scholarly journals A method for gaining a deeper insight into the aroma profile of olive oil

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Daisuke Suzuki ◽  
Yuko Sato ◽  
Akane Mori ◽  
Hirotoshi Tamura
Keyword(s):  
Olive Oil ◽  
Volatile Compounds ◽  
Matrix Effect ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Consumer Preference ◽  
Extra Virgin Olive Oil ◽  
Aroma Profile ◽  
Extraction Solvent ◽  
The Matrix

AbstractVolatile compounds in food play a crucial role in affecting food quality and consumer preference, but the volatile compounds in olive oil are not fully understood due to the matrix effect of oil. The oiling-out assisted liquid–liquid extraction (OA-LLE), which we previously reported, is an effective method for isolating volatile compounds from edible oils with a strong matrix effect. However, when we apply OA-LLE to extra virgin olive oil (EVOO), the aromatic extracts contain non-volatile compounds such as pigments because of solvent-based extraction. Solvent-assisted flavor evaporation (SAFE) can remove such non-volatiles from extracts, but SAFE is affected by a matrix effect during distillation, resulting in a decrease in performance. By combining the advantages of OA-LLE and SAFE, we propose an effective approach, OA-LLE followed by SAFE (OA-LLE + SAFE), for extracting aroma compounds from EVOO. The “two assists” should help to better understand the native aroma profile of EVOO.

scholarly journals Impact of Emerging Technologies on Virgin Olive Oil Processing, Consumer Acceptance, and the Valorization of Olive Mill Wastes

Antioxidants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 417
Author(s):  
Maria Pérez ◽  
Anallely López-Yerena ◽  
Julián Lozano-Castellón ◽  
Alexandra Olmo-Cunillera ◽  
Rosa M. Lamuela-Raventós ◽  
...  
Keyword(s):  
Olive Oil ◽  
Electric Fields ◽  
Emerging Technologies ◽  
Virgin Olive Oil ◽  
Consumer Preference ◽  
Extra Virgin Olive Oil ◽  
Microwave Treatment ◽  
Olive Mill Wastes ◽  
Minor Compounds ◽  
Olive Mill

There is a growing consumer preference for high quality extra virgin olive oil (EVOO) with health-promoting and sensory properties that are associated with a higher content of phenolic and volatile compounds. To meet this demand, several novel and emerging technologies are being under study to be applied in EVOO production. This review provides an update of the effect of emerging technologies (pulsed electric fields, high pressure, ultrasound, and microwave treatment), compared to traditional EVOO extraction, on yield, quality, and/or content of some minor compounds and bioactive components, including phenolic compounds, tocopherols, chlorophyll, and carotenoids. In addition, the consumer acceptability of EVOO is discussed. Finally, the application of these emerging technologies in the valorization of olive mill wastes, whose generation is of concern due to its environmental impact, is also addressed.

scholarly journals Polyphenols: From Theory to Practice

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2595
Author(s):  
Alberto Bertelli ◽  
Marco Biagi ◽  
Maddalena Corsini ◽  
Giulia Baini ◽  
Giorgio Cappellucci ◽  
...  
Keyword(s):  
Matrix Effect ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Biological Properties ◽  
Health Claims ◽  
In Vitro Tests ◽  
The Matrix ◽  
Gender Characteristics

Background: The importance of polyphenols in human health is well known; these compounds are common in foods, such as fruits, vegetables, spices, extra virgin olive oil and wine. On the other hand, the different factors that modulate the biological activity of these compounds are less well known. Conceptualization of the work: In this review we took into account about 200 relevant and recent papers on the following topics: “polyphenols bioavailability”, “polyphenols matrix effect”, “food matrix effect”, “polyphenols-cytochromes interaction”, after having reviewed and updated information on chemical classification and main biological properties of polyphenols, such as the antioxidant, anti-radical and anti-inflammatory activity, together with the tricky link between in vitro tests and clinical trials. Key findings: the issue of polyphenols bioavailability and matrix effect should be better taken into account when health claims are referred to polyphenols, thus considering the matrix effect, enzymatic interactions, reactions with other foods or genetic or gender characteristics that could interfere. We also discovered that in vitro studies often underrate the role of phytocomplexes and thus we provided practical hints to describe a clearer way to approach an investigation on polyphenols for a more resounding transfer to their use in medicine.

scholarly journals Influence of Extraction Techniques on Physicalchemical Characteristics and Volatile Compounds of Extra Virgin Olive Oil

