Cebi Nur, Arici Muhammet, Sagdic Osman
Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Yıldız Technical University, 34210 Istanbul, Turkey.
Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Yıldız Technical University, 34210 Istanbul, Turkey.
Food Chem. 2021 Aug 30;354:129495. doi: 10.1016/j.foodchem.2021.129495. Epub 2021 Mar 8.
There is a necessity for rapid, robust, easy, accurate and cost-effective methodologies for the quality control of essential oils from medicinal and aromatic plants. Rosa damascena essential oil is a high-value natural product with its unique quality properties and economic importance. This research evaluated the capability of Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy and gas chromatography-mass spectrometry (GC-MS) techniques combined with chemometrics for determination of the authenticity of R. damascena essential oil. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were successfully employed with 100% accuracy for discrimination of authentic R. damascena essential oil samples from fraudulent commercial samples. Consistent results were obtained by FTIR, Raman and GC-MS techniques. Two of twenty commercial samples were determined as authentic R. damascena essential oil samples using the three analytical techniques. Findings showed that FTIR and Raman spectroscopy combined with chemometrics could be used as reliable, robust, rapid, accurate and low-cost analytical techniques for quality evaluation of R. damascena essential oil.
对于药用和芳香植物精油的质量控制，需要快速、可靠、简便、准确且经济高效的方法。大马士革玫瑰精油是一种具有独特品质特性和经济重要性的高价值天然产品。本研究评估了傅里叶变换红外光谱（FTIR）、拉曼光谱和气相色谱 - 质谱联用（GC - MS）技术结合化学计量学用于测定大马士革玫瑰精油真伪的能力。层次聚类分析（HCA）和主成分分析（PCA）成功地以100%的准确率用于区分真正的大马士革玫瑰精油样品和欺诈性商业样品。FTIR、拉曼和GC - MS技术获得了一致的结果。使用这三种分析技术，二十个商业样品中有两个被确定为真正的大马士革玫瑰精油样品。研究结果表明，FTIR和拉曼光谱结合化学计量学可作为可靠、稳健、快速、准确且低成本的分析技术用于大马士革玫瑰精油的质量评估。
