WU Hong,LUO Zhongsheng,LUO Zongqian,et al.Analysis of Antioxidant Activity and Antioxidant Profile of Rosa roxburghii Tratt From 17 Origins in Guizhou Province[J].Northern Horticulture,2023,(20):94-101.[doi:10.11937/bfyy.20230723]
贵州十七个产地刺梨抗氧化活性及抗氧化物质分析
- Title:
- Analysis of Antioxidant Activity and Antioxidant Profile of Rosa roxburghii Tratt From 17 Origins in Guizhou Province
- 文章编号:
- 1001-0009(2023)20-0094-08
- Keywords:
- Rosa roxburghii; antioxidant activity; antioxidant substances; principal component analysis; cluster analysis
- 分类号:
- S 567.9
- 文献标志码:
- A
- 摘要:
- 以贵州17个产地的刺梨为试材，采用相关性分析、主成分分析和聚类分析等方法，研究了不同产地刺梨中的总多酚、总三萜、总黄酮、维生素C、总多糖、超氧化物歧化酶（SOD）等抗氧化物质含量对刺梨抗氧化活性的影响，以期为刺梨良种选育、刺梨抗氧化高质化产品开发提供参考依据。结果表明：大部分刺梨样品间的抗氧化物质含量和抗氧化活性差异显著(P<0.05)；总多酚、总三萜含量与刺梨抗氧化作用有极显著相关性（P<0.01），各活性物质对刺梨抗氧化作用影响排序为总多酚>总三萜>总黄酮>维生素C>多糖≈SOD；S11综合得分排名第一，其它综合评分依次为S3、S16、S17、S4、S2、S9、S12、S1；当平均欧氏距离大于5小于10时，可将刺梨样品聚为3类，与主成分分析结果基本保持一致。
- Abstract:
- Rosa roxburghii from 17 producing areas in Guizhou was taken as the test matterial.The effects of antioxidant substances such as total polyphenols，total triterpenes，total flavonoids，vitamin C，total polysaccharides，and superoxide dismutase (SOD) on the antioxidant activity of Rosa roxburghii from 17 different production areas in Guizhou were studied using methods such as correlation analysis，principal component analysis，and cluster analysis,in order to provide reference for the breeding of Rosa roxburghii varieties and the development of high-quality antioxidant Rosa roxburghii products.The results showed that the antioxidant content and antioxidant activity of most Rosa roxburghii samples were significantly different (P<0.05).The content of total polyphenols and total triterpenes had a highly significant correlation with the antioxidant effect of Rosa roxburghii Tratt (P<0.01),and the order of the effect of each active substance on the antioxidant effect of Rosa roxburghii Tratt was total polyphenols>total triterpenes>total flavonoids>vitamin C>polysaccharides≈SOD;the rank of the comprehensive score of S11 was the 1st，and the other comprehensive scores in higher order were S3，S16，S17，S4，S2，S9，S12，S1.When the average euclidean distance was greater than 5 less than 10，the pinprick samples could be clustered into three classes，in general agreement with the principal component analysis results.
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备注/Memo
第一作者简介：吴红(1998-)，女，硕士，研究实习员，现主要从事中药资源保护与应用等研究工作。E-mail：3075331801@qq.com.责任作者：覃容贵（1971-），女，博士，教授，现主要从事中药资源保护与应用等研究工作。E-mail：1346812934@qq.com.基金项目：贵州省科技支撑资助项目（黔科合支撑［2023］一般472号）；贵州省工信厅刺梨专项资助项目（黔财农［2019］261号，黔财农［2020］307号）；贵州省教育厅高等学校特色重点实验室资助项目（黔教合KY字［2020］018号）；贵州省科技创新能力建设专项资助项目（黔科合服企［2020］4013）；国家级大学生创新创业训练计划资助项目（202010660010）；贵州省科技计划资助项目（黔科合基础-2K［2022］一般445号）。收稿日期：2023-03-07