Lioupi Artemis, Sampsonidis Ioannis, Virgiliou Christina, Papoti Vassiliki T, Zinoviadou Kyriaki G, Spyros Apostolos, Theodoridis Georgios
Laboratory of Analytical Chemistry, School of Chemistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.
Biomic AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center B1.4, 10th km Thessaloniki-Thermi Rd, P.O. Box 8318, GR-57001 Thessaloniki, Greece.
Metabolites. 2022 Jan 25;12(2):114. doi: 10.3390/metabo12020114.
A headspace-solid phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS) method was developed herein for the analysis of virgin olive oil volatile metabolome. Optimisation of SPME conditions was performed by Design of Experiments (DoE) and Response Surface Methodology (RSM) approaches and factors, such as sample volume, sample stirring, extraction temperature and time, and desorption temperature and time, were examined to reach optimal microextraction conditions. The potential of the optimised method was then investigated for its use in the classification of Cretan virgin olive oil samples with the aid of multivariate statistical analysis. Certain markers were identified with significance in the geographical classification of Cretan extra-virgin olive oil (EVOO) samples. In total, 92 volatile organic compounds were tentatively identified and semi-quantified, and the data obtained confirm that the method is robust, reliable, and analytically powerful for olive oil classification.
本文建立了一种顶空固相微萃取/气相色谱-质谱联用（HS-SPME/GC-MS）方法，用于分析初榨橄榄油挥发性代谢组。采用实验设计（DoE）和响应面法（RSM）对固相微萃取条件进行优化，考察了样品体积、样品搅拌、萃取温度和时间以及解吸温度和时间等因素，以达到最佳微萃取条件。然后借助多元统计分析研究了该优化方法在克里特岛初榨橄榄油样品分类中的应用潜力。在克里特岛特级初榨橄榄油（EVOO）样品的地理分类中，确定了某些具有显著意义的标志物。总共初步鉴定并半定量了92种挥发性有机化合物，所得数据证实该方法对于橄榄油分类具有稳健性、可靠性和强大的分析能力。
