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目的:建立蕲艾挥发油的气相色谱-质谱(GC-MS)指纹图谱,为蕲艾挥发油的鉴定和内在质量提供评价依据。方法:采集15批次蕲艾样品,采用水蒸气蒸馏法提取不同批次的蕲艾挥发油,并以进样口温度为230℃,载气为氮气,载气流速为0.8 mL·min-1,程序升温对15批蕲艾挥发油进行GC-MS分析,建立指纹图谱,并对指纹图谱进行相似度分析。结果:标定了p-伞花烃、桉油精、萜品烯、侧柏酮、樟脑、冰片、1-石竹烯、氧化石竹烯等23个特征性指标成分作为共有特征峰建立蕲艾GCMS指纹图谱。15蕲艾挥发油的共有峰的相对保留时间、共有峰相对峰面积的RSD差别均较小,相似度大于0.90。结论:本方法建立的蕲艾挥发油的GC-MS指纹图谱,确定了代表蕲艾挥发性成分的23个特征色谱峰,为完善蕲艾挥发油的品质评价和质量控制体系奠定了基础,为整体上客观评价蕲艾质量提供了实验依据。
OBJECTIVE: To establish a GC-MS fingerprint of Volatile Oil from Volatile Oil, and provide the basis for the identification and intrinsic quality of Volatile Oil from Volatile Oil. Methods: Fifteen batches of samples were collected. Different batches of volatile oil were extracted by steam distillation. The inlet gas temperature was 230 ℃, the carrier gas was nitrogen, the carrier gas flow rate was 0.8 mL · min-1, The program warming GC-MS analysis of 15 batches of volatile oil, the establishment of fingerprinting, fingerprinting and similarity analysis. RESULTS: Twenty-three characteristic components such as p-cymene, eucalyptol, terpinene, thujone, camphor, borneol, l-carnitine and fossil were labeled as GCMS fingerprints Map. The relative retention time and the relative peak area of the common peak of 15 Volatile Oil were all smaller than that of the common peak, and the similarity was greater than 0.90. Conclusion: The GC-MS fingerprint of Volatile Oil of Volatile Oil from Volatile Oil was established by this method, and 23 characteristic chromatographic peaks were identified, Objective evaluation of Qi Ai quality provided experimental basis.