Italian Extra Virgin Olive Oils Research Articles

Rare Earth Element Variability in Italian Extra Virgin Olive Oils from Abruzzo Region.

Extra virgin olive oil is a food product from the Mediterranean area that is particularly and continuously experiencing to increasing instances of fraudulent geographical labeling. Therefore, origin protection must be improved, mainly based on its intrinsic chemical composition. This study aimed to perform a preliminary chemical characterization of Abruzzo extra virgin olive oils (EVOOs) using rare earth elements (REEs). REEs were evaluated in EVOO samples of different varieties produced in different geographical origins within the Abruzzo region (Italy) in three harvest years using ICP-MS chemometric techniques. Principal component, discriminant, and hierarchical cluster analyses were conducted to verify the influence of the variety, origin, and vintage of the REE composition. The results of a three-year study showed a uniform REE pattern and a strong correlation in most EVOOs, in particular for Y, La, Ce, and Nd. However, europium and erbium were also found in some oil samples. Compared with cultivar and origin, only the harvest year slightly influenced the REE composition, highlighting the interactions of the olive system with the climate and soil chemistry that could affect the multielement composition of EVOOs.

Direct analysis in real time of high-quality extra virgin olive oils for the rapid and automatic identification of origin trademark.

Following our previous research on the differentiation of Italian extra virgin olive oils (EVOOs) by rapid evaporative ionization mass spectrometry coupled to a tandem high resolution mass analyser, the present study deals with the evaluation of another direct mass spectrometry (direct-MS) approach for the rapid and automatic discrimination of EVOOs. In particular, direct analysis in real time (DART-MS) was explored as an ambient MS (AMS) source for the building of a top-quality Italian EVOOs database and fast identification of unknown samples. A single quadrupole detector (QDa) was coupled with DART, taking advantage of a cost-saving, user-friendly and less sophisticated instrumental setup. Particularly, quickstrip cards, located on a moving rail holder, were employed, allowing for the direct analysis of 12 EVOO spots in a total analysis time of 6 min. The aim was to develop a reliable statistical model by applying principal component and linear discriminant analyses to clusterize and classify EVOOs according to geographical origin and cultivar, as main factors determining their nutritional and sensory profiles. Satisfactory results were achieved in terms of identification reliability of unknown EVOOs, as well as false positive risk, thus confirming that the use of AMS combined with chemometrics is a powerful tool against fraudulent activities, without the need for mass accuracy data, which would increase the analysis cost. A DART ionization source with a compact and reliable QDa MS analyser allowed for rapid fingerprinting analysis. Furthermore, MS spectra provided quali-quantitative information successfully related to EVOO differentiation. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Analytical Methods for the Characterization of Vegetable Oils

The determination of the authenticity of extra virgin olive oils (EVOOs) has become more interesting in recent years. Italy is the first country in Europe in terms of number of Protected Designation of Origin (PDO) oils, which connects consumers to a feeling of tradition and thus to higher quality standards. This work focused on the consideration of the inorganic content as a possible marker of EVOOs. Ten vegetable oils (VOs), eight Italian EVOOs and seven not Italian EVOOs were analyzed. After pretreatment by acid mineralization, Al, Ba, Ca, Cu, Fe, K, Li, Mg, Mn, Na, P, Sb, Se and Zn were determined by ICP-OES. The electrochemical properties of a selected group of EVOOs and other vegetal oils of different botanical origin were investigated by voltammetry. Carbon paste electrodes (CPEs) were prepared. The features observed in the voltammograms reflect the reactions of electroactive compounds, which are present in the oils. A chemometric treatment of the results was performed to assess the possibility to distinguish (i) the region of provenience considering the inorganic profile; and (ii) the plant species from which each oil was obtained on the basis of the current profile registered during voltammetric analysis. Inorganic composition seems to be a useful marker for the assessment of the geographical origin of an EVOO. The EVOO-CPEs voltammetry seems to have a good ability to distinguish the plant species of origin. This method could be useful to monitor the conservation status of the oils, as the redox profile is linked to the oxidative degradation state.

Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure

Extra-virgin olive oil (EVOO) is subjected to different frauds. This work aimed at integrating the untargeted phenolic and sterol signatures with supervised multivariate discriminant analysis (OPLS-DA) and Artificial Neural Networks (ANN) for tracing the authenticity (as a function of variety, origin, and the blending) of Taggiasca Ligure, a renowned Italian EVOO. Overall, 408 samples from three consecutive growing seasons were used. Despite the cultivar, season, growth altitude, and geographical origin were all contributing to phytochemical profile, OPLS-DA models allowed identifying specific markers of authenticity. Cholesterol-derivatives and phenolics (tyrosols and oleuropeins, stilbenes, lignans, phenolic acids, and flavonoids) were the best markers, based on statistics. Thereafter, ANN was used to discriminate authentic Taggiasca, and the sensitivity was 100% (32/32) thus indicating an excellent classification.Our results strengthen the concept of “terroir” for EVOO and indicate that profiling sterols and phenolics can support EVOO integrity if adequate data treatments are adopted.

