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Optimization of ultrasound-assisted extraction of bioactive compounds from acerola waste

机译:优化acerola废物中的超声辅助提取生物活性化合物的优化

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摘要

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 degrees 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.
机译:Acerola(Malpighia Emarginata D.C.)的工业加工产生了大量的废料,这些废料严重丢弃或被低估。尽管如此,Acerola废物具有高含量的抗氧化化合物。这项工作的目的是使用超声辅助萃取研究来自Acerola残基的抗氧化化合物的提取。使用多元回归技术,乙醇浓度在总酚类含量(C),提取时间(T),温度(T)和液态比(R)上的乙醇浓度在总酚含量,总黄酮含量和抗氧化剂潜力中的影响是调查。使用期望函数识别最佳提取条件,这是一种多响应优化技术。最佳加工参数为乙醇浓度的67.5%,温度为80.9℃,液体/实心比为59.8ml / g,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。基于结果,Acerola废物具有更好的潜力,以更好地使用,例如食品和药物应用。

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