The industrial processing of acerola (Malpighia emarginata D.C.) produces huge quantities of waste material that are badly discarded or undervalued. In spite of this, acerola wastes have a high content of antioxidant compounds. The aim of this work was to study the extraction of antioxidant compounds from acerola residues using ultrasound assisted extraction. Using multiple regression techniques, the effects of ethanol concentration in the hydroethanolic solution (C), extraction time (t), temperature (T), and liquid–solid ratio (R) on the total phenolic content, total flavonoid content and antioxidant potential were investigated. The best extraction conditions were identified using the desirability function, which is a multi-response optimization technique. The optimal processing parameters were 67.5% of ethanol concentration, temperature of 80.9 °C, liquid/solid ratio of 59.8 mL/g, and extraction time of 13.6 min. HPLC–UV has been used to identify the main antioxidant compounds obtained under these optimal condition. Based on the results, acerola waste has high potential for better use, such as in food and pharmaceutical applications.

针叶樱桃（Malpighia emarginata）的工业加工DC) 会产生大量被严重丢弃或低估的废料。尽管如此，针叶樱桃废料的抗氧化化合物含量很高。这项工作的目的是研究使用超声波辅助提取法从针叶樱桃残留物中提取抗氧化化合物。使用多元回归技术，水乙醇溶液中的乙醇浓度 (C)、提取时间 (t)、温度 (T) 和液固比 (R) 对总酚含量、总黄酮含量和抗氧化潜力的影响为调查。使用合意性函数确定最佳提取条件，这是一种多响应优化技术。最佳工艺参数为乙醇浓度67.5%，温度80.9℃，液固比59.8 mL/g，和提取时间为 13.6 分钟。HPLC-UV 已用于鉴定在这些最佳条件下获得的主要抗氧化化合物。根据结果​​，针叶樱桃废料具有更好的利用潜力，例如在食品和制药应用中。