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LC–MS Metabolomic Profiling of Five Types of Unrefined, Cold-Pressed Seed Oils to Identify Markers to Determine Oil Authenticity and to Test for Oil Adulteration
The authenticity of food products marketed as health-promoting foods—especially unrefined, cold-pressed seed oils—should be controlled to ensure their quality and safeguard consumers and patients. Metabolomic profiling using liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (LC–QTOF) was employed to identify authenticity markers for five types of unrefined, cold-pressed seed oils: black seed oil (Nigella sativa L.), pumpkin seed oil (Cucurbita pepo L.), evening primrose oil (Oenothera biennis L.), hemp oil (Cannabis sativa L.) and milk thistle oil (Silybum marianum). Of the 36 oil-specific markers detected, 10 were established for black seed oil, 8 for evening primrose seed oil, 7 for hemp seed oil, 4 for milk thistle seed oil and 7 for pumpkin seed oil. In addition, the influence of matrix variability on the oil-specific metabolic markers was examined by studying binary oil mixtures containing varying volume percentages of each tested oil and each of three potential adulterants: sunflower, rapeseed and sesame oil. The presence of oil-specific markers was confirmed in 7 commercial oil mix products. The identified 36 oil-specific metabolic markers proved useful for confirming the authenticity of the five target seed oils. The ability to detect adulterations of these oils with sunflower, rapeseed and sesame oil was demonstrated.
Proteomic analysis of wild boar meat: Effect of storage method and time on muscle protein stability
Identification of sunflower, rapeseed, flaxseed and sesame seed oil metabolomic markers as a potential tool for oil authentication and detecting adulterations
Testing the composition, quality and authenticity of edible oils is crucial to safeguard the consumers’ rights and health. The aim of our study was to identify oil-specific markers to enable the differentiation and authentication of sunflower, sesame, flaxseed and rapeseed oils, and to evaluate their antioxidant activity, total phenolic and carotenoid content. A metabolomic approach based on liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry was employed for marker discovery. Spectrophotometric method was used for determination of antioxidant activity, total phenolic and carotenoid content. 76 oil samples from the four different manufacturers were examined. We identified 13 oil-specific markers for sunflower seed oil, 8 for rapeseed oil, 5 for sesame seed oil and 3 for flaxseed oil, their retention times, accurate masses, and characteristic fragment ions are reported. The abundances of the markers for each plant species were found to vary depending on the oil producer and the product batch. Significant differences in antioxidant activity, total phenolic and carotenoid content were also observed both between oils and within oil type. The highest total phenolic content (84.03 ± 4.19 to 103.79 ± 3.67 mg of gallic acid/kg) and antioxidant activity (245.67 ± 7.59 to 297.22 ± 2.32 mg Trolox/kg) were found in sesame seed and flaxseed oils, respectively. Identified metabolic markers can be used as qualitative markers to confirm the authenticity or to detect adulterations of oils. Composition, properties and authenticity testing should be more rigorous for food products marketed as health-promoting.
