TY - JOUR
T1 - Identification of Trace Volatile and Phenolic Compounds in Olive Oils with Trees Growing in Different Area Conditions
T2 - Using SPME/GC–MS
AU - Rekik, Ons
AU - Mansour, Amir ben
AU - Da Silva, Marco D. R. Gomes
AU - Bouaziz, Mohamed
N1 - Funding Information:
info:eu-repo/grantAgreement/EC/H2020/778045/EU#
The authors thank the Ministry of Higher Education Scientific Research (Laboratory LR14ES08), Tunisia, and ARIMNET 2 MedOOmics “Mediterranean Extra Virgin Olive Oil Omics: profiling and fingerprinting”—“Arimnet2/0001/2015” for the support of this research work.
This work was supported by Portuguese National Funds through FCT – Foundation for Science and Technology under the Associate Laboratory for Green Chemistry – LAQV [UID/QUI/50006/2020] and the project [UIDB/05183/2020]. and was also anchored by the RESOLUTION LAB, an infrastructure at NOVA School of Science and Technology. The authors would like to extend their thanks to Mrs Leila Mahfoudhi, teacher of English in the Sfax Faculty of Science, for proofreading and polishing the language of the manuscript.
PY - 2021/7
Y1 - 2021/7
N2 - This research work was performed on olive orchards (Olea europaea L., cv. Chemlali) of different origin areas of olive trees exposed to atmospheric contamination and those growing in a relatively clean area, during two successive years (2015/2016 and 2016/2017). Volatile profile of olive oil samples was carried out by headspace solid-phase micro-extraction coupled with gas chromatography/mass spectrometry (HS-SPME-GC/MS). A total of 93 volatile compounds, belonging to several classes of compounds, such as hydrocarbons, aldehydes, ketones, alcohols, terpenoids, and esters, were identified. Indeed, the analysis of phenols was performed by high-performance liquid chromatography with absorbance and fluorometric detection. Discriminant analysis confirmed that the pattern of volatile compounds includes enough information to predict sample variety amongst discrete monovarietal olive oil. The results indicate that climatic factors strongly effect volatile formation and phenolic composition and are supposed to be suitable markers of the geographic origin. Graphical Abstract: [Figure not available: see fulltext.]
AB - This research work was performed on olive orchards (Olea europaea L., cv. Chemlali) of different origin areas of olive trees exposed to atmospheric contamination and those growing in a relatively clean area, during two successive years (2015/2016 and 2016/2017). Volatile profile of olive oil samples was carried out by headspace solid-phase micro-extraction coupled with gas chromatography/mass spectrometry (HS-SPME-GC/MS). A total of 93 volatile compounds, belonging to several classes of compounds, such as hydrocarbons, aldehydes, ketones, alcohols, terpenoids, and esters, were identified. Indeed, the analysis of phenols was performed by high-performance liquid chromatography with absorbance and fluorometric detection. Discriminant analysis confirmed that the pattern of volatile compounds includes enough information to predict sample variety amongst discrete monovarietal olive oil. The results indicate that climatic factors strongly effect volatile formation and phenolic composition and are supposed to be suitable markers of the geographic origin. Graphical Abstract: [Figure not available: see fulltext.]
KW - Chemometrics
KW - Geographical area
KW - Olive oil
KW - Phenolic compounds
KW - Volatile compounds
UR - http://www.scopus.com/inward/record.url?scp=85110906377&partnerID=8YFLogxK
U2 - 10.1007/s12161-021-02061-w
DO - 10.1007/s12161-021-02061-w
M3 - Article
AN - SCOPUS:85110906377
JO - Food Analytical Methods
JF - Food Analytical Methods
SN - 1936-9751
ER -