Food Matrices Research Articles

Pesticides and transformation products footprint in Greek market basket vegetables: Comprehensive screening by HRMS and health risk assessment

Healthy dietary habits encourage vegetable consumption. Although pesticide use in crops may negatively affect human health through food intake, it can also contaminate aquatic and terrestrial environments. Thus, monitoring pesticides in high-consumption matrices is crucial. This study conducted a complete workflow of analysis, including a step of target analysis of 30 widely used pesticides and a subsequent step of suspect screening. A validated QuEChERS method was employed to analyze 61 samples of fruiting vegetables and cucurbits, packaged leafy greens, and root and tuber vegetables, commercially distributed across Greece. The method proved to be highly efficient for all validation characteristics. After target analysis, the change in the residue levels detected during sample processing was evaluated as a case study using available literature data. A health risk assessment based on diet indicated acute and chronic hazard quotients (aHQ and cHQ) and chronic hazard index (cHI) values below 1. Concerning suspect screening, 53 additional identifications of pesticides and transformation products (TPs) were revealed, totaling 86 detections. Overall, 18 parent pesticide compounds and 5 TPs were identified. Ultimately, this approach is expected to provide added value in pesticide and TPs analysis of food matrices without prior data, minimizing experimental time and costs.

Antimicrobial activity of essential oil components against Escherichia coli depends on the food components present in a food matrix

Despite numerous studies evaluating the antimicrobial activity of essential oil components (EOCs) against different microorganisms, the effect of the composition of the matrix in which they are applied remains unexplored. Hence, the effect of different food components (i.e., proteins, lipids, carbohydrates, acids, ethanol) on vanillin antimicrobial activity was carried out by assessing the growth of E. coli at different incubation times (0, 1, 4, 8 and 24 h). Based on these outcomes, the food components that most adversely affected vanillin antimicrobial activity were subsequently tested with four other EOCs (i.e., carvacrol, eugenol, geraniol, thymol). The effective concentration of antimicrobials after coming into contact with food components was quantified. The results indicated that bovine serum albumin (BSA), sunflower oil and carbohydrates partially or completely inhibited the antimicrobial efficacy of the tested EOCs, and the inhibition rate depended on the specific EOC-food component combination. Geraniol was notably the most efficient with BSA present. Eugenol performed best with sunflower oil. Carvacrol, eugenol, geraniol and thymol were more effective than vanillin with D-lactose present. This study confirmed that loss of EOCs’ effective concentration due to an interaction with food constituents is a significant cause of antimicrobial activity inhibition. These findings underscore the importance of considering matrix composition when selecting antimicrobials to combat a particular strain in real food applications.

Quantitative Analysis of Sterols and Oxysterols in Foods by Gas Chromatography Coupled with Mass Spectrometry

The study aimed to determine the content of sterol oxidation products (oxysterols) in selected processed food products with the use of GC-MS. It is known that an excessively high consumption of cholesterol in foods can lead to atherosclerosis and coronary heart disease and may also promote the appearance of gallstones. Cholesterol oxidation products have mutagenic, angiotoxic and cytotoxic properties and can lead to the development of atherosclerosis and promote the occurrence of some cancers. The cholesterol content in the tested products ranged from 8.72 to 2007.11 mg/100 g fat, and plant sterols were determined in 5 out of 12 tested products and their content ranged from 5.88 to 380.8 mg/100 g fat. The studies showed the presence of sterol oxidation products in each analyzed product. The total oxysterol content ranged from 0.16 to 3.95 μg/g fat in pastry products and from 0.06 to 9.72 μg/g fat in meat products. Due to the presence of sterol oxidation products in all analyzed products, their content in food products should be monitored. The presented analytical method is a proper tool for the determination of sterol oxidation products in different food matrices.

Optimization and Validation of a Cheaper, Safer, and More Sustainable Methodology for Aflatoxins Determination in Rich-Lipidic Matrices (Pistachio Nuts) Using Deep Eutectic Solvent Extraction and UHPLC-FLD Analysis.

