Evaluating the potential of phenolic profiles as discriminant features among extra virgin olive oils from Moroccan controlled designations of origin

2016 ◽  
Vol 84 ◽  
pp. 41-51 ◽  
Author(s):  
Aadil Bajoub ◽  
El Amine Ajal ◽  
Alberto Fernández-Gutiérrez ◽  
Alegría Carrasco-Pancorbo
Keyword(s):  
Virgin Olive Oils ◽  
Olive Oils ◽  
Phenolic Profiles

scholarly journals Phenolic Profile and Antioxidant Activity of Italian Monovarietal Extra Virgin Olive Oils

Antioxidants ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 161 ◽  
Author(s):  
Carmine Negro ◽  
Alessio Aprile ◽  
Andrea Luvisi ◽  
Francesca Nicolì ◽  
Eliana Nutricati ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Antioxidant Activities ◽  
Total Phenolic ◽  
Phenolic Profile ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Ic50 Values ◽  
Phenolic Profiles ◽  
Trolox Equivalent ◽  
Phenolic Substances

In the last years, the interest in Italian monovarietal oils has increased due to their specific organoleptic qualities. Extra virgin olive oils (EVOOs) are rich in phenolic compounds, secondary metabolites well known and studied for their nutraceutical properties. However, among EVOOs, there is great variability in phenolic composition due to the origin, the production technique, and mainly, the genotype. The aim of this work was to evaluate the different phenolic profiles and the antioxidant activities of monovarietal oils. The results confirm this variability. In fact, the overall content of oleuropein varies up to four times between the different genotypes (from 33.80 to 152.32 mg/kg oil), while the oleocanthal content is significant only in two oils. The antioxidant activity, determined with 2,2-Diphenyl-1-picrylhydrazyl (DPPH) and oxygen radical absorbance capacity (ORAC) assays, is correlated with the content of total phenolic substances, with half maximal inhibitory concentration (IC50) values for the DPPH test ranging from 160 to 91 mg of oil, while the ORAC test shows values between 5.45 and 8.03 μmol Trolox equivalent (TE)/g oil.

Use of capillary electrophoresis with UV detection to compare the phenolic profiles of extra-virgin olive oils belonging to Spanish and Italian PDOs and their relation to sensorial properties

2009 ◽  
Vol 89 (12) ◽  
pp. 2144-2155 ◽  
Author(s):  
Alegría Carrasco-Pancorbo ◽  
Ana María Gómez-Caravaca ◽  
Antonio Segura-Carretero ◽  
Lorenzo Cerretani ◽  
Alessandra Bendini ◽  
...  
Keyword(s):  
Capillary Electrophoresis ◽  
Uv Detection ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Phenolic Profiles

scholarly journals Inter-Varietal Diversity of Typical Volatile and Phenolic Profiles of Croatian Extra Virgin Olive Oils as Revealed by GC-IT-MS and UPLC-DAD Analysis

Foods ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 565 ◽  
Author(s):  
Igor Lukić ◽  
Marina Lukić ◽  
Mirella Žanetić ◽  
Marin Krapac ◽  
Sara Godena ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Sensory Analysis ◽  
Ion Trap ◽  
Ultra Performance Liquid Chromatography ◽  
Varietal Diversity ◽  
Virgin Olive Oils ◽  
Linear Discriminant ◽  
Olive Oils ◽  
Phenolic Profiles ◽  
Quantitative Descriptive

Despite having an interesting native olive gene pool and a rapidly emerging olive oil industry, monovarietal extra virgin olive oils (EVOO) from Croatia are relatively unexplored. To investigate the inter-varietal diversity of typical volatile and phenolic profiles of Croatian EVOO, 93 samples from six olive (Olea europaea L.) varieties were subjected to gas chromatography-ion trap mass spectrometry (GC-IT-MS) and ultra-performance liquid chromatography with diode array detection (UPLC-DAD), respectively. Quantitative descriptive sensory analysis was also performed. Analysis of variance extracted many relevant exclusive or partial discriminators between monovarietal EVOOs among the identified volatile compounds and phenols. Successful differentiation model with a 100% correct classification was built by linear discriminant analysis, while the most typical volatiles for each monovarietal EVOO were confirmed by partial least squares discriminant analysis. Diverse typical sensory attributes among the EVOOs were tentatively ascribed to the variations in the composition of volatiles and phenols. It was proven that the approach that comprises GC-IT-MS and UPLC-DAD analysis may provide additional objective information about varietal origin and typicity which successfully complement those obtained by sensory analysis. The approach was characterized as universal in nature, with a significant potential to contribute in strengthening the varietal identities and position on the market of monovarietal and Protected Denomination of Origin (PDO) EVOO.

