摘要
油橄榄叶多采用乙醇或甲醇提取,该研究选择水为提取溶剂,比较水提物和醇提物有效成分及抗氧化活性的差异。分别以水、44%乙醇及80%甲醇为溶剂超声提取油橄榄叶,测定总多酚、总黄酮、羟基酪醇及橄榄苦苷含量,比较各提取物对DPPH·、ABTS+·及羟基自由基的清除率与还原力。采用SPSS19.0软件进行主成分分析,评价各成分含量与抗氧化指标的相关性;经降维因子分析,找到代表提取物特征的主成分,根据特征值和方差贡献率计算主成分总分,水提物、乙醇提取物和甲醇提取物的得分分别为249.87、-136.89及-112.98。试验结果表明,油橄榄叶水提物有效成分含量及抗氧化活性显著优于醇提物,具有进一步开发为产品的潜力。
Ethanol or methanol was often employed to extract olive leaves. Water was adopted as the extraction solvent and the difference in active components and antioxidant strength was evaluated. Olive leaves were extracted by ultrasound treatment with water, 44 % ethanol, and 80 % methanol, respectively. The content of total polyphenols, total flavonoids, hydroxytyrosol, and oleuropein in the extracts were determined. The scavenging rates of the extracts against DPPH·, ABTS+·, hydroxyl free radicals, as well as the reducing power, were compared. Principle component analysis was conducted with SPSS19.0 software to assess the correlation relationship between the active components and antioxidant activity. By dimensionality reduction analysis, the principle components representing the extracts were obtained and the total scores of principle components were calculated based on the characteristic values and contributory rates to variance. The total score of water extract, ethanol extract, and methanol extract was 249.87,-136.89 and -112.98, respectively. The results implied that the water extract from olive leaves was superior in active ingredients and antioxidant activity over ethanol and methanol extracts. It had great potential to be developed into market products.
作者
郭晓强
曹敏
梁立
陈芳
姚倩
GUO Xiao-qiang;CAO Min;LIANG Li;CHEN Fang;YAO Qian(School of Pharmacy and Biological Engineering,Chengdu University,Chengdu 610106,Sichuan,China;Sichuan Industrial Institute of Antibiotics,Chengdu University,Chengdu 610106,Sichuan,China)
出处
《食品研究与开发》
CAS
北大核心
2019年第10期26-31,共6页
Food Research and Development
基金
四川省科技厅应用基础研究重点项目(2018JY0376)
关键词
油橄榄叶
提取
溶剂
有效成分
抗氧化活性
主成分分析
olive leaf
extract
solvent
active components
antioxidant activity
principle component analysis