Aflatoxins pose a major health concern and require strict monitoring in food products. Existing methods rely on hazardous organic solvents for extraction, prompting the development of a greener alternative. This study explores deep eutectic solvents (DESs) for aflatoxin extraction from pistachios, a valuable food product prone to aflatoxin contamination. The proposed method utilizes DES extraction followed by solid-phase extraction cleanup and ultrahigh-performance liquid chromatography coupled with fluorescence detector analysis. Recovery rates ranged from 85.5 to 99.1% for pistachios spiked with 1-8 ng/g aflatoxins, in compliance with EU regulations, with coefficients of variation less than 2.94%. The method demonstrates good sensitivity with limits of detection and quantification in the range of 0.02-0.22 ng/g and 0.05-0.72 ng/g, respectively. Greenness assessment using AGREEPrep and White Analytical Chemistry metrics confirms its environmental sustainability. This approach offers a promising, safer, and more eco-friendly alternative for aflatoxin extraction from complex food matrices like pistachios.

Bioaccessibility and bioavailability assessment of cadmium in rice: In vitro simulators with/without gut microbiota and validation through in vivo mouse and human data

Assessing the bioaccessibility and bioavailability of cadmium (Cd) is crucial for effective evaluation of the exposure risk associated with intake of Cd-contaminated rice. However, limited studies have investigated the influence of gut microbiota on these two significant factors. In this study, we utilized in vitro gastrointestinal simulators, specifically the RIVM-M (with human gut microbial communities) and the RIVM model (without gut microbial communities), to determine the bioaccessibility of Cd in rice. Additionally, we employed the Caco-2 cell model to assess bioavailability. Our findings provide compelling evidence that gut microbiota significantly reduces Cd bioaccessibility and bioavailability (p<0.05). Notably, strong in vivo-in vitro correlations (IVIVC) were observed between the in vitro bioaccessibilities and bioavailabilities, as compared to the results obtained from an in vivo mouse bioassay (R2 = 0.63–0.65 and 0.45–0.70, respectively). Minerals such as copper (Cu) and iron (Fe) in the food matrix were found to be negatively correlated with Cd bioaccessibility in rice. Furthermore, the results obtained from the toxicokinetic (TK) model revealed that the predicted urinary Cd levels in the Chinese population, based on dietary Cd intake adjusted by in vitro bioaccessibility from the RIVM-M model, were consistent with the actual measured levels (p > 0.05). These results indicated that the RIVM-M model represents a potent approach for measuring Cd bioaccessibility and underscore the crucial role of gut microbiota in the digestion and absorption process of Cd. The implementation of these in vitro methods holds promise for reducing uncertainties in dietary exposure assessment.

Proximate Analysis and Techno-Functional Properties of Berberis aristata Root Powder: Implications for Food Industry Applications.

Berberis aristata, commonly known as Indian barberry, has been traditionally used for its medicinal properties. Despite its recognized pharmacological benefits, its potential application in the food industry remains underexplored. This study aims to investigate the proximate analysis and techno-functional properties of Berberis aristata root powder to evaluate its feasibility as a functional food ingredient. The root powder of Berberis aristata was subjected to proximate analysis to determine its moisture, ash, protein, fat, fiber, and carbohydrate content. Techno-functional properties, including water and oil absorption capacity, emulsifying and foaming properties, and bulk density, were evaluated using standardized analytical techniques. The proximate analysis revealed a high fiber content and a significant number of bioactive compounds. The root powder exhibited favorable water and oil absorption capacities, making it suitable for use as a thickening and stabilizing agent. Emulsifying and foaming properties were comparable to conventional food additives, indicating their potential in various food formulations. The findings suggest that Berberis aristata root powder possesses desirable techno-functional properties that could be leveraged in the food industry. Its high fiber content and bioactive compounds offer additional health benefits, making it a promising candidate for functional food applications. Further research on its incorporation into different food matrices and its sensory attributes is recommended to fully establish its utility.

Tetrodotoxin and the state-of-the-art progress of its associated analytical methods.

