Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole-time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach. (1st February 2017)
- Record Type:
- Journal Article
- Title:
- Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole-time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach. (1st February 2017)
- Main Title:
- Quality classification of Spanish olive oils by untargeted gas chromatography coupled to hybrid quadrupole-time of flight mass spectrometry with atmospheric pressure chemical ionization and metabolomics-based statistical approach
- Authors:
- Sales, C.
Cervera, M.I.
Gil, R.
Portolés, T.
Pitarch, E.
Beltran, J. - Abstract:
- Highlights: GC–(APCI)QTOF MS, an efficient methodology for olive oil classification. Metabolomics-based approach as an alternative to target analysis. Important complement to the official "PANEL TEST" method for quality control. Abstract: The novel atmospheric pressure chemical ionization (APCI) source has been used in combination with gas chromatography (GC) coupled to hybrid quadrupole time-of-flight (QTOF) mass spectrometry (MS) for determination of volatile components of olive oil, enhancing its potential for classification of olive oil samples according to their quality using a metabolomics-based approach. The full-spectrum acquisition has allowed the detection of volatile organic compounds (VOCs) in olive oil samples, including Extra Virgin, Virgin and Lampante qualities. A dynamic headspace extraction with cartridge solvent elution was applied. The metabolomics strategy consisted of three different steps: a full mass spectral alignment of GC–MS data using MzMine 2.0, a multivariate analysis using Ez-Info and the creation of the statistical model with combinations of responses for molecular fragments. The model was finally validated using blind samples, obtaining an accuracy in oil classification of 70%, taking the official established method, "PANEL TEST", as reference.
- Is Part Of:
- Food chemistry. Volume 216(2017)
- Journal:
- Food chemistry
- Issue:
- Volume 216(2017)
- Issue Display:
- Volume 216, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 216
- Issue:
- 2017
- Issue Sort Value:
- 2017-0216-2017-0000
- Page Start:
- 365
- Page End:
- 373
- Publication Date:
- 2017-02-01
- Subjects:
- Virgin olive oil -- Atmospheric pressure chemical ionization -- Gas chromatography -- Mass spectrometry -- Metabolomics -- Purge and trap
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2016.08.033 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7392.xml