基于GC-MS和电子鼻探究不同方法提取的玫瑰精油挥发性香气成分Exploration of Volatile Aroma Components of Rose Essential Oils Extracted by Different Methods Based on GC-MS and Electronic Nose
安比芳,陈创业,宋凯洋,乔桂芳,冯作山,陶永霞,刘天志
摘要(Abstract):
香气是评价玫瑰精油品质的重要指标,为研究不同方法提取的玫瑰精油的关键香气成分,采用高效气相色谱-质谱联用(gas chromatography-mass spectrometry, GC-MS)结合电子鼻(electronic nose, E-nose)技术对水蒸气蒸馏(hydrodistillation, HD)法和超声辅助水蒸气蒸馏(ultrasonic-assisted extraction, UAE)法提取的新疆大马士革玫瑰精油的挥发性成分进行测定,通过多元统计分析正交偏最小二乘法-判别分析(orthogonal partial least squares-discriminant analysis, OPLS-DA)挖掘不同方法提取的玫瑰精油差异挥发物,以变量投影重要性(variable importance in projection, VIP)作为OPLS-DA模型的主要筛选工具,结合电子鼻数据主成分分析(principal component analysis, PCA)进行对比分析。结果表明,两种方法提取的玫瑰精油中共检测出69种挥发性成分,分为醇类、醛类、酯类等7大类,VIP>1的54种挥发性化合物,如(R)-(+)-β-香茅醇、1-十九碳烯等对玫瑰精油香气起到贡献作用。电子鼻雷达图结果表明,W5S、W1S和W2W是玫瑰精油中香气成分识别的关键性传感器,通过PCA能够很好地区分两种方法提取的精油。综上所述,GC-MS结合电子鼻技术能够很好地区分不同方法提取的玫瑰精油的香气成分,能为玫瑰精油的区分提供科学依据。
关键词(KeyWords): 玫瑰精油;挥发性成分;气相色谱-质谱联用(GC-MS);电子鼻;正交偏最小二乘法(OPLS);主成分分析(PCA)
基金项目(Foundation): 新疆维吾尔自治区重点研发专项项目(2522HXKT1)
作者(Author): 安比芳,陈创业,宋凯洋,乔桂芳,冯作山,陶永霞,刘天志
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