Tetrodotoxin (TTX), which is found in various marine organisms, including pufferfish, shellfish, shrimp, crab, marine gastropods, and gobies, is an effective marine toxin and the cause of many seafood poisoning incidents. Owing to its toxicity and threat to public health, the development of simple, rapid, and efficient analytical methods to detect TTX in various food matrices has garnered increasing interest worldwide. Herein, we reviewed the structure and properties, origin and sources, toxicity and poisoning, and relevant legislative measures of TTX. Additionally, we have mainly reviewed the state-of-the-art progress of analytical methods for TTX detection in the past five years, such as bioassays, immunoassays, instrumental analysis, and biosensors, and summarized their advantages and limitations. Furthermore, this review provides an in-depth discussion of the most advanced biosensors, including cell-based biosensors, immunosensors, and aptasensors. Overall, this study provides useful insights into the future development and wide application of biosensors for TTX detection.

Squaraine-Linked Magnetic Covalent Organic Framework as a Solid-Phase Extraction Absorbent to Determine Trace Phenylpyrazoles.

Phenylpyrazoles are widely used pesticides in the food industry. It is highly desirable to develop efficient pre-treatment and analysis methods to extract and detect phenylpyrazoles in complex food matrices. Herein, the study reports novel squaraine-linked zwitterionic core-shell magnetic covalent organic frameworks (MCOFs), which are found to be excellent pretreatment materials for the detection of trace phenylpyrazoles in samples. By coupling MCOFs to magnetic solid-phase extraction (MSPE) with Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS) analysis, the detection of phenylpyrazoles (fipronil, fipronil sulfone, fipronil sulfide, fipronil de-sulfoxide, fipronil desulfinyl, ethiprole, and flufiprole) is achieved and shows good linearity at concentrations of 1-800µg L-1 (R2 ≥ 0.9930). The limit of detection (LOD), limit of quantification (LOQ), and recovery rates are 0.01-0.50µg kg-1, 0.04-1.72µg kg-1, and 70.96-115.32%, respectively. More importantly, this method is successfully applied to determine the phenylpyrazoles in commercial egg, poultry, milk, jujube, cabbage, tea, and rice with a detection rate of ≈0.04%. Therefore, the developed method may contribute to a new strategy for the purification and multi-target extraction of complex food matrices.

Volatilomics: An emerging discipline within Omics Sciences - A systematic review

Introduction Volatilomics is an omics science that is characterized as being a specific subbranch of metabolomics, which studies the different types of volatile organic compounds that may be present in a certain biological matrix. It has had impacts on the identification of new natural compounds and food safety processes, since it allows the evaluation of emerging contaminants that are present on food matrices, through the identification of biomarkers generated in response to this type of xenobiotic compounds through xenovolatilomic studies. Objective In this way, this review seeks to understand the scientific advances reported towards volatilomic studies, for which different types of primary research are reported depending on the main instrumental techniques used for the characterization of different types of VOCs that have been reported in our country between 2012 and 2022. Methodology Using a qualitative methodology, a search was carried out in the Scopus database, from which the bibliometric information of the primary research reported during this time was obtained, to later analyze the different research concerning the use of volatilomic studies and the fields of action that are currently used, as well as the different techniques for obtaining these compounds and the data analysis methodologies established for the processing of this type of research. Conclusions Finally, it can be concluded that, from the present review, the applicability of volatilomic studies is shown. The incursion carried out by this type of science on the verification of food safety in different types of matrices, in addition to allowing the study of the volatile profile formed by the different volatile organic compounds expressed by said matrix and the respective ecological role expressed by these compounds with the environment in which they are found.

