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Ultrasound-assisted extraction and dispersive liquid-liquid microextraction coupled with gas chromatography-mass spectrometry for the sensitive determination of essential oil components in lavender

机译:超声辅助萃取和分散液 - 液微萃取与气相色谱 - 质谱耦合,用于敏感的薰衣草精油组分的敏感测定

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摘要

In this research, a novel method based on ultrasound-assisted extraction and dispersive liquid-liquid microextraction (UAE-DLLME) coupled with gas chromatography-mass spectrometry (GC-MS) has been successfully developed for the determination of essential oil constituents in lavender. The effective parameters of UAE-DLLME, including the type of extraction solvent, type and volume of preconcentration solvent, type and volume of disperser solvent, extraction temperature, and extraction time, were studied and optimized in detail. The optimal analytical conditions were as follows: 2 mL 50% ethanol as the extraction solvent, 150 mL methanol as the disperser solvent, 40 mu L CCl4 as the preconcentration solvent, an extraction time of 20 min and an extraction temperature of 50 degrees C. Under the optimum conditions, a total of 13 samples of three varieties of lavender were analyzed and 64 compounds were identified. The precision of UAE-DLLME-GC-MS was evaluated and the relative standard deviation (RSD) was below 9% (n = 5). Good linearity with correlation coefficients of >0.9982 was obtained; limits of detection ranging from 1.75 to 7.50 ng indicated high sensitivity. Principal component analysis (PCA) was used to distinguish different varieties of lavender. This is the first application of UAE-DLLME for the analysis of essential oil constituents in lavender. The results showed that UAE-DLLME-GC-MS is a fast, sensitive, simple and small sample consumption method for the determination of essential oils in plant materials.
机译:在该研究中,成功​​地开发了一种基于超声辅助提取和分散液 - 微萃取(UAE-DLLME)的新方法,用于确定薰衣草中的必需油成分。 UAE-DILLME的有效参数,包括萃取溶剂类型,预浓缩溶剂的类型和体积,分散剂溶剂,提取温度和提取时间的类型和体积,并详细地进行了优化。最佳的分析条件如下:2mL 50%乙醇作为萃取溶剂,150ml甲醇作为分散剂溶剂,40μlcCl4作为前浓度溶剂,提取时间为20分钟,提取温度为50℃。在最佳条件下,分析了共有三种薰衣草的13种样品,鉴定了64种化合物。评估了UAE-DLLME-GC-MS的精度,相对标准偏差(RSD)低于9%(n = 5)。获得具有> 0.9982的相关系数的良好线性;检测限范率为1.75至7.50 ng表示高灵敏度。主要成分分析(PCA)用于区分不同品种的薰衣草。这是AuAE-DLLME用于分析薰衣草中必需油成分的第一次应用。结果表明,UAE-DLLME-GC-MS是一种快速,灵敏,简单,小的样品消耗方法,用于测定植物材料中的精油。

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  • 来源
    《Analytical methods》 |2019年第11期|共10页
  • 作者单位

    Xinjiang Univ Analyt &

    Testing Ctr Urumqi 830046 Xinjiang Peoples R China;

    Xinjiang Univ Analyt &

    Testing Ctr Urumqi 830046 Xinjiang Peoples R China;

    Xinjiang Univ Analyt &

    Testing Ctr Urumqi 830046 Xinjiang Peoples R China;

    Xinjiang Univ Analyt &

    Testing Ctr Urumqi 830046 Xinjiang Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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