A Novel Normalized Quantitative Real-Time PCR Approach for Ensuring Roe Deer (Capreolus capreolus) Meat Authenticity in Game Meat Foods
Pork liver tissue-specific peptide markers for food authenticity testing and adulteration detections
Quantitative detection of some Suidae species in meat products using nuclear markers and TaqMan probe-based qPCR
Discrimination of Selected Cold-Pressed and Refined Oils by Untargeted Profiling of Phase Transition Curves of Differential Scanning Calorimetry
Comparing different chemometric approaches to detect adulteration of cold-pressed flaxseed oil with refined rapeseed oil using differential scanning calorimetry
Flaxseed oil is one of the best sources of n-3 fatty acids, thus its adulteration with refined oils can lead to a reduction in its nutritional value and overall quality. The purpose of this study was to compare different chemometric models to detect adulteration of flaxseed oil with refined rapeseed oil (RP) using differential scanning calorimetry (DSC). Based on the melting phase transition curve, parameters such as peak temperature (T), peak height (h), and percentage of area (P) were determined for pure and adulterated flaxseed oils with an RP concentration of 5, 10, 20, 30, and 50% (w/w). Significant linear correlations (p ≤ 0.05) between the RP concentration and all DSC parameters were observed, except for parameter h1 for the first peak. In order to assess the usefulness of the DSC technique for detecting adulterations, three chemometric approaches were compared: (1) classification models (linear discriminant analysis—LDA, adaptive regression splines—MARS, support vector machine—SVM, and artificial neural networks—ANNs); (2) regression models (multiple linear regression—MLR, MARS, SVM, ANNs, and PLS); and (3) a combined model of orthogonal partial least squares discriminant analysis (OPLS-DA). With the LDA model, the highest accuracy of 99.5% in classifying the samples, followed by ANN > SVM > MARS, was achieved. Among the regression models, the ANN model showed the highest correlation between observed and predicted values (R = 0.996), while other models showed goodness of fit as following MARS > SVM > MLR. Comparing OPLS-DA and PLS methods, higher values of R2X(cum) = 0.986 and Q2 = 0.973 were observed with the PLS model than OPLS-DA. This study demonstrates the usefulness of the DSC technique and importance of an appropriate chemometric model for predicting the adulteration of cold-pressed flaxseed oil with refined rapeseed oil.
Effect of Dry, Vacuum, and Modified Atmosphere Ageing on Physicochemical Properties of Roe Deer Meat
The Nigerian meat industry: An overview of products’ market, fraud situations, and potential ways out
Sposób wykrywania i identyfikacji mięsa królika w produktach spożywczych, zestaw do wykrywania i identyfikacji mięsa królika w produktach spożywczych oraz jego zastosowanie
Cooking resistant edible crickets-specific peptides for authenticity testing of meat products
Abstract As consumer and manufacturer interests in edible insects and processed food with added insects are increasing, new possibilities for detecting edible insect proteins in processed foods have become increasingly important. In the present study, a proteomic strategy was applied to identify insect proteins and thermostable house cricket-specific (Acheta domesticus) peptide markers. To determine the limit of detection (LOD) for house cricket proteins, cooked meatballs containing house cricket protein powder (CP) as a partial pork substitute were investigated. The final concentration of CP ranged from 0.8% to 7.6%. The LODs for tropomyosin 1 and translational elongation factor-2 were 0.8% (w/w), whereas for apolipophorin-III it was 2.5% (w/w). Eight heat-resistant peptides unique to the family Grillidae (true crickets) and four peptides unique to the Acheta domesticus were identified. The results suggest that selected cricket-specific and processing-resistant peptide markers have potential utility in the authentication of the cricket formulations used in meat products. However, this has to be confirmed on different heavily processed meat products.
Changes in physicochemical, textural, and sensorial properties of pork meatballs made with the addition of hemp oil during storage
This research aimed to evaluate the quality characteristics of cooked and vacuum-packed meatballs reformulated with cold-pressed hempseed oil as a partial pork substitute (0.8%, 2.5%, 4.2%, and 7.5%) during 12 days of storage. The water activity, cooking, and storage losses increased with a higher content of hemp oil ( P < 0.05). The total saturated fatty acids were reduced by 37.6%, whereas the polyunsaturated fatty acids content improved by 96.1%. Hemp oil addition decreased protein and lipid oxidation during the storage period ( P < 0.05). The inhibition effect on carbonyl content reached 34.9% and on TBARS values reached 17.5%. Sensory analysis revealed no significant changes to the texture, odour, and taste attributes over 12 days of storage in vacuum packaging. The results indicate that cold-pressed hemp oil can be an alternative ingredient for the production of meat products with improved nutritional value, particularly by enriching them with n-3 α-linolenic fatty acid.
