth（MCB）提取。分子动力学用于检查溶剂与提取的化合物之间的分子间相互作用。预计绿色环保溶剂，例如DES，将用于食品及其生物活性成分的进一步研究。随着凉茶产业的发展,由MCB制成的新产品越来越受欢迎，逐渐成为研究热点。