Volatile Olfactory Profiles of Umbrian Extra Virgin Olive Oils and Their Discrimination through MOX Chemical Sensors.

Extra virgin olive oil (EVOO) is the best vegetable oil worldwide but, at the same time, is one of the product victims of fraud in the agri-food sector, and the differences about quality within the extra-virgin olive oil category are often missed. Several scientific techniques were applied in order to guarantee the authenticity and quality of this EVOO. In the present study, the volatile compounds (VOCs) by gas chromatography–mass spectrometry with solid-phase micro-extraction detection (GC–MS SPME), organoleptic analysis by the official Slow Food panel and the detection by a Small Sensor System (S3) were applied. Ten EVOOs from Umbria, a central Italian region, were selected from the 2021 Slow Food Italian extra virgin olive oil official guide, which includes hundreds of high-quality olive oils. The results demonstrated the possibility to discriminate the ten EVOOs, even if they belong to the same Italian region, by all three techniques. The result of GC–MS SPME detection was comparable at the discrimination level to the organoleptic test with few exceptions, while the S3 was able to better separate some EVOOs, which were not discriminated perfectly by the other two methods. The correlation analysis performed among and between the three methodologies allowed us to identify 388 strong associations with a p value less than 0.05. This study has highlighted how much the mix of VOCs was different even among few and localized EVOOs. The correlation with the sensor detection, which is faster and chipper compared to the other two techniques, elucidated the similarities and discrepancies between the applied methods.

Delineating unique and discriminant chemical traits in Brazilian and Italian extra-virgin olive oils by quantitative 2D-fingerprinting and pattern recognition algorithms

Brazil is the second-largest importer, after the United States, of extra-virgin olive oils with an internal production that just reaches 0.25 % of the volume imported and consumed. Information about diagnostic chemical signatures characterizing Brazilian oils is lacking, especially as related to geographical markers and key-aroma compounds distribution. This study fills this gap; by comprehensive two-dimensional gas chromatography (GC×GC) combined with headspace solid-phase microextraction (HS-SPME) and parallel detection (MS/FID), diagnostic quali-quantitative signatures of volatiles from Brazilian oils are obtained. Comprehensively mapping of untargeted and targeted (UT) features through fingerprinting algorithms provides effective classification models, benchmarking Brazilian oils (n = 28) vs. a large selection of Italian high-quality extra-virgin olive oils (n = 111). Identitation of Brazilian oils is achieved by combining six different feature selection strategies, the resulting pattern of predictors includes: 1-methoxy-2-propanol, ethyl acetate, (E)-4,8-dimethyl-1,3,7-nonatriene, propanoic acid, limonene, (E)-2-hexenal, hexanoic acid, pentanal, butanoic acid, hexanal, α-pinene, (E)-β-ocimene, and propanal. Compositional differences also are evidenced in composite-class images resembling 2D patterns characteristic of the two production areas. Quantitative fingerprinting, resembling an artificial intelligence smelling machine, characterizes the unique aroma with 1-penten-3-one and (Z)− 3-hexenal, dominating with pungent and green notes, followed by (E)− 2-hexenal (bitter-almond), (E,E)− 2,4-heptadienal (fatty), eucalyptol (herbal), benzaldehyde (almond), hexanal (green), and (E)− 2-hexen-1-ol (green grass).

FTIR coupled with machine learning to unveil spectroscopic benchmarks in the Italian EVOO

AbstractNon‐destructive analytical analyses coupled with classification and regression algorithms are promising techniques for monitoring quality, traceability and safety assessment in food industry. To prevent food fraud, Italian Extra Virgin Olive Oil (EVOO) is particularly held in check. Here, attenuated total Reflectance‐Fourier Transform Infrared spectroscopy (ATR‐FTIR) with Machine Learning is carried out to study an Italian EVOO data set coming from 6 regions to verify the geographical traceability, the cultivar and the repeatability of the agronomical practices, till the adulterated EVOO from soy and corn. The present work is carried out without reagents or esterification processes and considering the entire frequency range without any spectral windows selection, drastically reducing time and costs. Toscana, Lazio, Puglia and Calabria result regions well reproducible in terms of geo‐traceability, unlike the Sicilia and Umbria. The model extracts spectral benchmarks in EVOO in the following vibrational modes at 3004, 2952, 2922, 2852, 1742 and 1160 cm‐1.

