scholarly journals Assessment of Virgin Olive Oil Adulteration by a Rapid Luminescent Method

Foods ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 287 ◽  
Author(s):  
González-Domínguez ◽  
Sayago ◽  
Morales ◽  
Fernández-Recamales
Keyword(s):  
Regression Model ◽  
Olive Oil ◽  
Food Industry ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Hazelnut Oil ◽  
Excellent Performance ◽  
Model Based ◽  
Oil Components ◽  
Luminescent Method

The adulteration of virgin olive oil with hazelnut oil is a common fraud in the food industry, which makes mandatory the development of accurate methods to guarantee the authenticity and traceability of virgin olive oil. In this work, we demonstrate the potential of a rapid luminescent method to characterize edible oils and to detect adulterations among them. A regression model based on five luminescent frequencies related to minor oil components was designed and validated, providing excellent performance for the detection of virgin olive oil adulteration.

scholarly journals Detection of Hazelnut Oil in Virgin Olive Oil by Assessment of Free Sterols and Triacylglycerols

2001 ◽  
Vol 84 (5) ◽  
pp. 1534-1542 ◽  
Author(s):  
Stefania Vichi ◽  
Lorena Pizzale ◽  
Emilio Toffano ◽  
Renzo Bortolomeazzi ◽  
Lanfranco Conte
Keyword(s):  
Olive Oil ◽  
Solid Phase ◽  
Virgin Olive Oil ◽  
Hazelnut Oil ◽  
Phase Extraction ◽  
Silica Column ◽  
Free Sterols ◽  
Oil Fractions ◽  
Triacylglycerol Analysis ◽  
Statistical Certainty

Abstract Free sterols were evaluated as factors for discriminating between genuine virgin olive oil and hazelnut-mixed virgin olive oil. Numeric analyses of the results amplified the differences between groups. The application of this method to virgin olive oil samples and their mixtures with 10% hazelnut oil distinguished between genuine and nongenuine virgin olive oil with statistical certainty. Triacylglycerol analysis was tested for the same purpose by using parameter ΔECN42, but although it possessed a discriminating capacity, it alone could not distinguish the aforementioned groups with sufficient certainty. Free Δ7-sterols data were combined with ΔECN42 data into a single discriminating function to improve differentiation and bring more ruggedness, and for detection of low amounts (10%) of hazelnut oil in virgin olive oil. In fact, the values obtained by addition of Δ7-sterol data and ΔECN42 data showed a higher discriminating capacity than single parameters. In a single operation the method produced all the oil fractions necessary for analysis of free sterols and triacylglycerols with ECN42. Solid-phase extraction was applied in substitution of traditional chromatography on a silica column.

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.

Oleogels as spreadable fat and butter alternatives: sensory description and consumer perception

RSC Advances ◽  
2015 ◽  
Vol 5 (62) ◽  
pp. 50259-50267 ◽  
Author(s):  
Emin Yılmaz ◽  
Mustafa Öğütcü
Keyword(s):  
Olive Oil ◽  
Virgin Olive Oil ◽  
Consumer Perception ◽  
Hazelnut Oil

Sensory and consumer tests showed that virgin olive oil- and hazelnut oil–beeswax oleogels could be spreadable margarine and butter alternatives.

scholarly journals Formulations of Rancid and Winey-Vinegary Artificial Olfactory Reference Materials (AORMs) for Virgin Olive Oil Sensory Evaluation

Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1870
Author(s):  
Ramón Aparicio-Ruiz ◽  
Sara Barbieri ◽  
Tullia Gallina Toschi ◽  
Diego L. García-González
Keyword(s):  
Olive Oil ◽  
Edible Oils ◽  
Virgin Olive Oil ◽  
Strict Sense ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
International Regulations ◽  
Sensory Defects ◽  
And Control

Sensory assessment of virgin olive oil (“panel test”) is the only sensory method included in international regulations of edible oils and its application is compulsory. Even if its application has been a success in quality control, improving the quality of virgin olive oils over the last 30 years, at present, there is no reference material (RM), in the strict sense of the term, to be used as a validated standard for sensory defects of virgin olive oil with which tasters can be trained. Usually, real samples of virgin olive oils assessed by many panels for the International Olive Council (IOC) ring tests are used as materials of reference in panel training and control. The latter are highly representative of the main perceived defects, but availability is limited, samples are not homogeneous year after year, and other secondary defects can be present. Thus, in order to provide solutions, this work describes an analytical procedure for implementing olfactory formulations that emulate rancid and winey-vinegary defects found in virgin olive oils with the aim of providing reproducible RMs that can be prepared on demand. A strategy for designing RMs for aroma is presented and the optimization process to obtain the best formulation is described. Under the criteria of representativeness, verified with the advice of the IOC, aroma persistence, and simplicity in formulation, two RMs for winey-vinegary and rancid were obtained by diluting acetic acid and ethanol (winey-vinegary defect) and hexanal (rancid defect) together with other compounds that are used to modify aroma and avoid non-natural sensory notes.

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 E-Nose and Olfactory Assessment: Teamwork or a Challenge to the Last Data? The Case of Virgin Olive Oil Stability and Shelf Life

2021 ◽  
Vol 11 (18) ◽  
pp. 8453
Author(s):  
Margherita Modesti ◽  
Isabella Taglieri ◽  
Alessandro Bianchi ◽  
Alessandro Tonacci ◽  
Francesco Sansone ◽  
...  
Keyword(s):  
Shelf Life ◽  
Olive Oil ◽  
Food Industry ◽  
Technological Development ◽  
Virgin Olive Oil ◽  
Sensor Arrays ◽  
Significant Rise ◽  
Life Assessment ◽  
Current Trends ◽  
The Stability

Electronic nose (E-nose) devices represent one of the most trailblazing innovations in current technological research, since mimicking the functioning of the biological sense of smell has always represented a fascinating challenge for technological development applied to life sciences and beyond. Sensor array tools are right now used in a plethora of applications, including, but not limited to, (bio-)medical, environmental, and food industry related. In particular, the food industry has seen a significant rise in the application of technological tools for determining the quality of edibles, progressively replacing human panelists, therefore changing the whole quality control chain in the field. To this end, the present review, conducted on PubMed, Science Direct and Web of Science, screening papers published between January 2010 and May 2021, sought to investigate the current trends in the usage of human panels and sensorized tools (E-nose and similar) in the food industry, comparing the performances between the two different approaches. In particular, the focus was mainly addressed towards the stability and shelf life assessment of olive oil, the main constituent of the renowned “Mediterranean diet”, and nowadays appreciated in cuisines from all around the world. The obtained results demonstrate that, despite the satisfying performances of both approaches, the best strategy merges the potentialities of human sensory panels and technological sensor arrays, (i.e., E-nose somewhat supported by E-tongue and/or E-eye). The current investigation can be used as a reference for future guidance towards the choice between human panelists and sensorized tools, to the benefit of food manufacturers.

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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