Influence of genetic and interannual factors on the phenolic profiles of virgin olive oils

2020 ◽  
pp. 128357
Author(s):  
H. Miho ◽  
J. Moral ◽  
D. Barranco ◽  
C.A. Ledesma-Escobar ◽  
F. Priego-Capote ◽  
...  
Keyword(s):  
Virgin Olive Oils ◽  
Olive Oils ◽  
Phenolic Profiles

Characterization and evaluation of phenolic profiles and color as potential discriminating features among Spanish extra virgin olive oils with protected designation of origin

2018 ◽  
Vol 241 ◽  
pp. 328-337 ◽  
Author(s):  
Mercedes Becerra-Herrera ◽  
Alberto Vélez-Martín ◽  
Adrián Ramos-Merchante ◽  
Pablo Richter ◽  
Rafael Beltrán ◽  
...  
Keyword(s):  
Virgin Olive Oils ◽  
Olive Oils ◽  
Protected Designation Of Origin ◽  
Phenolic Profiles

Relationship Between Sensory Evaluation Performed by Italian and Spanish Official Panels and Volatile and Phenolic Profiles of Virgin Olive Oils

2008 ◽  
Vol 1 (4) ◽  
pp. 258-267 ◽  
Author(s):  
Lorenzo Cerretani ◽  
Maria Desamparados Salvador ◽  
Alessandra Bendini ◽  
Giuseppe Fregapane
Keyword(s):  
Sensory Evaluation ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Phenolic Profiles

A preliminary study on the potential of front face fluorescence spectroscopy for the discrimination of Moroccan virgin olive oils and the prediction of their quality

2021 ◽  
Author(s):  
Hicham Zaroual ◽  
El Mestafa El Hadrami ◽  
Romdhane Karoui
Keyword(s):  
Fluorescence Spectroscopy ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Front Face ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Preliminary Study

This study examines the feasibility of using front face fluorescence spectroscopy (FFFS) to authenticate 41 virgin olive oil (VOO) samples collected from 5 regions in Morocco during 2 consecutive crop seasons.

Shelf-life of Extra Virgin Olive Oils from Southern Italy

2014 ◽  
Vol 10 (3) ◽  
pp. 234-240 ◽  
Author(s):  
Costantina Barbarisi ◽  
Michele Stasio ◽  
Francesco Cara ◽  
Melissa Nazzaro ◽  
Francesco Siano ◽  
...  
Keyword(s):  
Shelf Life ◽  
Southern Italy ◽  
Virgin Olive Oils ◽  
Olive Oils

Quality evolution of extra-virgin olive oils according to their chemical composition during 22 months of storage under dark conditions

2020 ◽  
Vol 311 ◽  
pp. 126044 ◽  
Author(s):  
Sonia Esposto ◽  
Roberto Selvaggini ◽  
Agnese Taticchi ◽  
Gianluca Veneziani ◽  
Beatrice Sordini ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Dark Conditions

scholarly journals Prediction of Fruity Aroma Intensity and Defect Presence in Virgin Olive Oil Using an Electronic Nose

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2298
Author(s):  
Pablo Cano Marchal ◽  
Chiara Sanmartin ◽  
Silvia Satorres Martínez ◽  
Juan Gómez Ortega ◽  
Fabio Mencarelli ◽  
...  
Keyword(s):  
Olive Oil ◽  
Low Cost ◽  
Virgin Olive Oil ◽  
General Purpose ◽  
Quality Parameter ◽  
Lasso Regression ◽  
Virgin Olive Oils ◽  
Electronic Noses ◽  
Olive Oils ◽  
Instrumental Technique

The organoleptic profile of a Virgin Olive Oil is a key quality parameter that is currently obtained by human sensory panels. The development of an instrumental technique capable of providing information about this profile quickly and online is of great interest. This work employed a general purpose e-nose, in lab conditions, to predict the level of fruity aroma and the presence of defects in Virgin Olive Oils. The raw data provided by the e-nose were used to extract a set of features that fed a regressor to predict the level of fruity aroma and a classifier to detect the presence of defects. The results obtained were a mean validation error of 0.5 units for the prediction of fruity aroma using lasso regression; and 88% accuracy for the defect detection using logistic regression. Finally, the identification of two out of ten specific sensors of the e-nose that can provide successful results paves the way to the design of low-cost specific electronic noses for this application.

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