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超声辅助从针叶樱桃果渣中提取生物活性化合物的工艺优化。

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

作者信息

Silva Priscila B, Mendes Lorena G, Rehder Ana P B, Duarte Claudio R, Barrozo Marcos A S

机构信息

Federal Center of Technological Education of Minas Gerais, Campus Timóteo, Timóteo, MG Brazil.

Faculty of Chemical Engineering, Federal University of Uberlândia, Uberlândia, MG Brazil.

出版信息

J Food Sci Technol. 2020 Dec;57(12):4627-4636. doi: 10.1007/s13197-020-04500-8. Epub 2020 May 7.

Abstract

The industrial processing of acerola ( 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.

摘要

针叶樱桃(D.C.)的工业加工产生了大量被随意丢弃或未得到充分重视的废料。尽管如此,针叶樱桃废料中抗氧化化合物的含量很高。这项工作的目的是研究使用超声辅助提取法从针叶樱桃残渣中提取抗氧化化合物。运用多元回归技术,研究了乙醇水溶液中的乙醇浓度(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。使用合意函数(一种多响应优化技术)确定了最佳提取条件。最佳工艺参数为乙醇浓度67.5%、温度80.9℃、液固比59.8 mL/g、提取时间13.6分钟。高效液相色谱-紫外检测法已用于鉴定在这些最佳条件下获得的主要抗氧化化合物。基于这些结果,针叶樱桃废料在食品和制药应用等方面有更好利用的巨大潜力。

相似文献

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Optimization of ultrasound-assisted extraction of bioactive compounds from acerola waste.
J Food Sci Technol. 2020 Dec;57(12):4627-4636. doi: 10.1007/s13197-020-04500-8. Epub 2020 May 7.

本文引用的文献

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