HUBEI AGRICULTURAL SCIENCES ›› 2026, Vol. 65 ›› Issue (2): 176-182.doi: 10.14088/j.cnki.issn0439-8114.2026.02.026

• Detection Analysis • Previous Articles     Next Articles

GC-MS analysis of the waxy metabolites of Corydalis saxicola

ZHANG Yi-xuan1,2, HUANG Yan-qi1,2, LEI Ming1, WEI Ying1, XIAO Dong2, LI Cui1   

  1. 1. Guangxi Botanical Garden of Medicinal Plants/National TCM Inheritance and Innovation Center/ Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement/Guangxi Zhuang Autonomous Region Engineering Research Center for the Intelligent Creation of Traditional Chinese Medicine Resources, Nanning 530023, China;
    2. College of Agriculture, Guangxi University/Guangxi Key Laboratory of Agricultural Environment and Agricultural Product Safety/National Experimental Teaching Demonstration Center of Plant Science, Nanning 530004, China
  • Received:2025-09-28 Online:2026-03-04 Published:2026-03-04

Abstract: Taking the leaves of Corydalis saxicola as the research object, the waxy metabolites of Corydalis saxicola were analyzed and identified by gas chromatography-mass spectrography(GC-MS). The results showed that there were significant differences in the composition of waxy metabolites of Corydalis saxicola in the five producing areas. A total of several key differential metabolites were identified, including long-chain alkanes (such as n-29-alkane and n-54-alkane), ketones, sterols (such as γ-oryzanol), and alkaloids (such as tetrahydroberberine). Pathway enrichment analysis revealed that the differential metabolites were significantly enriched in metabolic pathways such as "isoquinoline alkaloid biosynthesis" and "biosynthesis of various secondary metabolites". In addition, bioactive defensive compounds such as podophyllotoxin were also found in the wax. The results provided a scientific basis for quality evaluation and related product development of Corydalis saxicola.

Key words: Corydalis saxicola, differential metabolites, waxy substance, gas chromatography-mass spectrography(GC-MS)

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