Multiple pharmacological effects of olive oil phenols

Olive oil is a unique component of Mediterranean diet and is likely to be partially responsible for the health effects of this diet. Although the medicinal potential of olive oil has been largely attributed to the antioxidant effects of bio-phenols derived from olive oil, accumulating evidence strongly suggests that, to elucidate olive oil’s benefits to human health, we have to go beyond antioxidants. In this communication, through summarizing the reference-reported and database-recorded pharmacological information of olive oil phenols, we reveal that multiple pharmacological effects, other than antioxidant potential, are involved in olive oil phenols, which is of significance for understanding the health benefits of olive oil in the Mediterranean diet.     

Use of lambda DNA as a marker to assess DNA stability in olive oil during storage

Filtered olive oil samples spiked with three different concentrations of λDNA were stored at 25 °C under a 12 h photoperiod for up to a year. These samples were used for DNA extraction and PCR amplification of λDNA amplicons of 107, 415 and 691 bp length. The amplification signal was gradually decreased with longer storage periods, while the strength of the signal was related to the initial concentration of spiking λDNA particularly during longer storage periods. The 107 bp amplicon was the only one successfully amplified from all the samples, regardless of both concentration of spiking λDNA and storage period. The amplification of 415 and 691 bp amplicons was not successful for samples stored longer than a threshold period of 20 and 10 days, respectively. These results suggest that detection of polymorphic markers requiring DNA templates shorter than 100 bp might have a wider range of applications in DNA fingerprinting of olive oil. In addition, the DNA extracts were tested for the presence of inhibitors in PCR amplification reactions of yeast DNA amplicons. The inhibitory effect of olive DNA extracts was partial and gradually increased with the storage period of the olive oil samples used for the DNA extraction.     

Effects of pasteurisation and storage on quality characteristics of table olives preserved in olive oil

Two types of products obtained from the processing of Olea europaea cv ‘Taggiasca’ were monitored: pitted olives and olive paste preserved in monovarietal extra‐virgin olive oil of the same variety. The aim of this study was to follow the trends in the main physico‐chemical and sensory parameters related to the quality of these table olives and their covering oils, for simulation of the shelf‐life conditions. From all of the analyses carried out, it can be concluded that the optimum time of storage of these two products packaged in glass jars at room temperature (between 18 and 25 °C) and under artificial light and away from heat sources is approximately 9 months. After 9 months of storage, the covering oils were greatly affected by the contact with the broken fruit, which was accompanied by reductions in their antioxidant content due to the thermal treatment. The oxidative effects seen through physico‐chemical analyses are in agreement with the organoleptic analysis.     

《2015年国际橄榄油和食用橄榄协定》解析

《2015年国际橄榄油和食用橄榄协定》（International Agreement on Olive Oil and Table Olives, 2015）是国际商品协定的一种,由联合国于2015年10月9日在日内瓦万国宫谈判后通过。基于此组建的国际橄榄理事会（International Olive Council）是全球橄榄贸易领域的权威组织。该协定最早版本于1959年首签,2015年第六版有效期至2026年12月31日。本文介绍协定内容并就以下方面进行解释：国际橄榄理事会的工作目标,橄榄油和食用橄榄的有关名词术语,成员理事会的组成方式和行政机构,各成员国在理事会的参与份额计算方式。截止2020年成员国方面的变动为伊拉克退出,增加巴勒斯坦、格鲁吉亚两个国家,文中所列成员参与份额为2020更新的数据。另外2021年毛里塔尼亚有望同意签署2015年版本协定,正式加入该组织。了解和熟悉国际橄榄油和食用橄榄协定是中国橄榄油行业融入世界贸易外循环的前提条件。作为国际大宗初级产品的主要进口和出口国,本文介绍的橄榄油和食用橄榄协定的一般原则与组织方式值得借鉴,我国应当在其它初级产品贸易规则的标准制定方面掌握主动,发出更多中国声音,为完善全球治理做出中国贡献。     

The detection of the presence of hazelnut oil in olive oil by free and esterified sterols

Genuine olive and hazelnut oils from diverse geographical origins, as single varieties and blends, were mixed at different percentages and analysed by the method based on the quantification of free and esterified sterols. Two formulas based on three sterols (Campesterol, Δ⁷-stigmastenol and Δ⁷-avenasterol) together with empirical decision rules were able to detect the presence of hazelnut oil in olive oil when the percentage of the former was more than 6–8%, although this figure was much lower in the most of the adulterations. Results of univariate and multivariate statistical procedures based on the analysis of 116 samples are presented in support of the method efficiency.     