Microwave-assisted sample preparation for screening of heavy metal elements in food additives by ICP-MS

The screening of heavy metals in food additives is important for public health due to their probable critical effects, induced by excessive intakes, and difficulties in tracing in food matrix. This study aimed to assess the applicability of microwave (MW)-based digestion and inductively coupled plasma-mass spectrometry (ICP-MS) for quantification of heavy metals in food additives. MW-assisted diluted acid digestion (1550 W at 220 °C, 0.79 mol/L of HNO3 solution) was applied as a pretreatment and ICP-MS was used for 19 different heavy metals at different concentrations, up to 20 ng/g. The optimized protocol was validated by spiking heavy metals to glycerin and applied to 18 food additives. The method was linear for 14 heavy metals (R2 > 0.990). For 11 heavy metals, both intra- and inter-day accuracies in glycerin were estimated to 88.5%–123.7%, with intra- and inter-day precisions of less than 5.5% and 4.9%, respectively, and their contents in food additives were discussed. The findings in this work provide an alternative analytical method for regulatory compliance and quality control in food industries.

Simultaneous Determination of Alternaria Toxins, Ergot Alkaloid Epimers, and Other Major Mycotoxins in Various Food Matrices by LC‐MS/MS

Simultaneous Determination of Alternaria Toxins, Ergot Alkaloid Epimers, and Other Major Mycotoxins in Various Food Matrices by LC‐MS/MS

Versatile and reliable extraction of phytosterols employing sonochemical synthesized molecularly imprinted polymer

Phytosterols (PSs) are bioactive compounds in the sterol family, present in numerous complex food and plant matrices in free and conjugated forms. The interest in these compounds arises for phytotherapeutic purposes, particularly for their action on cholesterol metabolism and impact on cardiovascular diseases. There is a need to develop approaches that can selectively extract target analytes and accurately identify and quantify them with high precision. This work proposed the synthesis of molecularly imprinted polymers (MIPs) for PSs with a sonochemical approach, enabling a rapid polymerization step (5 min). This proposed MIP was able to extract 8 PSs (brassicasterol, stigmastanol, campesterol, campestanol, stigmasterol, β-sitosterol, Δ5-avenasterol, α-spinasterol) from a wide range of plant and food matrices belonging to different classes (Brassicaceae, dried fruits and Leguminosae) and was coupled to ultra-high liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS). MIP based on dispersed solid phase extraction (dSPE-MIP) and targeted analysis has proven to be particularly effective in addressing the challenges associated with the complexity of plant-derived matrices, minimising interferences. This was demonstrated by the excellent control of the matrix effect, which was within ±15 %, ensuring the robustness and reliability of the method. The identification and quantification of 8 different PSs was successfully achieved with satisfactory recovery values ranging from 65 % to 100 %. The proposed strategy offers an affordable alternative to classical methods, providing enhanced sensitivity, selectivity and overall performance.

Antimicrobial peptides derived from food byproducts: Sources, production, purification, applications, and challenges.

Food wastes can be a valuable reservoir of bioactive substances that can serve as natural preservatives in foods or as functional ingredients with potential health benefits. The antimicrobial properties of protein hydrolysates, especially antimicrobial peptides (AMPs) derived from food byproducts (FBs), have been extensively explored. These protein fragments are defined by their short length, low molecular weight, substantial content of hydrophobic and basic amino acids, and positive net charge. The intricate mechanisms by which these peptides exert their antimicrobial effects on microorganisms and pathogens have been elaborately described. This review also focuses on techniques for producing and purifying AMPs from diverse FBs, including seafood, livestock, poultry, plants, and dairy wastes. According to investigations, incorporating AMPs as additives and alternatives to chemical preservatives in food formulations and packaging materials has been pursued to enhance both consumer health and the shelf life of foods and their products. However, challenges associated with the utilization of AMPs derived from food waste depend on their interaction with the food matrix, acceptability, and commercial viability. Overall, AMPs can serve as alternative safe additives, thereby ensuring the safety and prolonging the storage duration of food products based on specific regulatory approvals as recommended by the respective safety authorities.

