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4种沉香树叶片挥发油化学成分GC-MS分析
引用本文:刘欣怡,王雅丽,王昊,王露露,梅文莉,戴好富,王军.4种沉香树叶片挥发油化学成分GC-MS分析[J].热带作物学报,2022,43(1):196-206.
作者姓名:刘欣怡  王雅丽  王昊  王露露  梅文莉  戴好富  王军
作者单位:1.海南大学林学院,海南海口 5702282.中国热带农业科学院热带生物技术研究所,海南海口 5711013.海南沉香工程技术研究中心/海南省黎药资源天然产物研究与利用重点实验室,海南海口 571101
基金项目:2019年海南省重点研发计划科技合作方向项目(No.ZDYF2019203);2020年中央财政林业技术科技推广示范资金项目(琼[2020]TG05)。
摘    要:比较3个白木香良种'热科1号'(Aquilaria sinensis' Reke 1')、'热科2号'(A.sinensis' Reke 2')、'热科3号'(A.sinensis' Reke 3')及国外引种的印度沉香(A.agallocha Roxb.)植物叶片挥发油成分的异同,旨在为其进一步开发利用提供依据.采用...

关 键 词:白木香良种  印度沉香  叶片挥发油  GC-MS分析
收稿时间:2021-07-06

GC-MS Analysis of Chemical Constituents of Volatile Oil from Four Kinds of Agarwood Tree Leaves
LIU Xinyi,WANG Yali,WANG Hao,WANG Lulu,MEI Wenli,DAI Haofu,WANG Jun.GC-MS Analysis of Chemical Constituents of Volatile Oil from Four Kinds of Agarwood Tree Leaves[J].Chinese Journal of Tropical Crops,2022,43(1):196-206.
Authors:LIU Xinyi  WANG Yali  WANG Hao  WANG Lulu  MEI Wenli  DAI Haofu  WANG Jun
Institution:1. College of Forestry, Hainan University, Haikou, Hainan 570228, China2. Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China3. Hainan Agarwood Engineering Technology Research Center / Hainan Key Laboratory of Research and Development of Natural Product from Li Folk Medicine, Haikou, Hainan 571101, China
Abstract:To analyze the similarities and differences of the volatile oil constituents from the leaves of three improved varieties of Aquilaria sinensis (Lour.) Spreng, A. sinensis ‘Reke 1’, A. sinensis ‘Reke 2’, A. sinensis ‘Reke 3’ and a introduced foreign species A. agallocha Roxb., which could provide a basis for further development and utilization. The volatile oil from the leaves were extracted by steam distillation, and its components were analyzed by gas chromatography-mass spectrometry (GC-MS) to obtain total ion flow diagrams. Through the Date Analysis Chemistry workstation and combined with NIST2005 and WILEY275 mass spectrometry libraries and previous identification methods, the detected chromatographic peaks were retrieved and analyzed manually. The peak area normalization method was used to determine the relative content of each chemical constituent, and the statistical data were compared and analyzed. There were only 5 common components in the volatile oil from the leaves of the three improved varieties of A. sinensis and A. agallocha, and the number of unique ingredients accounted for more than half. The content of total relative percentage of terpenes in the volatile oil of the leaves of ‘Reke 1’ (34.44%), ‘Reke 3’ (25.08%) and A. agallocha (37.06%) were higher, while that of ‘Reke 2’ (13.20%) was relatively lower. There were 3 and 8 unique sesquiterpenoids in the volatile oil of ‘Reke 1’and ‘Reke 2’, respectively. The diterpenoids in the volatile oil from the leaves of ‘Reke 2’ (5.03%) were much lower than those of the other three ‘Reke 1’ (19.25%), ‘Reke 3’ (24.18%) and A. agallocha (35.45%)]. The volatile oil of the leaves of ‘Reke 1’ (5.37%) and A. agallocha (1.61%) contained triterpenoids which were not detected in the other two. In conclusion, terpenoids mostly have antibacterial and anti-inflammatory activities, so the volatile oil of the leaves of ‘Reke 1’ ‘Reke 3’ and A. agallocha are more suitable for exploring the functions of medicinal and health-care. The volatile oil of the leaves of A. agallocha which have a high content of diterpenoids with aroma is suitable for exploring its application value in spices and tobacco. The volatile oil of the leaves of ‘Reke 2’ which have a low content of diterpenoids with bitter has a good development potential and application prospect in food and tea. Therefore, the development and utilization of different agarwood leaves and volatile oil should be more targeted to fully tap their value, develop high value-added products, promote the adjustment and upgrading of the agarwood tree planting industry, and promote the development of the agarwood industry.
Keywords:improved varieties of Aquilaria sinensis  A  agallocha  leaves volatile oil  GC-MS analysis
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