基于GC-IMS分析白木香花、叶和茶的挥发性成分差异

    Analysis of Differences in Volatile Components of Aquilaria sinensis Flowers, Leaves and Tea Based on GC-IMS

    • 摘要:
      目的 白木香为我国特有珍稀药用植物,其树脂器官(沉香)资源稀缺,但花、叶等非树脂器官资源丰富。旨在分析白木香花、叶和加工品(茶)挥发性成分差异,明确器官特性与加工工艺对挥发性成分的影响机制,为白木香资源差异化开发提供支撑。
      方法 以同一植株来源的白木香花、叶为原料,并按传统乌龙茶工艺制成白木香茶;采用GC-IMS技术检测白木香花、叶和茶的挥发性成分,并优化顶空与色谱条件,结合LAV软件、Clustvis平台对挥发性成分峰体积数据进行成分定性、主成分分析(PCA)。
      结果 利用GC-IMS技术从白木香花、叶和茶中共检出90种挥发性成分(83种已知),以酯类(24.10%)、醇类(21.69%)为主,醛类(18.07%)、酮类(14.46%)次之,检出数量较GC-MS技术提取提升30%,且可区分2-己烯醛、壬醛等同分异构体。白木香花的挥发性成分以叔丁醇、壬醛等短链醛醇类为主;叶富含2-己烯醛、乙硫醚等绿叶挥发物;茶富集(E, E)-2, 4-庚二烯醛二聚体、2-乙基-3-甲基吡嗪等热加工衍生成分。主成分分析中,主成分1与主成分2的累计贡献率达93.8%,可有效区分白木香花、叶和茶,实现3类样品的快速鉴别。
      结论 GC-IMS技术在白木香挥发性成分检测中优势显著,检出效率优于GC-MS。该研究明确白木香花(天然花香香精)、叶(草本茶饮)、茶(功能性茶饮)的差异化开发方向,为白木香非树脂器官高效利用及药用植物成分精准分析提供科学依据与技术路线。

       

      Abstract:
      Objective Aquilaria sinensis is a rare and endemic medicinal plant in China. While its agarwood resources are scarce, non-resinous organs such as flowers and leaves are abundant. The aim is to analyze the differences in volatile components of the flowers, leaves and processed products (tea) of A. sinensis, clarify the influence mechanism of organ characteristics and processing techniques on volatile components, and provide support for the differentiated development of A. sinensis resources.
      Method Flowers and leaves from the same A. sinensis plant were used as raw materials, and A. sinensis tea was prepared via the traditional Oolong tea process. GC-IMS was employed to detect the volatile components of A. sinensis flowers, leaves, and tea with optimized headspace and chromatographic conditions. Combined with LAV software and the Clustvis platform, qualitative analysis of components and principal component analysis (PCA) were performed based on the peak volume data of volatile components.
      Result A total of 90 volatile components (83 known ones) were detected from A. sinensis flowers, leaves, and tea samples using GC-IMS technology, mainly including esters (24.10%), alcohols (21.69%), followed by aldehydes (18.07%) and ketones (14.46%). The number of detected components was 30% higher than that extracted by GC-MS technology, and isomers such as 2-hexenal and nonanal could be distinguished. The volatile components of A. sinensis flowers were dominated by short-chain aldehydes and alcohols such as tert-butanol and nonanal; leaves were rich in green leaf volatiles including 2-hexenal and diethyl sulfide; tea was enriched with heat-processed derived components such as (E, E)-2, 4-heptadienal dimer and 2-ethyl-3-methylpyrazine. In the PCA, the cumulative contribution rate of principal component 1 and principal component 2 reached 93.8%, which could effectively distinguish A. sinensis flowers, leaves, and tea, realizing the rapid identification of the three types of samples.
      Conclusion GC-IMS technology has significant advantages in the detection of volatile components of A. sinensis, with higher detection efficiency than GC-MS. This study clarifies the differentiated development directions of A. sinensis: flowers for natural floral essence, leaves for herbal tea, and tea for functional tea. It provides a scientific basis and technical route for the efficient utilization of non-resinous organs of A. sinensis and the accurate analysis of medicinal plant components.