Geographical indications' prices and marketing margins: the role of group size, longevity and production decisions

PurposeGeographical indication (GI) labels aim to improving farmers' and processors' income. This article studies how characteristics related to GI groups and their reputation (e.g. the producer group size, longevity and production decisions) are related to prices at the origin, final (consumption) prices and marketing margins.Design/methodology/approach The authors use 8 years of annual data for the Italian Extra Virgin Olive Oil (EVOO) GI market encompassing 46 GI EVOOs. Estimated parameters characterizing the relationship between the GI's group features and prices (at origin and at consumption) are obtained via Three-Stage Least Squares (3SLS).FindingsResults show that the number of GI operators is related to consumption prices, while is weakly related to prices at the origin. GIs' age is not associated with higher consumption prices, while origin prices are lower for older GIs compared to younger ones. Higher farmers' olive/oil conversion rate is associated with lower origin and consumption prices, whereas the extent of vertical integration is related to higher prices at the origin and a higher share of the marketing margins going to producers.Originality/valueTo the best of their knowledge, the authors offer the first empirical evidence on how structural characteristics and production decisions of a GI group relate to prices and marketing margins.

Comparison of lipid profile of Italian Extra Virgin Olive Oils by using rapid chromatographic approaches

The following research focuses on the characterization of the major components of Extra Virgin Olive Oils (EVOOs), viz. triacylglycerols (TAGs), analyzed both in their intact form and after conversion into fatty acid methyl esters (FAMEs). Samples coming from different Italian regions were evaluated in order to obtain quali/quantitative information, which can be correlated to the cultivar, label and/or place of origin. Two fast chromatographic methods were developed for the determination of TAGs and FAMEs in 200 EVOOs by liquid and gas chromatography, respectively. In both cases, a mass spectrometry library with embedded Linear Retention Indices was explored for the identification of single molecular species. Principal components analysis was performed as a multivariate display method; the score plots showed a clear demarcation between southern and central-northern regions, as well as a discrimination based on the variety of olives. In particular, southern EVOOs were satisfactorily differentiated on the basis of the cultivar, while the central-northern EVOOs showed a partial overlapping, unless a significant reduction of the total variability was carried out, considering only EVOOs produced according to a specific regulation, e.g. oils labelled with Protected Designation of Origin.

Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches

Geographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of true labelling in some countries. Nevertheless, official methods for such specific authentication of EVOOs are still missing. Among the analytical techniques useful for certification of geographical origin, nuclear magnetic resonance (NMR) and mass spectroscopy (MS), combined with chemometrics, have been widely used. This review considers published works describing the use of these analytical methods, supported by statistical protocols such as multivariate analysis (MVA), for EVOO origin assessment. The research has shown that some specific countries, generally corresponding to the main worldwide producers, are more interested than others in origin assessment and certification. Some specific producers such as Italian EVOO producers may have been focused on this area because of consumers’ interest and/or intrinsic economical value, as testified also by the national concern on the topic. Both NMR- and MS-based approaches represent a mature field where a general validation method for EVOOs geographic origin assessment could be established as a reference recognised procedure.

Agricultural landscape certification as a market-driven tool to reward the provisioning of cultural ecosystem services

Traditional agricultural landscapes provide cultural ecosystem services to human communities. However, the limited profitability of these landscapes often discourages farmers from preserving them. The current research evaluates: (i) whether the market would reward farmers providing a cultural ecosystem service, through an increased willingness to pay (WTP), for a food product with a traditional agricultural landscape certification; and (ii) what happens to the WTP when a food product reports multiple certifications, including the traditional agricultural landscape one. A convenience sample of Italian extra-virgin olive oil (EVOO) buyers was involved in a non-hypothetical random nth price auction to determine the WTP for 250 ml EVOO bottles carrying different certification bundles. These bundles were composed of different combinations of three certifications: Organic, Protected Designation of Origin, and a traditional agricultural landscape certification associated with the preservation of terraced olive groves. The findings indicate that the traditional agricultural landscape certification receives a premium price both when EVOO carries it individually or combined with other labels. In the latter case, results show sub-additivity of premium prices. The current research proves that traditional agricultural landscapes are not necessarily bound to market failure; however, costs faced by farmers to maintain them can be rewarded through the market.

Effects of Ultrasound Technology on the Qualitative Properties of Italian Extra Virgin Olive Oil.

