This work offered a productive technique for resveratrol extraction from () using ionic liquids in synergy with ultrasound-enzyme-assisted extraction (UEAE). Firstly, ionic liquids with different carbon chains and anions were evaluated. Subsequently, a comprehensive investigation was carried out to evaluate the effect of seven crucial parameters on the resveratrol yield: pH value, enzyme concentration, extraction temperature, extraction time, ultrasonic power, concentration of ionic liquid (IL concentration) and the liquid–solid ratio. Employing the Plackett-Burman Design (PBD), the critical factors were effectively identified. Building upon this foundation, the process was further optimized through the application of Response Surface Methodology (RSM) and an Artificial Neural Network-Genetic Algorithm (ANN-GA). The following criteria were determined to be the ideal extraction conditions: an enzyme concentration of 2.18%, extraction temperature of 58 °C, a liquid–solid ratio of 29 mL/g, pH value of 5.5, extraction time of 30 min, ultrasonic power of 250 W, and extraction solvent of 0.5 mol/L 1-butyl-3-methylimidazolium bromide. Under these conditions, the resveratrol yield was determined to be 2.90 ± 0.15 mg/g. Comparative analysis revealed that the ANN-GA model provided a better fit to the experimental data of resveratrol yield than the RSM model, suggesting superior predictive capabilities of the ANN-GA approach. The introduction of a novel green solvent system in this experiment not only simplifies the extraction process but also enhances safety and feasibility. This research paves the way for innovative approaches to extracting resveratrol from botanical sources, showcasing its significant potential for a wide range of applications.

中文翻译：

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离子液体超声酶辅助提取虎杖白藜芦醇工艺条件优化


这项工作提供了一种使用离子液体与超声酶辅助提取 (UEAE) 协同从 () 中提取白藜芦醇的高效技术。首先，对具有不同碳链和阴离子的离子液体进行了评估。随后，综合考察了pH值、酶浓度、提取温度、提取时间、超声功率、离子液体浓度（IL浓度）和液固比7个关键参数对白藜芦醇得率的影响。 。采用 Plackett-Burman 设计 (PBD)，有效识别了关键因素。在此基础上，通过应用响应面方法（RSM）和人工神经网络遗传算法（ANN-GA）进一步优化该过程。确定理想提取条件为：酶浓度2.18%，提取温度58℃，液固比29mL/g，pH值5.5，提取时间30min，超声功率250W，萃取溶剂0.5mol/L 1-丁基-3-甲基溴化咪唑鎓。在这些条件下，白藜芦醇产量测定为 2.90 ± 0.15 mg/g。比较分析表明，ANN-GA 模型比 RSM 模型更适合白藜芦醇产量的实验数据，表明 ANN-GA 方法具有优越的预测能力。本实验引入新型绿色溶剂体系，不仅简化了提取过程，而且提高了安全性和可行性。这项研究为从植物来源提取白藜芦醇的创新方法铺平了道路，展示了其广泛应用的巨大潜力。