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用挥发物组学方法分析研究野巴旦李、鼠尾草、蓝桉、香蜂草和胡椒薄荷的精油特征。

Essential oil characterization of Prunus spinosa L., Salvia officinalis L., Eucalyptus globulus L., Melissa officinalis L. and Mentha x piperita L. by a volatolomic approach.

机构信息

Department of Agriculture, Food, Natural Resource and Engineering (DAFNE), University of Foggia, via Napoli 25, 71122 Foggia, Italy.

Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, Via Manfredonia 20, Foggia 71121, Italy.

出版信息

J Pharm Biomed Anal. 2021 Aug 5;202:114167. doi: 10.1016/j.jpba.2021.114167. Epub 2021 May 24.

Abstract

In this study a volatolomic approach is proposed for the characterization of the volatile organic compound (VOC) composition of essential oils (EOs) extracted from common aromatic plants. Five species (Prunus spinosa L., Salvia officinalis L., Eucalyptus globulus L., Melissa officinalis L. and Mentha x piperita L.), particularly widespread in Southern Italy, were selected as recognized sources of natural bioactive compounds with beneficial properties. Hydro distillation and solid-liquid extraction with ethanol at different percentages were used to obtain EOs, and their extraction capabilities were compared analyzing chromatographic profiles obtained by headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography - mass spectrometry (GC-MS). The analytical procedure was optimized in term of SPME fiber, adsorption time and desorption time. GC-MS analyses were performed allowing the profiling of the VOC fingerprint in each plant extract. Experimental data were processed by a statistical multivariate approach (Analysis of Variance and Principal Component Analysis obtained for compounds and chemical classes), confirming that EO aroma profiles were statistically different for each of the selected five plants. The proposed volatolomic approach has proved to be an easy and efficient tool to study the aroma profile, allowing the collection of specific information and opening new perspectives and opportunities for the detection and identification of VOCs in agricultural and ecological applications.

摘要

在这项研究中,提出了一种挥发物组学方法,用于表征从常见芳香植物中提取的精油(EO)的挥发性有机化合物(VOC)组成。选择了五种物种(Prunus spinosa L.、Salvia officinalis L.、Eucalyptus globulus L.、 Melissa officinalis L. 和 Mentha x piperita L.),它们在意大利南部广泛分布,被认为是具有有益特性的天然生物活性化合物的来源。采用水蒸馏和不同百分比的乙醇固液萃取法提取精油,并比较分析顶空固相微萃取(HS-SPME)与气相色谱-质谱联用(GC-MS)得到的色谱图谱。通过优化 SPME 纤维、吸附时间和解吸时间对分析程序进行了优化。通过气相色谱-质谱分析对每个植物提取物中的 VOC 指纹进行了分析。通过统计多变量方法(对化合物和化学类别的方差分析和主成分分析)对实验数据进行了处理,证实了每种选定的五种植物的精油香气图谱在统计学上存在差异。所提出的挥发物组学方法已被证明是一种简单有效的研究香气图谱的工具,允许收集特定信息,并为农业和生态应用中 VOC 的检测和鉴定开辟新的视角和机会。

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