The objective of this study was to investigate the extraction efficiency of 9 natural deep eutectic solvents (NDES) with the assistance of ultrasound for phenolic acids, flavonols, and flavan-3-ols in muscadine grape (Carlos) skins and seeds in comparison to 75% ethanol. Artificial neural networking (ANN) was applied to optimize NDES water content, ultrasonication time, solid-to-solvent ratio, and extraction temperature to achieve the highest extraction yields for ellagic acid, catechin and epicatechin. A newly formulated NDES (#1) consists of choline chloride: levulinic acid: ethylene glycol 1:1:2 and 20% water extracted the highest amount of ellagic acid in the skin at 22.1 mg/g. This yield was 1.73-fold of that by 75% ethanol. A modified NDES (#3) consisting of choline chloride: proline: malic acid 1:1:1 and 30% water extracted the highest amount of catechin (0.61 mg/g) and epicatechin (0.89 mg/g) in the skin, and 2.77 mg/g and 0.37 mg/g in the seed, respectively. The optimal yield of ellagic acid in the skin using NDES #1 was 25.3 mg/g (observed) and 25.3 mg/g (predicted). The optimal yield of (catechin + epicatechin) in seed using NDES #3 was 9.8 mg/g (observed) and 9.6 mg/g (predicted). This study showed the high extraction efficiency of selected NDES for polyphenols under optimized conditions.

本研究的目的是研究 9 种天然低共熔溶剂 (NDES) 在超声辅助下对圆叶葡萄中酚酸、黄酮醇和黄烷-3-醇的提取效率 ( Carlos) 皮和种子与 75% 乙醇相比。应用人工神经网络 (ANN) 优化 NDES 含水量、超声处理时间、固溶比和提取温度，以实现鞣花酸、儿茶素和表儿茶素的最高提取率。一种新配方的 NDES (#1) 由氯化胆碱：乙酰丙酸：乙二醇 1:1:2 和 20% 的水组成，在皮肤中提取的鞣花酸含量最高，为 22.1 mg/g。该产率是 75% 乙醇的 1.73 倍。由氯化胆碱：脯氨酸：苹果酸 1:1:1 和 30% 水组成的改良 NDES (#3) 在皮肤中提取的儿茶素 (0.61 mg/g) 和表儿茶素 (0.89 mg/g) 含量最高，并且种子中分别为 2.77 mg/g 和 0.37 mg/g。使用 NDES #1 时皮肤中鞣花酸的最佳产量为 25.3 mg/g（实测值）和 25。3 毫克/克（预计）。使用 NDES #3 在种子中（儿茶素 + 表儿茶素）的最佳产量为 9.8 mg/g（观察到）和 9.6 mg/g（预测）。本研究表明，在优化条件下，所选 NDES 对多酚的提取效率很高。