Separation and determination of sterols in olive oil by HPLC-MS

This study presents the first liquid chromatographic method for the identification and quantification of seven phytosterols in olive oil. Sterols were identified and quantified by liquid chromatography with mass spectrometry detection in positive APCI (atmospheric pressure chemical ionisation) mode. The samples were saponified by refluxing with 2 N ethanolic KOH, and the non-saponificable fraction was extracted with diethyl ether. This fraction was subjected to thin layer chromatography (TLC) on silica gel plates and then the band of sterols was isolated and extracted with methanol. Sterols were quantified by LC-MS, on a Waters Atlantis 5 μm dC₁₈2,1 × 150 mm column with a gradient of acetonitrile/water (0.01% acetic acid) at a flow of 0.5 mL min⁻¹; column temperature 30 °C. The method presents values between 123 and 677 ng mL⁻¹ for detection limits, with relative standard deviations between 4.0% and 5.4% at a concentration of 5 mg L⁻¹ for each sterol. Sterol contents were determined in a virgin olive oil, a refined olive oil, an olive-pomace oil and a crude olive-pomace oil.     

三维荧光光谱法快速检测橄榄油中掺假廉价油

目的 建立三维荧光光谱结合机器学习快速检测橄榄油中掺假廉价油的方法。方法 采集橄榄油及掺入大豆油、玉米油、棕榈油三种不同浓度梯度油的荧光光谱数据,利用标准差标准化（standardscaler）、标准正态变换（standard normal variate,SNV）、归一化（normalize）三种光谱预处理方法,基于K近邻(K-nearest neighbor,KNN)、随机森林(random forest,RF)、支持向量机(support vector machine,SVM)、偏最小二乘法(partial least squares,PLS)和卷积神经网络(convolutional neural network,CNN) 5种机器学习方法,构建5种橄榄油定量掺假模型。结果 在定性模型中,基于PLS算法构建的模型效果最好,对3种掺假橄榄油的准确率为79%~97%,其中,在鉴定掺假大豆油的橄榄油中正确率高达97%。在构建的掺假油定量模型中,Standardscaler预处理结合RF算法,构建的定量模型最优,Rc2、Rp2、RMSEC、RMSEP最高,分别为1.00、0.99、0.01、0.02。结论 构建橄榄油掺假3种油的定性定量模型,并建立一种快速、实时、低成本的橄榄油掺假检测方法,能够准确判断是否掺入廉价油,并量化掺假程度,提供更全面的橄榄油质量评估。     

Melatonin is a phytochemical in olive oil

Given the numerous observations regarding the positive effects of olive oil consumption and the presence of melatonin in edible plants, we addressed for the first time the question of melatonin determination in virgin olive oil. All the extra virgin olive oil registered designation of origins from Spain and commercial samples of refined olive and sunflower oil were used. Immunoprecipitation and ELISA were combined for melatonin determination. Melatonin is present in olive oil at higher levels in extra virgin olive oil than in refined olive or sunflower oil samples. We concluded that melatonin is part of the phytochemical profile of the olive oil. Particularly, extra virgin olive oil had almost double the melatonin contents of the other refined oils analysed. Thus, melatonin may account for the healthy effects of the Mediterranean diet in which olive oil is the main source of fat.     

Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data

This study focuses on the detection and quantification of extra-virgin olive oil adulteration with different edible oils using mid-infrared (IR) spectroscopy with chemometrics. Mid-IR spectra were manipulated with wavelet compression previous to principal component analysis (PCA). Detection limit of adulteration was determined as 5% for corn–sunflower binary mixture, cottonseed and rapeseed oils. For quantification of adulteration, mid-IR spectral data were manipulated with orthogonal signal correction (OSC) and wavelet compression before partial least square (PLS) analysis. The results revealed that models predict the adulterants, corn–sunflower binary mixture, cottonseed and rapeseed oils, in olive oil with error limits of 1.04, 1.4 and 1.32, respectively. Furthermore, the data were analysed with a general PCA model and PLS discriminant analysis (PLS-DA) to observe the efficiency of the model to detect adulteration regardless of the type of adulterant oil. In this case, detection limit for adulteration is determined as 10%.     