Inactivation of Salmonella, Enterococcus faecium and natural microbiota on dry food matrices with microwave-driven plasma-processed air

This study explores the efficacy of plasma-processed air (PPA) as a non-thermal treatment for decontamination of dry food surfaces, such as wheat grains, black peppercorns, and onion flakes. We compared the effect of various inoculum types of Enterococcus faecium, revealing a higher resistance of the powder form compared with liquid and slurry inocula on black peppercorns. Furthermore, Enterococcus faecium NRRL B-2354 appeared to be a suitable control indicator for Salmonella. The PPA efficacy varied across matrices, being higher on medium agar (7.0 ± 0.5 log10), followed by wheat grains (2.1 ± 0.2 log10), black peppercorns (1.5 ± 0.1 log10), and no reduction on onion flakes. Variation was also found across microorganisms, as the natural microbiota was reduced on wheat grains (1.6 ± 0.6 log10 for mesophilic count and 0.8 ± 0.3 log10 for spores), while on black peppercorns this was only achieved after upscaling (1.3 ± 0.2 log10 for mesophilic and 1.5 ± 0.1 log10 for spores). The findings of this study give guidance to further optimize the application of PPA treatment by changing the technical parameter settings of the plasma setup to increase the microbial efficacy and/or combining the PPA treatment with other methods to enhance microbial control.

Maillard reaction affecting immunobinding activity and digestibility of tropomyosin in Alectryonella plicatula food matrix

In recent years, the allergy rate of oysters has surged, and daily food processing methods make it hard to reduce heat resistance and digestive allergy such as tropomyosin (TM). In this study, the Maillard reaction with xylose (Xyl) significantly reduced the IgE binding capacity of Alectryonella plicatula food matrix (AFM), that reduced by (77.81 ± 2.68)%. The study found the Maillard reaction changes the structure of the AFM, in which the content of α-helix decreased by (24.64 ± 1.46)%. Structural transformation further explains why the Maillard reaction alters the immunobinding activity of AFM. In addition, the Maillard reaction reduces the digestive stability of the AFM and makes TM in the A. plicatula food matrix Maillard reaction products (AFM-MRPs) more easily digested. Based on the above research, 10 amino acids on the 7 IgE epitopes of TM were modified. This result indicates that the Maillard reaction reduces the immunobinding activity of the AFM by changing the structure and modifying the amino acids on the epitope.

The Dairy Matrix: Its Importance, Definition, and Current Application in the Context of Nutrition and Health.

Nutrition research has shifted from single nutrients to examining the association of foods and dietary patterns with health. This includes recognizing that food is more than the sum of the individual nutrients and relates to the concept of the food matrix. Like other foods, dairy foods are characterized by their unique matrices and associated health effects. Although the concepts of the food matrix and/or dairy matrix are receiving increasing attention in the nutrition and health literature, there are different terms and definitions that refer to it. This article aims to provide insights into the application of the concepts of the food matrix and dairy matrix and to provide a current overview of the definitions and terminology surrounding the food matrix and dairy matrix. By analysing these aspects, we aim to illustrate the practical implications of the food matrix and dairy matrix on nutrition and health outcomes and evaluate their roles in shaping evidence-based policies for the benefit of public health. There is a need for harmonized definitions within the literature. Therefore, the International Dairy Federation put forward harmonized terms to be internationally applicable: the "dairy matrix" describes the unique structure of a dairy food, its components (e.g., nutrients and non-nutrients), and how they interact; "dairy matrix health effects" refers to the impact of a dairy food on health that extend beyond its individual components.

Salmonella Inactivation Model by UV-C Light Treatment in Chicken Breast.

This study aims to evaluate the effectiveness of inactivating Salmonella enteritidis in fresh chicken breast by irradiation using a combination of short-wave UV (0, 3, 6, 9, 12, and 15 J/cm2) and a natural antimicrobial such as caffeine (0, 5, 10, 15, and 20 nM/g) at 14 °C as alternative proposals to conventional techniques to reduce pathogens in food. The effect of temperature was studied in an initial phase (2 to 22 °C). The most suitable models were double Weibull in 60% of cases, with an adjustment of R2 0.9903-0.9553, and Weibull + tail in 46.67%, with an adjustment of R2 of 0.9998-0.9981. The most effective combination for the reduction in Salmonella was 12 J/cm2 of UV light and 15 nM/g of caffeine, with a reduction of 6 CFU/g and an inactivation rate of 0.72. The synergistic effect was observed by increasing caffeine and UV light. Furthermore, the physico-chemical characteristics of the food matrix were not affected by the combination of both technologies. Therefore, these results suggest that this combination can be used in the food industry to effectively inactivate Salmonella enteritidis without deteriorating product quality.

