Targeted analysis for detection the adulteration in extra virgin olive oil's using LC-DAD/ESI-MS/MS and combined with chemometrics tools
EUROPEAN FOOD RESEARCH AND TECHNOLOGY, vol.246, no.8, pp.1661-1677, 2020 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 246 Issue: 8
- Publication Date: 2020
- Doi Number: 10.1007/s00217-020-03522-y
- Journal Name: EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Compendex, Food Science & Technology Abstracts, Hospitality & Tourism Complete, Hospitality & Tourism Index, Veterinary Science Database
- Page Numbers: pp.1661-1677
- Keywords: Extra virgin olive oil adulteration, Refined pomace olive oil, Correlation analysis, Phenolic compounds, LC-DAD-ESI-MS/MS, Chemometrics, PHENOLIC-COMPOUNDS, POMACE OIL, CHEMLALI, QUALITY, STEROLS, QUANTIFICATION, SPECTROSCOPY, ORIGIN, GC, MS
- Çukurova University Affiliated: Yes
Abstract
The hand-held LC-DAD/ESI-MS/MS approach was employed, for the first time, for the quantification of extra virgin olive oil (EVOO) adulteration with refined pomace olive oil (RPOO). The total polyphenols (TP) and sterols were quantified according to their chemical methods, with more reliable methods required in this field to avoid undue dependence on chlorophylls, carotenoids contents and antioxidant activity (DPPH assays), which were evaluated by spectrophotometric methods. Some differences concerning the antioxidant activity and the TP content were observed. Actually, Chemlali EVOO activity was the most pronounced (13.84 +/- 0.21%) and it contained the highest TP content (284.54 +/- 4.27 mg/kg). Indeed, a correlation between antioxidant activity, TP and oxidative stability was established herewith. The metabolomics data were elaborated with the help of chemometric tools i.e. principal component analysis (PCA) and hierarchical cluster analysis (HCA). This approach allowed the estimation of the best discrimination markers for EVOO authenticity evaluation (i.e. Hydroxytyrosol quinone, oxidized hydroxytyrosol, 3,4-DHPEA-EA, p-HPEA (tyrosol), p-coumaric acid, luteolin, decarboxymethyl 10-hydroxyoleuropein aglycon, beta-sitosterol apparently; campesterol, stigmasterol, increment Delta-7-stigmastenol and increment Delta-7-avenasterol).