2014 ◽  
Vol 63 (9) ◽  
pp. 875-883 ◽  
Author(s):  
Maria Grazia Volpe ◽  
Fausta De Cunzo ◽  
Francesco Siano ◽  
Marina Paolucci ◽  
Costantina Barbarisi ◽  
...  
Keyword(s):  
Olive Oil ◽  
Volatile Compounds ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Extraction Techniques

EXPRESS: Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Classes of Naturally Aged, Plant-Based Edible Oils

2020 ◽  
pp. 000370282097470
Author(s):  
Joshua M. Ottaway ◽  
J. Chance Carter ◽  
Kristl L Adams ◽  
Joseph Camancho ◽  
Barry Lavine ◽  
...  
Keyword(s):  
Olive Oil ◽  
Peroxide Value ◽  
Near Infrared ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Spectroscopic Techniques ◽  
Least Squares Regression ◽  
Mid Infrared ◽  
Calibration Models

The peroxide value (PV) of edible oils is a measure of the degree of oxidation, which directly relates to the freshness of the oil sample. Several studies previously reported in the literature have paired various spectroscopic techniques with multivariate analyses to rapidly determine PVs using field portable and process instrumentation; those efforts presented ‘best-case’ scenarios with oils from narrowly defined training and test sets. The purpose of this paper is to evaluate the use of near- and mid-infrared absorption and Raman scattering spectroscopies on oil samples from different oil classes, including seasonal and vendor variations, to determine which measurement technique, or combination thereof, is best for predicting PVs. Following PV assays of each oil class using an established titration-based method, global and global-subset calibration models were constructed from spectroscopic data collected on the 19 oil classes used in this study. Spectra from each optical technique were used to create partial least squares regression (PLSR) calibration models to predict the PV of unknown oil samples. A global PV model based on near-infrared (8 mm optical path length – OPL) oil measurements produced the lowest RMSEP (4.9), followed by 24 mm OPL near infrared (5.1), Raman (6.9) and 50 μm OPL mid-infrared (7.3). However, it was determined that the Raman RMSEP resulted from chance correlations. Global PV models based on low-level fusion of the NIR (8 and 24 mm OPL) data and all infrared data produced the same RMSEP of 5.1. Global subset models, based on any of the spectroscopies and olive oil training sets from any class (pure, extra light, extra virgin), all failed to extrapolate to the non-olive oils. However, the near-infrared global subset model built on extra virgin olive oil could extrapolate to test samples from other olive oil classes.

Detection and quantification of extra virgin olive oil adulteration with edible oils by FT-IR spectroscopy and chemometrics

2015 ◽  
Vol 7 (9) ◽  
pp. 3939-3945 ◽  
Author(s):  
Xiaodan Sun ◽  
Weiqi Lin ◽  
Xinhui Li ◽  
Qi Shen ◽  
Hongyuan Luo
Keyword(s):  
Ir Spectroscopy ◽  
Olive Oil ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Ft Ir ◽  
Detection And Quantification ◽  
Ft Ir Spectroscopy

The adulterated oils, including the type of adulterants and levels of adulteration, are identified from extra virgin olive oil using FT-IR spectroscopy coupled with chemometrics.

scholarly journals Evaluation of Extra Virgin Olive Oil Adulteration with Edible Oils using ATR-FTIR Spectroscopy

2020 ◽  
Vol 5 (1) ◽  
pp. 35-44
Author(s):  
Nuraznee Mashodi ◽  
Nurul Yani Rahim ◽  
Norhayati Muhammad ◽  
Saliza Asman
Keyword(s):  
Linear Regression ◽  
Olive Oil ◽  
Ftir Spectroscopy ◽  
Corn Oil ◽  
Edible Oils ◽  
Limit Of Detection ◽  
Linear Regression Analysis ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Regression Graph

Extra virgin olive oil (EVOO) is categorized as expensive oil due to high-quality nutritional value. Unfortunately, EVOO is easily adulterated with other low-quality edible oils. Therefore, this study was done to differentiate and analyze the adulteration of EVOO with other edible oils using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy. The study was used several edible oils included canola oil, corn oil, sunflower oil, and soybean oil as an adulterant for EVOO. The adulterant EVOO samples were prepared by mixing with dissimilar concentrations of the solely edible oils (20 %, 40 %, 60 % and 80 % (v/v)). The main functional groups of EVOO and other edible oils are O-H, C-H, C=C and C=O groups were assigned around 3500 cm-1, 2925 cm-1, 3006 cm-1 and 1745 cm-1 wavenumbers, respectively. From the comparison of EVOO and other adulterant edibles oil spectra, it showed that the EVOO has the lowest absorbance intensity at around 3006 cm-1 represented double bond which is closely related to the composition of oil sample. The adulteration of EVOO was evaluated by analysing the changes in the absorbance based on the linear regression analysis graph of the bands at 3006 and 2925 cm-1 and the limit of detection (LOD) was measured. The graph of A3008/A2925 with good relative coefficients (R2) and lower LOD is more favourable than the linear regression graph of A3006 versus percentage of edible oils added in EVOO. This study showed that ATR-FTIR spectroscopy is a convenient tool for analysing the adulteration of EVOO.

