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基于GC-MS的代谢组学分析方法,建立了分析不同产地来源的姜科植物姜黄(Curcuma.LongaL)的根茎(中药姜黄)和块根(中药郁金)的次生代谢产物的方法。对样品的提取方法、气相升温条件和方法学进行了考察,确定采用石油醚索氏提取法对样品进行提取。色谱图中主要化合物的精密度为1.2%～5.7%;重现性为2.18%～6.27%;回归系数R2=0.699～0.972。数据处理采用SIMCA-P软件进行主成分(PCA)分析,通过主成分得分图(Score plot)可以明显区分姜黄的根茎及块根样品,说明在根茎和块根中次生代谢产物的表达存在差异;通过载荷图(Loading)和t检验(t-test)发现了14种表达差异显著的化合物。这些化合物可能是姜黄根茎与块根具有不同药性和临床用途的物质基础。
Based on the GC-MS metabonomic analysis method, the methods for the analysis of the secondary metabolites of rhizomes (curcuma longa L.) and tuberous roots (curcuma longa L.) of Curcuma longaL from different origins were established. The extraction methods of samples, gas-phase heating conditions and methodology were investigated to determine the use of petroleum ether Soxhlet extraction of the samples were extracted. The precision of the main compounds in the chromatogram was 1.2% ~ 5.7%. The reproducibility was 2.18% ~ 6.27%. The regression coefficient R2 was 0.699 ~ 0.972. The main components (PCA) were analyzed by SIMCA-P software, and the root and stem samples of turmeric were clearly distinguished by Score plot, which indicated that there was difference in the expression of secondary metabolites in rhizomes and tubers. Fourteen compounds with significant differences in expression were found by loading and t-test. These compounds may be the material basis for the different medicinal properties and clinical uses of rhizomes and roots of turmeric.