杉木叶挥发性成分的GC−MS指纹图谱构建

Establishment of GC−MS Fingerprint of Volatile Components in the Leaves of Cunninghamia lanceolata

  • 摘要: 为建立杉木叶挥发性成分的GC−MS指纹图谱,以37批杉木叶为原料,采用蒸馏−萃取法结合GC−MS联用技术,构建了杉木叶挥发性成分的指纹图谱。结果表明:杉木叶中鉴定出140种挥发性成分,其中的主要成分为β−桉叶烯、α−蒎烯、氧化石竹烯、β−榄香烯、环封莰烯和3−蒈烯等。由30个共有成分构成的杉木叶挥发性成分标准指纹图谱,主成分分析和聚类分析结果一致,可有效区分不同产地的杉木叶挥发性成分,为杉木叶的快速溯源提供参考。

     

    Abstract: GC-MS fingerprint of volatile components of Cunninghamia lanceolata leaves was established to provide a reference for rapid traceability of C. lanceolata leaves. Thirty-seven batches of C. lanceolata leaves was analyzed by simultaneous distillation-extraction method combined with GC−MS technology. A total of 140 volatile components were identified from the C. lanceolata leaves, in which β−calyptene, α-pinene, epoxycaryophyllene, β−elemene, cyclocamphene and 3−carene were the main components. The standard fingerprint of volatile components of C. lanceolata leaves consisted of 30 common chromatographic peaks. The results of principal component analysis and cluster analysis were consistent, which could effectively distinguish the volatile components of C. lanceolata leaves from different producing regions. GC−MS fingerprint combines with similarity evaluation and chemical pattern recognition can clarify the differences of the volatile components of C. lanceolata leaves in different regions, which can provide a reference for rapid traceability of C. lanceolata leaves.

     

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