The development of innovative technologies in the mechanical extraction process of extra virgin olive oil can improve its quality standards through the modulation of physical, chemical and biochemical processes. Extra virgin olive oil quality and varietal differentiation are influenced by many factors, particularly the extraction. The use of ultrasound technology in the extraction process does not affect the quality, the composition, and the thermal properties of the oil, facilitating its separation from solids, and it allows the release of active compounds from the olive paste, with a positive influence on the phenolic content. In this study, the impact of ultrasound technologies was evaluated on merceological parameters, quality profile, and organoleptic features of extra virgin olive oils extracted from whole and destoned olives of the three main Italian cultivars (i.e., Peranzana, Canino, and Coratina). The parameters analyzed were influenced by both genotype and treatment, in particular, sonication did not lead to significant changes in the nutraceutical profile of the oils. The de-stoned olives were able to determine a great improvement of oil quality both for phenolic and volatile composition with a significant enhancement of health and sensory properties of the product.

Geographical identification of Italian extra virgin olive oil by the combination of near infrared and Raman spectroscopy: A feasibility study

The potential of the combination of near infrared (NIR) spectroscopy and Raman spectroscopy to differentiate Italian and Greek extra virgin olive oil (EVOO) by geographical origin was evaluated. Near infrared spectroscopy and Raman fingerprints of both study groups (extra virgin olive oil from the two countries) were pre-processed, merged by low-level and mid-level data fusion strategies and submitted to partial least-squares discriminant analysis. The classification models were cross-validated. After low-level data fusion, the partial least-squares discriminant analysis correctly predicted the geographical origins of extra virgin olive oils in cross-validation with 93.9% accuracy, while sensitivity and specificity were 77.8% and 100%, respectively. After mid-level data fusion, the partial least-squares discriminant analysis correctly predicted the geographical origins of extra virgin olive oils in cross-validation with 97.0% accuracy, while sensitivity and specificity were 88.9% and 100%, respectively. In this preliminary study, improved discrimination of Italian extra virgin olive oils was achieved by the synergism of near infrared spectroscopy and Raman spectroscopy as compared to the discrimination obtained by the separate laboratory techniques. This pilot study shows encouraging results that could open a new avenue for the authentication of Italian extra virgin olive oil.

A first elemental pattern and geo-discrimination of Italian EVOO by energy dispersive X-ray fluorescence and chemometrics

Varietals and geographic location are a distinct quality brand in Extra Virgin Olive Oil (EVOO) production. Italy represents one of the most producers. Here, a pilot study in assessing the elemental geo-markers of Italian EVOO through a semiquantitative EDXRF analysis together with Chemometrics are carried out to find the way to discriminate EVOOs. Elemental geo-benchmarks for ten investigated Italian regions, main cultivars and heavy-metal contamination are assessed. Fe, Ni, and Ti benchmark Lazio where the Biancolilla seems to be the main cultivar used. Two specific trends for Lazio samples are highlighted along north and south areas. A heavy-metal contamination by As is found in Sicilia representing a separated cluster in the PCA model. The Puglia samples are characterized by Ni, Fe and Ti. Nocellara and Biancolilla are the cultivars mainly used. The Zn, together with Ca characterized the investigated soils samples. Finally, monocultivar declared by local producers are almost never fulfilled.

Chromatographic Fingerprinting Enables Effective Discrimination and Identitation of High-Quality Italian Extra-Virgin Olive Oils.

The challenging process of high-quality food authentication takes advantage of highly informative chromatographic fingerprinting and its identitation potential. In this study, the unique chemical traits of the complex volatile fraction of extra-virgin olive oils from Italian production are captured by comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry and explored by pattern recognition algorithms. The consistent realignment of untargeted and targeted features of over 73 samples, including oils obtained by different olive cultivars (n = 24), harvest years (n = 3), and processing technologies, provides a solid foundation for sample identification and discrimination based on production region (n = 6). Through a dedicated multivariate statistics workflow, identitation is achieved by two-level partial least-square (PLS) regression, which highlights region diagnostic patterns accounting between 58 and 82 of untargeted and targeted compounds, while sample classification is performed by sequential application of soft independent modeling for class analogy (SIMCA) models, one for each production region. Samples are correctly classified in five of the six single-class models, and quality parameters [i.e., sensitivity, specificity, precision, efficiency, and area under the receiver operating characteristic curve (AUC)] are equal to 1.00.