Expert system based on computer vision to estimate the content of impurities in olive oil samples

The determination of the content of impurities is a very frequent analysis performed on virgin olive oil samples, but the official method is quite work-intensive, and it would be convenient to have an alternative approximate method to evaluate the performance of the impurity removal process. In this work we develop a system based on computer vision and pattern recognition to classify the content of impurities of the olive oil samples in three sets, indicative of the goodness of the separation process of olive oil after its extraction from the paste. Starting from the histograms of the channels of the Red–Green–Blue (RGB), CIELAB and Hue-Saturation-Value (HSV) color spaces, we construct an initial input parameter vector and perform a feature extraction previous to the classification. Several linear and non-linear feature extraction techniques were evaluated, and the classifiers used were Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs). The best classification rate achieved was 87.66%, obtained using Kernel Principal Components Analysis (KPCA) and a grade-3-polynomial kernel SVM. The best result using ANNs was 82.38%, yielded by the use of Principal Component Analysis (PCA) with the Perceptron.     

Impact of olive oil phenolic concentration on human plasmatic phenolic metabolites

Three different functional phenol-enriched virgin olive oils (FVOO) were prepared with a phenolic content of 250 (L-FVOO), 500 (M-FVOO), and 750 mg (H-FVOO) total phenols/kg. In a randomised, cross-over study with 12 healthy volunteers, the pharmacokinetics of phenolic biological metabolites was assessed. An increasing linear trend was observed for hydroxytyrosol sulfate, the main phenolic metabolite quantified in plasma, with C_max values of 1.35, 3.32, and 4.09 μmol/l, and AUC mean values of 263.7, 581.4, and 724.4 μmol/min for L-FVOO, M-FVOO, and H-FVOO, respectively. From our data an acute intake of phenol-enriched olive oils promotes a dose-dependent response of phenol conjugate metabolites in human plasma. Also, we point out for the first time hydroxytyrosol acetate sulfate as a main biological metabolite of hydroxytyrosol from olive oil ingestion.     

Detection of olive oil using the Evagreen real-time PCR method

A sensitive real-time PCR method using the novel fluorescence stain Evagreen was established for detection of olive oil. First, a comparative study was made of two different methods for the recovery of high quality DNA from oil samples. Thereby, the Promega wizard DPSF kit proved to be the most suitable for recovery of DNA from oil samples. Second, an olive-specific pair of primers was designed based on the sequence of an olive plasma intrinsic protein cDNA sequence. Experiments with 13 samples including olive, soybean, sesame, sunflower seed, pumpkinseed, walnut, rapeseed, rice, peanut, maize, pig, chicken and fish confirmed that this pair of primers is highly specific for olive. Additional experiments indicated that the absolute detection limit of our test is 0.07 ng olive DNA and that 0.5% olive DNA can be detected against background of 2 ng/μl sesame DNA.     

Effect of the blanching process and olive fruit temperature at milling on the biosynthesis of olive oil aroma

Two sets of experiments were performed in order to study the origin of the modification of olive oil aroma during the industrial heat treatment of olive fruit. Data obtained suggest that both blanching of olive fruit and fruit temperature at milling affect the synthesis of volatile compounds, thus contributing independently to the modification of the aroma volatile profile of olive oil reported for the industrial thermal treatments of olive fruit. Increasing the fruit temperature at milling in the range 20–60 °C produces a decrease in the level of C6 and C5 compounds and a slight modification of the contents of esters. Blanching produced a decrease of the content of C5 compounds independently of the degree of fruit ripening, while esters contents remained unaffected. However, blanching showed to have different effects on the content of C6 compounds in the aroma of olive oil depending on the degree of fruit ripening. Biochemical aspects within the lipoxygenase pathway are discussed in order to explain the results obtained.     

Distribution of olive oil phenolic compounds in rat tissues after administration of a phenolic extract from olive cake

