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

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.

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Classification of extra virgin olive oils according to their genetic variety using linear discriminant analysis of sterol profiles established by ultra-performance liquid chromatography with mass spectrometry detection

Food Research International ◽

10.1016/j.foodres.2010.11.004 ◽

2011 ◽

Vol 44 (1) ◽

pp. 103-108 ◽

Cited By ~ 20

Author(s):

M.J. Lerma-García ◽

E.F. Simó-Alfonso ◽

A. Méndez ◽

J.L. Lliberia ◽

J.M. Herrero-Martínez

Keyword(s):

Mass Spectrometry ◽

Liquid Chromatography ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Ultra Performance Liquid Chromatography ◽

Mass Spectrometry Detection ◽

Virgin Olive Oils ◽

Linear Discriminant ◽

Olive Oils

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Stereospecific analysis of the triacylglycerol fraction and linear discriminant analysis in a climatic differentiation of Umbrian extra-virgin olive oils

Journal of Chromatography A ◽

10.1016/s0021-9673(96)00688-7 ◽

1997 ◽

Vol 758 (1) ◽

pp. 109-116 ◽

Cited By ~ 18

Author(s):

P. Damiani ◽

L. Cossignani ◽

M.S. Simonetti ◽

B. Campisi ◽

L. Favretto ◽

...

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Stereospecific Analysis ◽

Virgin Olive Oils ◽

Linear Discriminant ◽

Olive Oils ◽

Triacylglycerol Fraction

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Chemical and Sensory Profiling of Monovarietal Extra Virgin Olive Oils from the Italian Marche Region

Antioxidants ◽

10.3390/antiox9040330 ◽

2020 ◽

Vol 9 (4) ◽

pp. 330 ◽

Cited By ~ 1

Author(s):

Deborah Pacetti ◽

Maria Chiara Boarelli ◽

Rita Giovannetti ◽

Stefano Ferraro ◽

Paolo Conti ◽

...

Keyword(s):

Antioxidant Activity ◽

Sensory Analysis ◽

High Performance ◽

Principal Component ◽

Tocopherol Content ◽

Volatile Fraction ◽

Virgin Olive Oils ◽

Olive Oils ◽

Marche Region ◽

Total Antioxidant

Chemical and sensory peculiarities of monovarietal extra virgin olive oils (MEVOOs) from the cultivars (cvs.) Ascolana tenera (ASC), Coroncina (COR), Mignola (MIG), Piantone di Mogliano (MOG), and Raggia (RAG) from Marche region (Italy) are investigated. Their polar phenolic substances and α-tocopherol are analysed through high performance liquid chromatography with different detectors. Volatile substances, fatty acid composition, and squalene are analysed by gas chromatography coupled to mass spectrometry (MS) and to the flame ionization detector, respectively. Total antioxidant activity and sensory analysis were also performed. MOG showed high squalene content (on average 0.88 ± 0.16 g/100 g), high relative amount of α-copaene among volatiles, and the highest oleic acid percentage. MIG had high α-tocopherol content (on average 350.0 ± 57.6 mg kg−1) and high α-farnesene in the volatile fraction. ASC showed the highest sensory quality and the lignan pinoresinol with higher concentration as compared to the other MEVOOs (p < 0.05), which resulted in a possible chemical marker for this cv. RAG was characterized by the sensory note of almond, which corresponds to its highest (E)-2-hexenal percentage. Sensory analysis and an antioxidant activity assay performed on a set of industrial extra virgin olive oils purchased in supermarkets, highlighted MEVOOs’ superiority from these points of view. Principal component analysis displays the main characteristics of the cvs. investigated.