Comparative analysis of the longissimus muscle proteome of European wild boar and domestic pig in response to thermal processing
Different Chemometric Approaches to Detect Adulteration of Cold‐Pressed Flaxseed oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry
Flaxseed oil is one of the best sources of n-3 fatty acids, thus its adulteration with refined oils can lead to a reduction in its nutritional value and overall quality. The purpose of this study was to use the differential scanning calorimetry (DSC) technique to detect adulterations of cold-pressed flaxseed oil with refined rapeseed oil (RP). Based on the melting phase transition curve, parameters such as peak temperature (T), peak height (h), and percentage of area (P) were determined for pure and adulterated flaxseed oils with a RP concentration of 5, 10, 20, 30, 50% (w/w). Significant linear correlations (p ≤ 0.05) between the RP concentration and all DSC parameters were observed, except for h1. In order to assess the usefulness of the DSC technique for detecting adulterations, three chemometric approaches were compared: 1) classification models (Linear Discriminant Analysis, LDA Adaptive Regression Splines, MARS, Support Vector Machine, SVM, Artificial Neural Networks, ANNs); 2) regression models (Multiple Linear Regression, MLR, MARS, SVM, ANNs, PLS) and 3) a combined model of Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). With the LDA model, the highest accuracy of 99.5% in classifying the samples, followed by ANN&gt; SVM &gt; MARS was achieved. Among the regression models, the ANN model showed the highest correlation between observed and predicted values (R= 0.996), while other models showed goodness of fit as following MARS&gt; SVM&gt; MLR. Comparing OPLS-DA and PLS methods, higher values of R2X(cum) =0.986 and Q2 =0.973 were observed with the PLS model than OPLS-DA. These results demonstrate the usefulness of the DSC technique combined with chemometrics for predicting the adulteration of cold-pressed flaxseed oil with refined rapeseed oil.
A systematic review of DNA‐based methods in authentication of game and less common meat species
AbstractDespite the numerous studies on food safety and authenticity, especially for meat and meat products, not enough studies have been conducted focusing exclusively on game species and other unusual meat animals. As a result of the European horse scandal, the horse is currently the target of many meat authenticity studies. With this review, we aim to present various DNA‐based methods that have been used by researchers to identify, detect, and quantify game, uncommon meat animals, and wildlife species. Polymerase chain reaction (PCR) is considered the standard method for DNA analysis in meat authenticity testing. However, in this paper, we present several other methods that may or may not involve the PCR technique. For this purpose, we systematically reviewed 131 articles selected according to various criteria such as target animal species, method of analysis, year of publication, and so forth. The result of our study shows the most studied game and uncommon meat species, PCR‐ and non‐PCR‐based methods for game meat analysis, and DNA‐based methods in wildlife conservation. With this study, researchers can find detailed information about frequent game species used as adulterants for regular meat products and the DNA‐based techniques to identify them.
Flaxseed (Linum usitatissimum L.) protein and peptide identification of raw and roasted seeds: application of the UHPLC-Q-TOF-MS/MS method
AbstractBACKGROUNDFlax (Linum usitatissimum L.) seeds are in the spotlight due to their enormous potential as a functional food ingredient, and proteins and peptides play a crucial role in their functional food properties. Flax seeds can be added to foods during production either before or after heat pre‐treatment (roasting), creating the need for thermally stable peptides as markers for flax seed identification. In this study, the proteins of untreated and roasted seeds of three flax cultivars (Jantarol, Oliwin and Szafir) were analyzed by high‐resolution tandem mass spectrometry coupled to high‐performance liquid chromatography (UHPLC‐Q‐TOF‐MS/MS) to search for species‐specific peptides as potential markers of flax seeds.RESULTSTwenty‐three proteins found in untreated seeds of each cultivar were selected using UHPLC‐Q‐TOF‐MS/MS. After roasting, six of them were identified based on 13 unique and species‐specific peptides, and they have been suggested as potential thermally stable species‐specific markers for the identification of flax seed proteins. Among them, one new unique and thermally stable peptide, DPVLAWR, was found that had not been identified in previous studies.CONCLUSIONOur research has provided novel information on the protein and peptide identification of flax seeds taking into account possible cultivar diversity. In the study, the proteomics UHPLC‐Q‐TOF‐MS/MS method was applied. In addition, heat‐stable peptides were determined as a potential indicator for the identification of flax seeds after roasting, a process often used for oilseed pre‐treatment. © 2025 Society of Chemical Industry.
