College of Forestry, Northwest Agriculture and Forestry University, Xianyang 712100, China.
Research Center for the Conservation and Breeding Engineering of Ancient Trees, Xianyang 712100, China.
Molecules. 2023 Feb 22;28(5):2043. doi: 10.3390/molecules28052043.
To gain insight into the differences in the composition and volatile components content in ancient leaves with different tree ages in Huangdi Mausoleum, the volatile components were identified by headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME-GC-MS) method. The volatile components were statistically analyzed by orthogonal partial least squares discriminant analysis and hierarchical cluster analysis, and the characteristic volatile components were screened. The results exhibited that a total of 72 volatile components were isolated and identified in 19 ancient leaves with different tree ages, and 14 common volatile components were screened. Among them, the contents of α-pinene (6.40-16.76%), sabinene (1.11-7.29%), 3-carene (1.14-15.12%), terpinolene (2.17-4.95%), caryophyllene (8.04-13.53%), α-caryophyllene (7.34-14.41%), germacrene D (5.27-12.13%), (+)-Cedrol (2.34-11.30%) and α-terpinyl acetate (1.29-25.68%) were relatively higher (>1%), accounting for 83.40-87.61% of the total volatile components. Nineteen ancient trees were clustered into three groups through the HCA method based on the 14 common volatile components content. Combined with the results of OPLS-DA analysis, (+)-cedrol, germacrene D, α-caryophyllene, α-terpinyl acetate, caryophyllene, β-myrcene, β-elemene and epiglobulol were the differential volatile components to distinguish ancient with different tree ages. The results revealed that the composition of the volatile components in ancient leaves with different tree ages was different, showing different aroma characteristics, which provided a theoretical reference for the differential development and application of volatile components in ancient leaves.
为了深入了解黄帝陵不同树龄古柏叶的组成和挥发性成分含量的差异,采用顶空固相微萃取结合气相色谱-质谱联用(HS-SPME-GC-MS)法对其挥发性成分进行了鉴定。采用正交偏最小二乘判别分析和层次聚类分析对挥发性成分进行了统计分析,并筛选出特征挥发性成分。结果表明,在 19 片不同树龄的古柏叶中共分离鉴定出 72 种挥发性成分,筛选出 14 种共有挥发性成分。其中,α-蒎烯(6.40-16.76%)、β-蒎烯(1.11-7.29%)、3-蒈烯(1.14-15.12%)、萜品烯醇(2.17-4.95%)、石竹烯(8.04-13.53%)、α-石竹烯(7.34-14.41%)、杜松烯 D(5.27-12.13%)、(+)-雪松醇(2.34-11.30%)和α-萜品醇乙酸酯(1.29-25.68%)含量相对较高(>1%),占总挥发性成分的 83.40-87.61%。基于 14 种共有挥发性成分的含量,通过 HCA 法将 19 株古柏聚类为 3 组。结合 OPLS-DA 分析结果,(+)-雪松醇、杜松烯 D、α-石竹烯、α-萜品醇乙酸酯、石竹烯、β-月桂烯、β-榄香烯和表环橄榄醇是区分不同树龄古柏的差异挥发性成分。结果表明,不同树龄古柏叶的挥发性成分组成不同,表现出不同的香气特征,为古柏叶挥发性成分的差异开发和应用提供了理论参考。