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Ultrasonic-assisted extraction method of phenolic compounds in Extra-Virgin Olive Oils (EVOOs) by Ultra Performance Liquid Chromatography–Tandem Mass Spectrometry (UPLC–MS/MS)

Separation Science and Technology ◽

10.1080/01496395.2020.1713811 ◽

2020 ◽

pp. 1-8

Author(s):

Şeyda Kıvrak ◽

İbrahim Kıvrak

Keyword(s):

Extraction Method ◽

Ultra Performance Liquid Chromatography ◽

Tandem Mass ◽

Virgin Olive Oils ◽

Olive Oils ◽

Chromatography Tandem Mass Spectrometry ◽

Assisted Extraction ◽

Liquid Chromatography Tandem Mass ◽

Ultrasonic Assisted ◽

Ultrasonic Assisted Extraction

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Geographic Classification of Extra Virgin Olive Oils from the Eastern Mediterranean by Chemometric Analysis of Visible and Near-Infrared Spectroscopic Data

Applied Spectroscopy ◽

10.1366/000370203321535060 ◽

2003 ◽

Vol 57 (2) ◽

pp. 158-163 ◽

Cited By ~ 60

Author(s):

Gerard Downey ◽

Peter McIntyre ◽

Antony N. Davies

Keyword(s):

Discriminant Analysis ◽

Spectral Data ◽

Near Infrared ◽

Eastern Mediterranean ◽

Geographic Origin ◽

Near Infrared Reflectance ◽

Virgin Olive Oils ◽

Olive Oils ◽

Sample Set ◽

Factorial Discriminant Analysis

Visible and near-infrared reflectance spectra have been examined for their ability to classify extra virgin olive oils from the eastern Mediterranean on the basis of their geographic origin. Classification strategies investigated were partial least-squares regression, factorial discriminant analysis, and k-nearest neighbors analysis. Discriminant models were developed and evaluated using spectral data in the visible (400–750 nm), near-infrared (1100–2498 nm), and combined (400–2498 nm) wavelength ranges. A variety of data pretreatments was applied. Best results were obtained using factorial discriminant analysis on raw spectral data over the combined wavelength range; a correct classification rate of 93.9% was obtained on a prediction sample set. Though the overall sample set was limited in numbers, these results demonstrate the potential of near-infrared spectroscopy to classify extra virgin olive oils on the basis of their geographic origin.

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

Food Research International ◽

10.1016/j.foodres.2016.03.010 ◽

2016 ◽

Vol 84 ◽

pp. 41-51 ◽

Cited By ~ 20

Author(s):

Aadil Bajoub ◽

El Amine Ajal ◽

Alberto Fernández-Gutiérrez ◽

Alegría Carrasco-Pancorbo

Keyword(s):

Virgin Olive Oils ◽

Olive Oils ◽

Phenolic Profiles

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Consumer Acceptance and Quality Parameters of the Commercial Olive Oils Manufactured with Cultivars Grown in Galicia (NW Spain)

Foods ◽

10.3390/foods9040427 ◽

2020 ◽

Vol 9 (4) ◽

pp. 427 ◽

Cited By ~ 2

Author(s):

Sol Zamuz ◽

Laura Purriños ◽

Igor Tomasevic ◽

Rubén Domínguez ◽

Mladen Brnčić ◽

...

Keyword(s):

Sensory Analysis ◽

Sensory Quality ◽

Quality Parameters ◽

Consumer Acceptance ◽

Chemical Quality ◽

Nw Spain ◽

High Quality ◽

Virgin Olive Oils ◽

Olive Oils ◽

Physical Chemical

Mansa and Brava are olive autochthonous cultivars from Galicia, a new olive-growing zone from NW Spanish, from which high-quality extra virgin olive oils (EVOOs) are obtained. The oils obtained as by co-crushing Mansa and Brava olives in different proportions as by blending with others olives cultivars have different composition that influence in their sensory quality. The consumer acceptance of commercial oils elaborated with Local Galician cultivars was evaluated and a quality-mapping of olive oils was created. It was found that the both Local oils had good physical-chemical quality parameters. From sensory analysis viewpoint, Local-MB oils presented the highest intensity values for color, odor, taste, and flavor, and the consumers had a higher acceptance and preference by Picual, Local-MBPA (60% Mansa and Brava, 25% Picual, and 15% Arbequina and Local-MB (60% Mansa and 40% Brava) oils. A quality-mapping of olive oils indicate that attributes better scored from the consumer are high intensity for color, odor, taste and flavor, and pungent and floral series, and bitter is rejected by them.

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

Antioxidants ◽

10.3390/antiox8060161 ◽

2019 ◽

Vol 8 (6) ◽

pp. 161 ◽

Cited By ~ 11

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.

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