The current work deals with ultrasound-assisted extraction (UAE) of the total phenolic compounds (TPC) from A. indica (Neem) leaves powder. Various process parameters have been optimized, including solvent screening, solid/solvent ratio, extraction temperature, particle size, power input, duty cycle, and sound wave frequency. The highest TPC yield of 11.87 mg of GA/g of powder was obtained at a time of 14 min, 70% ethanol as solvent, solid to solvent ratio of 1:30, particle size of 0.2–0.3 mm, extraction temperature of 40ºC, power input of 90 W, and duty cycle of 50%. The experimental outcomes obtained from the UAE have been matched with stirred batch and Soxhlet extraction of TPC, which shows that ultrasound, was relatively better than the traditional method. The UAE method has efficiently decreased the extraction time (14 min) and marginally improved the TPC yield from A. indica leaves. Further, Peleg's mathematical model was studied for the extraction kinetics and to calculate the predicted extraction values of the rate constant, initial rate, and equilibrium concentration for all investigational circumstances. The predicted values obtained from Peleg's mathematical model show a good fit with experimental outcomes.

目前的工作涉及从A. indica中提取总酚类化合物 (TPC) 的超声辅助提取 (UAE)（印楝）叶粉。各种工艺参数已经过优化，包括溶剂筛选、固体/溶剂比、萃取温度、粒度、功率输入、占空比和声波频率。在 14 分钟内获得最高 TPC 产量 11.87 mg GA/g 粉末，溶剂为 70% 乙醇，固溶比为 1:30，粒径为 0.2-0.3 mm，提取温度为 40ºC，功率输入为 90 W，占空比为 50%。从阿联酋获得的实验结果与搅拌批次和索氏提取 TPC 相匹配，这表明超声波相对优于传统方法。阿联酋方法有效地缩短了提取时间（14 分钟）并略微提高了A. indica的 TPC 产量树叶。此外，研究了 Peleg 的数学模型的提取动力学，并计算了所有研究情况下速率常数、初始速率和平衡浓度的预测提取值。从 Peleg 的数学模型中获得的预测值与实验结果非常吻合。