Deep insight into the minor fraction of virgin olive oil by using LC-MS and GC-MS multi-class methodologies
Metadatos
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Olmo García, Lucía; Polari, Juan J.; Li, Xueqi; Bajoub, Aadil; Fernández Gutiérrez, Alberto; Wang, Selina C.; Carrasco Pancorbo, AlegríaMateria
virgin olive oil liquid chromatography gas chromatography mass spectrometry multi-class methodologies phenolic compounds pentacyclic triterpenes tocopherols sterols fatty acids
Fecha
2018-04-11Referencia bibliográfica
Olmo-García L, Polari J J, Li X, Bajoub A, Fernández-Gutiérrez A, Wang S C, Carrasco-Pancorbo A. Deep insight into the minor fraction of virgin olive oil by using LC-MS and GC-MS multi-class methodologies. Food Chemistry. 261 (2018) 184–193. doi.org/10.1016/j.foodchem.2018.04.006
Patrocinador
Spanish Ministry of Economy and Competitiveness (CTQ2014-53442-P); Spanish Ministry of Education, Culture and Sport (FPU13/06438); Mobility Program for young researchers CEI BioTic 2015-2016 (Vice-rectorate for Internationalization of the University of Granada)Resumen
Several analytical methods are available to evaluate virgin olive oil (VOO) minor compounds; however, multi-class methodologies are yet rarely studied. Herewith, LC-MS and GC-MS platforms were used to develop two methods capable of simultaneously determine more than 40 compounds belonging to different VOO minor chemical classes within a single run. A non-selective and highly efficient liquid-liquid extraction protocol was optimized for VOO minor components isolation. The separation and detection conditions were adjusted for determining phenolic and triterpenic compounds, free fatty acids and tocopherols by LC-MS, plus sterols and hydrocarbons by GC-MS. Chromatographic analysis times were 31 and 50 min, respectively. A comparative assessment of both methods in terms of analytical performance, easiness, cost and adequacy to the analysis of each class was carried out. The emergence of this kind of multi-class analytical methodology greatly increases throughput and reduces cost, while avoiding the complexity and redundancy of single-chemical class determinations.