Literature DB >> 33743448

The famous Turkish rose essential oil: Characterization and authenticity monitoring by FTIR, Raman and GC-MS techniques combined with chemometrics.

Nur Cebi1, Muhammet Arici2, Osman Sagdic2.   

Abstract

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.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chromatography; FTIR; HCA; PCA; Raman; Rose essential oil

Year:  2021        PMID: 33743448     DOI: 10.1016/j.foodchem.2021.129495

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  Preparation and Research of a High-Performance ZnO/SnO2 Humidity Sensor.

Authors:  Fan Li; Peng Li; Hongyan Zhang
Journal:  Sensors (Basel)       Date:  2021-12-31       Impact factor: 3.576

2.  Effect of Combined Infrared and Hot Air Drying Strategies on the Quality of Chrysanthemum (Chrysanthemum morifolium Ramat.) Cakes: Drying Behavior, Aroma Profiles and Phenolic Compounds.

Authors:  Huihuang Xu; Min Wu; Yong Wang; Wenguang Wei; Dongyu Sun; Dong Li; Zhian Zheng; Fei Gao
Journal:  Foods       Date:  2022-07-27

3.  Pure Ion Chromatograms Combined with Advanced Machine Learning Methods Improve Accuracy of Discriminant Models in LC-MS-Based Untargeted Metabolomics.

Authors:  Miao Tian; Zhonglong Lin; Xu Wang; Jing Yang; Wentao Zhao; Hongmei Lu; Zhimin Zhang; Yi Chen
Journal:  Molecules       Date:  2021-05-05       Impact factor: 4.411

  3 in total

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