scholarly journals Conventional and Ultra-fast Analysis Exposing the Harvest Date Impact on Lebanese Olive Oil: The Soury Variety

2021 ◽  
Vol 10 (1) ◽  
pp. 39
Author(s):  
Omar H. Dib ◽  
Christophe B. Y. Cordella ◽  
Rita Yaacoub ◽  
Hussein Dib ◽  
Nathalie Locquet ◽  
...  
Keyword(s):  
Olive Oil ◽  
Volatile Compounds ◽  
Oil Quality ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Quality Parameters ◽  
Harvest Date ◽  
Fast Analysis ◽  
Total Polyphenol ◽  
The Impact

The impact of harvest period on the quality parameters, polyphenols, fatty acids, sterols, and volatile compounds of Lebanese olive oil from the Soury variety was investigated in this study. Two groups of olive oil were compared, each with a specific harvest date. HD1 was harvested in October, whereas HD2 was picked in November. The analysis of both olive oil categories showed that HD2 witnessed a significant increase in all quality parameters except K270 and a decrease in total polyphenol content from 138 mg/mL to 44 mg/mL. Oleic and linoleic acids had an inverse relation, where the former decreased and the latter increased with the harvest date’s advancement. Palmitic acid in both groups was higher than the standards set for extra virgin olive oil. The relative amount of β -Sitosterol was mainly found to decrease, while those of stigmasterol, ∆5,24 -stigmastadienol, ∆7 -stigmastenol, and ∆7 -avenasterol increased with delaying harvest time. As for the volatile compounds, principle component analysis was used on the flash GC data to differentiate HD1 from HD2. Ethanol was found mostly characterizing HD2, whereas HD1 was influenced by 1-hexanol and (E,E)-2,4-decadienal. It can be concluded that the Soury variety should be harvested early, and a delay would result in the declassification of Lebanese olive oil quality from extra virgin to virgin olive oil.

scholarly journals Authenticity and Concentration Analysis of Extra Virgin Olive Oil Using Spontaneous Raman Spectroscopy and Multivariate Data Analysis

2019 ◽  
Vol 9 (12) ◽  
pp. 2433 ◽  
Author(s):  
Shiyamala Duraipandian ◽  
Jan C. Petersen ◽  
Mikael Lassen
Keyword(s):  
Raman Spectroscopy ◽  
Olive Oil ◽  
Rapeseed Oil ◽  
Corn Oil ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Ternary Mixtures ◽  
Calibration Models ◽  
Oil Mixtures

Adulteration of extra virgin olive oil (EVOO) with cheaper edible oils is of considerable concern in the olive oil industry. The potential of Raman spectroscopy combined with multivariate statistics has been investigated for evaluating the authenticity (or purity) and concentration of EVOO irrespective of it being adulterated with one or more adulterants. The adulterated oil samples were prepared by blending different concentrations of EVOO (10–100% v/v) randomly with cheaper edible oils such as corn, soybean and rapeseed oil. As a result, a Raman spectral database of oil samples (n = 214 spectra) was obtained from 11 binary mixtures (EVOO and rapeseed oil), 16 ternary mixtures (EVOO, rapeseed and corn oil) and 44 quaternary mixtures (EVOO, rapeseed, corn and soybean oil). Partial least squares (PLS) calibration models with 10-fold cross validation were constructed for binary, ternary and quaternary oil mixtures to determine the purity of spiked EVOO. The PLS model on the complex dataset (binary + ternary + quaternary) where the spectra obtained with different measurement parameters and sample conditions can able to determine the purity of spiked EVOO inspite of being blended with one or more cheaper oils. As a proof of concept, in this study, we used single batch of commercial oil bottles for estimating the purity of EVOO. The developed method is not only limited to EVOO, but can be applied to clean EVOO obtained from the production site and other types of food.

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