菌陈挥发油GC-MS指纹图谱分析

建立了菌陈挥发油GC-MS指纹图谱，将正交投影算法用于不同样本中共有峰的提取，提高了共有峰的识别能力，降低了由于保留时间的漂移、质谱检索匹配度不高以及色谱峰重叠而引起的共有峰识别的难度．采用共有峰率、变异率及相似度等几个指标对4个不同产地的菌陈挥发油成分进行了评价，从共性、差异和整体性等多个方面全面表征菌陈挥发油的化学模式特征．结果表明，不同产地的菌陈挥发油成分大致相同，该指纹图谱可用于菌陈中挥发油成分的质量控制．

Fingerprint Analysis of the Volatile Chemical Constituents in Artemisia Capillaris Herba via Gas Chromatography-Mass Spectrum

GC-MS fingerprint of the volatile chemical constituents in Artemisia capillaris herba was built, and orthogonal projection resolution was adopted for the extraction of common peaks from different sources of Artemisia capillaris herba. The criteria of common peak rate, variance coefficient and similarity were adopted for the evaluation of four different Artemisia capillaris herba samples from Hebei, Gansu, Shandong and Hunan provinces respectively, the chemical pattern characters of the volatile chemical constituents in Artemisia capillaris herba were characterized comprehensively from commonness, diversity and integrity. It showed a fair consistency in their GC-MS fingerprints among Artemisia capiUaris herba samples from different sources. Artemisia capillaris herba was distinguished from Artemisia sacrorum L. , a possible substitute in traditional Chinese medicine, by comparing the fingerprints with each other.