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液-液萃取、固相萃取和顶空技术用于测定玫瑰芳香水中某些挥发性水溶性化合物的有效性。

Effectiveness of Liquid-Liquid Extraction, Solid Phase Extraction, and Headspace Technique for Determination of Some Volatile Water-Soluble Compounds of Rose Aromatic Water.

作者信息

Canbay Hale Seçilmiş

机构信息

Department of Bioengineering, Faculty of Engineering and Architecture, Mehmet Akif Ersoy University, 15030 Burdur, Turkey.

出版信息

Int J Anal Chem. 2017;2017:4870671. doi: 10.1155/2017/4870671. Epub 2017 Jul 16.

Abstract

Steam distillation is used to isolate scent of rose flowers. Rose aromatic water is commonly used in European cuisine and aromatherapy besides its use in cosmetic industry for its lovely scent. In this study, three different sampling techniques, liquid-liquid extraction (LLE), headspace technique (HS), and solid phase extraction (SPE), were compared for the analysis of volatile water-soluble compounds in commercial rose aromatic water. Some volatile water-soluble compounds of rose aromatic water were also analyzed by gas chromatography mass spectrometry (GCMS). In any case, it was concluded that one of the solid phase extraction methods led to higher recoveries for 2-phenylethyl alcohol (PEA) in the rose aromatic water than the liquid-liquid extraction and headspace technique. Liquid-liquid extraction method provided higher recovery ratios for citronellol, nerol, and geraniol than others. Ideal linear correlation coefficient values were observed by GCMS for quantitative analysis of volatile compounds ( ≥ 0.999). Optimized methods showed acceptable repeatability (RSDs < 5%) and excellent recovery (>95%). For compounds such as -pinene, linalool, -caryophyllene, -humulene, methyl eugenol, and eugenol, the best recovery values were obtained with LLE and SPE.

摘要

水蒸气蒸馏法用于分离玫瑰花的香气。玫瑰芳香水除了因其宜人的香气而在化妆品工业中使用外,还常用于欧洲烹饪和芳香疗法。在本研究中,比较了三种不同的采样技术,即液液萃取(LLE)、顶空技术(HS)和固相萃取(SPE),用于分析市售玫瑰芳香水中的挥发性水溶性化合物。还通过气相色谱-质谱联用(GCMS)分析了玫瑰芳香水中的一些挥发性水溶性化合物。无论如何,得出的结论是,固相萃取方法之一在玫瑰芳香水中对2-苯乙醇(PEA)的回收率高于液液萃取和顶空技术。液液萃取法对香茅醇、橙花醇和香叶醇的回收率高于其他方法。GCMS对挥发性化合物进行定量分析时观察到理想的线性相关系数值(≥0.999)。优化后的方法显示出可接受的重复性(相对标准偏差<5%)和优异的回收率(>95%)。对于诸如α-蒎烯、芳樟醇、β-石竹烯、α-律草烯、甲基丁香酚和丁香酚等化合物,使用LLE和SPE可获得最佳回收率。

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