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作 者:田蜜[1] 李敦禧 钱军[1] 郭霞[1] 曾冬琴[1] TIAN Mi;LI Dunxi;QIAN Jun;GUO Xia;ZENG Dongqin(Institute of Forestry Science,Hainan Province,Haikou 571100,China)
出 处:《华中师范大学学报(自然科学版)》2018年第5期661-667,共7页Journal of Central China Normal University:Natural Sciences
基 金:海南省重点研发计划项目(ZDYF2017030)
摘 要:为了寻找新的天然抗氧化物,采用单因素试验、中心复合旋转设计和响应面法优化提取腺叶桂樱叶的总酚、总黄酮含量,并测试其DPPH自由基清除活性.结果表明最佳提取条件是60%乙醇,提取温度为48℃,提取时间为4d;该条件下,总酚含量、总黄酮含量分别为404.73μg GAE/g DW,870.37μg RE/g DW,DPPH的清除率为32.46%.该条件下试验值与预测值之间的相对误差低于5%,由此表明通过响应面法建立的二阶多项式模型可行.由此表明腺叶桂樱叶的乙醇提取物有较好的抗氧化活性.In order to search for a new natural antioxidant,the total polyphenols,flavonoids and DPPH radical scavenging activity from Laurocerasus phaeosticta leaves were determined based on the single factor experiment method,central composite design and the response surface methodology.The results showed that the optimum extraction conditions was 60%alcohol with extraction temperature of 48℃and extraction time of 4 d.In the above conditions,the total polyphenol content,total flavonoids content were 404.73μg GAE g/g DW and 870.37μg RE/g DW,respectively.DPPH radical scavenging rate was 32.46%.The relative error between the tested value and the predicted value was less than 5%,which indicated that the second-order polynomial model established by the response surface method was effective.Thus,it showed that the ethanolic extraction of Laurocerasus phaeosticta leaves had good antioxidant activity.
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