Variability in the temporal perception of polyphenol-related sensations in extra virgin olive oil and impact on flavor perception

Polyphenol-related sensations (PRS) in extra virgin olive oil (EVOO), i.e. bitterness, pungency and astringency, are often identified by consumers as negative drivers of preference. A deep comprehension of how these sensations interact is a fundamental step to better understand consumers’ preferences toward EVOO. Perception of PRS proved to be variable on an individual basis, but studies that involve the EVOO matrix and that consider the whole consumption experience are lacking. Thus, the purpose of this study was to explore the variability in PRS perception in EVOO and to evaluate the impact of this perceptual variability on flavor perception over time.For this study, 11 Italian EVOOs were initially considered as well representative of the expected variability in terms of olive tree cultivars and areas of production. Projective Mapping followed by Ultra-Flash Profile were used to get the six EVOOs that formed the most diverse subset with respect to PRS. A panel of 19 assessors (9 females) was characterized for the perception of bitterness, astringency and pungency through intensity evaluation of water solutions with five levels of increasing concentration of the solute related to a specific PRS, independently for each oral sensation. PRS perception responses were used to split the panel into two groups, one with a higher level of perception to PRS (HP-PRS) and one with a lower level of perception to PRS (LP-PRS).After training on EVOO descriptors, both groups evaluated the samples dynamically and in triplicate, using Temporal Check-All-That-Apply methodology. Differences in PRS perception were confirmed in EVOO samples and were shown to impact flavor perception over time. Pungency and astringency were the major modulators of the temporal flavor perception, whereas bitterness had a negligible role.The findings in this study are a contribution to improve the understanding of dynamics of perception in EVOO and provided insights that may be helpful to promote EVOO sensory evaluation.

Sustainability Certification, a New Path of Value Creation in the Olive Oil Sector: The ITALIAN Case Study.

The Italian extra virgin olive oil supply chain has considerable potential for embarking on a path of sustainable development and evolution. In Italy, the great variety heritage and the different pedo-climatic characteristics result in local olive growing systems with different management techniques, producing extra virgin olive oils that are strictly entwined to the territory, with peculiar qualitative properties. Nevertheless, numerous criticalities have been traditionally eroding the competitiveness of Italian olive growing that could find in sustainability certifications, a lasting driver of value creation. Shared standardizations and certifications that include the three pillars of sustainability are therefore necessary for the development of the process.

Differentiation of Italian extra-virgin olive oils.

Differentiation of Italian extra-virgin olive oils.

Bioactive Secoiridoids in Italian Extra-Virgin Olive Oils: Impact of Olive Plant Cultivars, Cultivation Regions and Processing.

In the last two decades, phenolic compounds occurring in olive oils known as secoiridoids have attracted a great interest for their bioactivity. Four major olive oil secoiridoids, i.e., oleuropein and ligstroside aglycones, oleacin and oleocanthal, were previously characterized in our laboratory using reversed-phase liquid chromatography with electrospray ionization-Fourier transform-mass spectrometry (RPLC-ESI-FTMS). The same analytical approach, followed by multivariate statistical analysis (i.e., Principal Component Analysis), was applied here to a set of 60 Italian extra-virgin olive oils (EVOO). The aim was to assess the secoiridoid contents as a function of olive cultivars, place of cultivation (i.e., different Italian regions) and olive oil processing, in particular two- vs. three-phase horizontal centrifugation. As expected, higher secoiridoid contents were generally found in olive oils produced by two-phase horizontal centrifugation. Moreover, some region/cultivar-related trends were evidenced, as oleuropein and ligstroside aglycones prevailed in olive oils produced in Apulia (Southern Italy), whereas the contents of oleacin and oleocanthal were relatively higher in EVOO produced in Central Italy (Tuscany, Lazio and Umbria). A lower content of all the four secoiridoids was generally found in EVOO produced in Sicily (Southern Italy) due to the intrinsic low abundance of these bioactive compounds in cultivars typical of that region.

Differentiation of Italian extra virgin olive oils by rapid evaporative ionization mass spectrometry

The present work aims to differentiate Italian extra virgin olive oils through the analysis of about 100 samples for the building of a spectral database useful for the comparison beetwen top-quality oils. High-quality oils belonging to two different harvest years and coming from different Italian regions, labelled as PDO (Protected Denomination of Origin) or obtained from a single variety of olives (monocultivar), were available.Rapid Evaporative Ionization Mass Spectrometry, in combination with a monopolar handpiece as sampling device was explored for the first time on liquid and poorly conductive samples. Multivariate analyses were applied to build different chemometric models. The monocultivar oils gave positive feedback, leading to the reliable identification of each cultivar. The recognition of PDO oils resulted more challenging (failure percentage > 5%), probably due to the major intra-class variability, since oils labelled with the same PDO trademark often are produced from different cultivar in different percentages.