Scope The distribution and accumulation of olive oil phenolic compounds in the body are topics lacked of information. The aim of this study was to evaluate the bioavailability, metabolism and distribution of phenolic compounds from olive cake. Methods and results The metabolism and distribution of phenolic compounds were examined by UPLC‐MS/MS after an acute intake of a phenolic extract from olive cake, analyzing plasma and tissues (heart, brain, liver, kidney, spleen, testicle and thymus) 1, 2 and 4 h after ingestion using Wistar rats as the in vivo model. The results showed a wide distribution of phenolic compounds and their metabolites in the tissues, with a main detoxification route through the kidneys. Highlighting the quantification of the free forms of some phenolic compounds, such as oleuropein derivative in plasma (Cmax 4 h: 24 nmol/L) and brain (Cmax 2 h: 2.8 nmol/g), luteolin in kidney (Cmax 1 h: 0.04 nmol/g), testicle (Cmax 2 h: 0.07 nmol/g) and heart (Cmax 1 h: 0.47 nmol/g); and hydroxytyrosol in plasma (Cmax 2 h: 5.2 nmol/L), kidney (Cmax 4 h: 3.8 nmol/g) and testicle (Cmax 2 h: 2.7 nmol/g). Conclusion After a single ingestion of olive oil phenolic compounds, these were absorbed, metabolized and distributed through the blood stream to practically all parts of the body, even across the blood‐brain barrier.     

Infrared spectroscopy for quantitative analysis and oil parameters of olive oil and virgin coconut oil: A review

Vegetable oils are major lipid sources with high nutritional and calorific values for human diet. Specifically, virgin coconut oil and extra virgin olive oil are the functional oils widely used in food and pharmaceutical products, either as vehicles or main components. The quality of edible oils is determined by its contents and parameters inherent in vegetable oils. Infrared spectroscopy is an ideal technique for quantitative analysis of vegetable oils as well as for determination of oils parameters as the changes in infrared spectra can be associated with the changes of oils parameters. Infrared spectra in complex samples are difficult to interpret, as a consequence, spectroscopist uses additional tools called with chemometrics to analyse edible oils qualitatively and quantitatively. This article reviews the use of infrared spectroscopy combined with chemometrics (multivariate analysis) for quantitative analysis and determination of oil parameters of virgin coconut oil and extra virgin olive oil. Although infrared spectra for edible oils are similar, they exhibit some differences which enable spectroscopist to differentiate due to the nature property of infrared spectroscopy spectra as fingerprint spectra which can be understood that there are no different edible oils having the same infrared spectroscopy spectra.     

Structured lipids obtained by chemical interesterification of olive oil and palm stearin

Interesterification of palm stearin (PS) with liquid vegetable oils could yield a good solid fat stock that may impart desirable physical properties, because PS is a useful source of vegetable hard fat, providing β′ stable solid fats. Dietary ingestion of olive oil (OO) has been reported to have physiological benefits such as lowering serum cholesterol levels. Fat blends, formulated by binary blends of palm stearin and olive oil in different ratios, were subjected to chemical interesterification with sodium methoxide. The original and interesterified blends were examined for fatty acid and triacylglycerol composition, melting point, solid fat content (SFC) and consistency. Interesterification caused rearrangement of triacylglycerol species, reduction of trisaturated and triunsaturated triacylglycerols content and increase in diunsaturated-monosaturated triacylglycerols of all blends, resulting in lowering of melting point and solid fat content. The incorporation of OO to PS reduced consistency, producing more plastic blends. The mixture and chemical interesterification allowed obtaining fats with various degrees of plasticity, increasing the possibilities for the commercial use of palm stearin and olive oil.     

Industrial trials on coadjuvants for olive oil extraction

Industrial scale experiments were performed in an olive oil production factory to assess the effect of different physical acting coadjuvants on oil extraction and oil quality. Up to 120,000 kg olives were processed. Talc and calcium carbonate, with different particle sizes, were assayed at concentrations ranging from 0.3% to 1% by weight. Both coadjuvant types are food grade and are recognized as food additives by EU regulations (E-170 as calcium carbonate and E-553b as talc). Industrial trials were performed at room temperature with no added water, thus avoiding volatile compound loss and hydrosoluble compound content decrease. As a consequence, the obtained oils were more aromatic and their positive attributes more intense, in comparison to other olive oils produced in different operational conditions. In addition, energy requirements were decreased (releasing a lesser amount of carbon dioxide into the atmosphere) and water uptake was kept to a minimum.     

Monitoring of virgin olive oil volatile compounds evolution during olive malaxation by an array of metal oxide sensors

In addition to the sanitary aspects of production and the genetic and/or geographic origin of the drupes olive malaxation is a critical control point of virgin olive oil (VOO) production from a qualitative point of view. In particular the sensory peculiarities of malaxation are determined by the presence of C₆ and C₅ aldehydes and alcohols in the VOO head space due to lipoxygenase activity. On-line monitoring of the evolution of these substances during VOO processing could be very useful for defining the operative conditions of malaxation (i.e. time and temperature) in order to improve the VOO sensory quality according to product type.