Elevating electron transfer of recyclable SERS sensor using AuNPs/TiO2/Ti3C2 heterostructures for detection of malachite green in sunfish

Malachite green (MG)-contaminated aquatic products pose a serious threat to animal and human health. Hence, a novel recyclable surface-enhanced Raman scattering (SERS) substrate based on AuNPs/TiO2/Ti3C2 heterostructures was developed for the detection and degradation of MG in aquatic products. Specifically, AuNPs/TiO2/Ti3C2 heterostructures were synthesized by in situ oxidation and electrostatic adsorption based on Ti3C2 nanosheets. The excellent photocatalytic and SERS performance of the AuNPs/TiO2/Ti3C2 was demonstrated by Density functional theory (DFT) calculations and experimental results, which was attributed to the enhancement of charge transfer (CT) after the formation of heterostructures. The results demonstrate that AuNPs/TiO2/Ti3C2 is highly sensitive and recyclable. The detection limit of the sensor for MG is 8.91 × 10−5 mg/L. The sensor can be recycled for five times under the condition of light, and shows satisfactory self-cleaning performance in the food matrix, providing a possible alternative solution for the recyclable detection of MG.

Comparison of commercial DNA kits for allergen detection of celery in food matrices

For correct allergen risk management by industry, retail and food safety authorities, sensitive and reliable fast allergen detection methods are required, even more when precautionary allergen labelling based on reference doses will be implemented in legislation.This study aimed to perform a comparative assessment of three commercially available quantitative or qualitative test kits, for DNA analysis of celery in food products. Five product groups, representing different sectors of the AOAC food-matrix triangle, being (plant-based) meat products, snacks, sauces, dried herbs and spices, and smoothies, were identified to potentially contain celery. From each group, blank and incurred (labelled to contain celery) food products were selected, of which the blank food products were additionally spiked with low protein levels of celery prior to qPCR assessment.Results show that the assessed test kits perform according to their specifications, however, a clear influence of the matrix on the detection ability of celery was observed. In addition, quantification of the amount of celery in the different food products showed to be challenging in all food product groups using the two quantification kits.

A novel QbD HPLC approach for the concurrent analysis of amoxicillin, amprolium, and ethopabate in food samples and dosage forms

A simple, rapid, and sensitive reversed-phase HPLC method coupled with photodiode array detection (PDA) was developed for the simultaneous estimation of three co-administered antibacterial drugs, amprolium, ethopabate, and amoxicillin for the first time. An analytical quality-by-design (QbD) approach was adopted to optimize the developed approach. A two-level full factorial design (25 FFD) was implemented to optimize how variable factors affected chromatographic responses. On a Hypersil BDS C18 column, the chromatographic separation was carried out using isocratic elution at 40.1 °C. The mobile phase consisted of methanol: potassium phosphate buffer containing 5.76 mM heptane sulphonate (9.05 mM; pH 3.32, 44.8:55.2 % v/v) pumped at a flow rate of 0.8 mL/min and an injection volume of 20.0 μL. In less than 7 min, the suggested method was able to separate the ternary mixture with a challenging ratio of 1: 15.6: 1 for amoxicillin, amprolium, and ethopabate, respectively. The calibration curves showed excellent linearity over the concentration ranges of 0.50–30.0, 0.30–30.0, and 0.05–20.0 μg/mL, respectively. Recovery percentages ranged from 90.30 % to 111.13 % with %RSD less than 2 % were obtained upon spiking to chicken tissues, liver, and egg samples, indicating the suitability of the proposed method for determining of the studied drugs in complicated food matrices. Furthermore, the proposed method was successfully applied to determine the studied drugs in their commercial formulations. Full validation was carried out according to ICHQ2 (R1) guidelines. Finally, the method's greenness and ecofriendliness were evaluated using various metrics tools, including the Green Analytical Procedure Index (GAPI) and Analytical GREEnness (AGREE).