| GC-MS结合保留指数分析轮钟花根的挥发性成分 |
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| 引用本文： | 王建霞,刘一涵,田云刚,郭洪伟,李明,毕绍文,魏华.GC-MS结合保留指数分析轮钟花根的挥发性成分[J].吉首大学学报(自然科学版),2020,41(4):62-67. |
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| 作者姓名： | 王建霞 刘一涵 田云刚 郭洪伟 李明 毕绍文 魏华 |
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| 作者单位： | （1.吉首大学生物资源与环境科学学院，湖南 吉首 416000；2.曲靖市沾益区万远中药材种植农民专业合作社，云南 曲靖 655000；3.湖南省土家医药研究中心，湖南 吉首 416000） |
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| 基金项目： | 国家自然科学基金;吉首大学森林生态系统观测研究生培养创新基地资助项目;湖南省土家医药研究中心开放项目;吉首大学校级项目 |
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| 摘 要： | 采用气相色谱-质谱技术(GC-MS)结合保留指数(RI)对不同方法提取的轮钟花根挥发性成分进行分析，结果表明：轮钟花根的挥发性成分以酸类、烃类、酯类和醇类为主,确定为76种化合物，其中，水蒸气蒸馏法、索式提取法和超声辅助萃取法各确定根中24，45，39种化合物，三种方法提取的质量分数最高的成分均为亚油酸.
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| 关 键 词： | 轮钟花 挥发性成分 GC-MS 保留指数 |
Analysis on Volatile Components in Roots of Cyclocodon lancifolius (Roxburgh) Kurz by GC-MS Combined with Retention Index |
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| WANG Jianxia,LIU Yihan,TIAN Yungang,GUO Hongwei,LI Ming,BI Shaowen,WEI Hua.Analysis on Volatile Components in Roots of Cyclocodon lancifolius (Roxburgh) Kurz by GC-MS Combined with Retention Index[J].Journal of Jishou University(Natural Science Edition),2020,41(4):62-67. |
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| Authors: | WANG Jianxia LIU Yihan TIAN Yungang GUO Hongwei LI Ming BI Shaowen WEI Hua |
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| Institution: | (1. College of Biology and Environmental Science, Jishou University, Jishou 416000, Hunan China； 2. Wanyuan Farmers' Cooperative of Chinese Herbal Medicine Planting, Zhanyi District, Qujing 655000, Yunnan China； 3. Tujia Medicine Research Center, Jishou 416000, Hunan China) |
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| Abstract: | The volatile components of roots in Cyclocodon lancifolius (Roxburgh) Kurz were extracted by steam distillation, soxhlet extraction and ultrasound-assisted extraction respectively, and were analyzed by GC-MS combined with retention index. The results showed that the main volatile components of the roots are of acids, hydrocarbons, esters, and alcohols, altogether 76 kinds identified. Among them, 24, 45 and 39 kinds of volatile components were identified respectively by steam distillation, soxhlet extraction, and ultrasound-assisted extraction, and the component with the highest mass fraction was identified to be linoleic acid. |
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| Keywords: | Cyclocodon lancifolius (Roxburgh) Kurz volatile components GC-MS retention index |
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