Chemical Contaminants In Food Research Articles

The definition of chemical contaminants in food: ambiguity and consequences.

Consumers may be exposed via foods to a diverse range of substances that could be considered as contaminants. However, it is not always straightforward to understand the definition of a 'contaminant'. The present review evaluates how various categories of food-relevant substances are considered in terms of being 'contaminants'. To this end these categories of food borne constituents are evaluated against the various criteria encountered in the available definitions of a food contaminant, including unintentional presence, harmful, existence of regulatory limits, and stakeholder perception. The categories of chemicals considered include: phytotoxins, mycotoxins, (heavy) metals, persistent organic pollutants (POPs), processing aids, process related contaminants, food contact materials (FCMs), pesticides and veterinary drugs. The evaluation revealed that usage of the term appears complex, and may differ between stakeholders. A common proposed definition of the term 'contaminant' could be 'a substance considered to require control measures due to the unacceptability of its context within a food'. Use of a dimension of harm results in equivocal outcomes because risk depends on the level of exposure. As the term 'contaminant' has influence on risk management including public policy, the motivations for applying the term should be subject to more detailed analysis and understanding.

10.E. Scientific session: Confronting the hidden risks: unveiling the disease burden of chemicals in Europe

Abstract With increasing industrialization and globalization, Europe faces a complex landscape of chemical hazards, ranging from persistent organic pollutants like PFAS to foodborne chemicals and beyond. Understanding the extent of these exposures and their associated population health risks is crucial for environmental and health policy making across Europe. The burden of disease methodology, particularly through metrics such as Disability-Adjusted Life Years (DALYs), combined with economic costs, plays a crucial role in assessing and addressing the impacts of chemicals on population health. DALYs provide a comprehensive measure that quantifies both the years of life lost due to premature death and the years lived with disability, offering a holistic understanding of the disease burden caused by chemical exposures. Additionally, incorporating economic costs into the analysis enables the evaluation of the financial burden imposed by chemical-related illnesses on healthcare systems, productivity, and societal well-being. By leveraging the burden of disease methodology, stakeholders can make evidence-based decisions to protect health of populations and allocate resources effectively, ultimately promoting healthier environments and communities. Several global and European initiatives provide platforms for evidence generation, knowledge-sharing, and action to address the disease burden of chemicals. At the global level, the Foodborne Disease Burden Epidemiology Reference Group of the World Health Organization (WHO/FERG) has estimated the global burden of foodborne diseases, including those caused by chemical contaminants in foods. At European level, the health impact of PFAS and other chemicals of high concern is being spearheaded by the European Environment Agency’s European Topic Centre on Human Health and the Environment, and the European Partnership on the Assessment of Risks from Chemicals (PARC). Furthermore, the Organisation for Economic Cooperation and Development has established a project of an unprecedented scale to measure the economic value of the effects of chemicals on human health. Complementary to these international initiatives, various countries have started to unravel the burden of chemicals based on local data and contextual insights. In this workshop, we will present the state-of-the-art of the disease burden of chemicals, by bringing together insights from key international and national burden of disease initiatives, emphasizing the imperative of addressing the cost of policy inaction in safeguarding public health. We will also show how burden of disease estimates for chemicals can help to monitor the trends towards relevant environment and health goals such as those described in the EU’s zero pollution ambition. Through collaborative discussions and knowledge-sharing, we aspire to identify actionable strategies for policymakers, researchers, and stakeholders to effectively address these challenges and promote a healthier future for all. Key messages • Understanding the vital importance of chemical risks for European health, the utilization of DALY and economic costs reveals their true burden, guiding evidence-based policies. • Global, regional and national initiatives are examining the impacts of chemicals worldwide, contributing to evidence gathering and policy shaping.

Enhanced Surveillance of >1100 Pesticides and Natural Toxins in Food: Harnessing the Capabilities of LC-HRMS for Reliable Identification and Quantification

The consequences of climate change along with diverse food regulations and agricultural practices worldwide are complexifying the occurrence and management of chemical contaminants in food. In this context, we present an ultra-high-performance liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach for the simultaneous identification and quantitation of over 1100 pesticide residues, mycotoxins, and plant toxins in cereals and fruits and vegetables. Analytical conditions were optimized to maximize the scope of the targeted molecules, the reliability of compound identification, and quantification performance within a single method. The method was further transferred and validated in another laboratory to assess its ruggedness. Validation according to the SANTE 11312/2021v2 guidelines showed that 92% and 98% of the molecules fulfill the quantification criteria at the lowest validated level in the cereals and fruits and vegetables groups, respectively. Analysis of fifteen certified reference materials led to a 96% satisfactory rate of z-scores confirming method’s competitiveness. Furthermore, the occurrence of these contaminants was studied in 205 cereals and grains samples collected worldwide. The low µg/kg quantification limits make this LC-HRMS method a valuable tool to ensure compliance toward regulations and to screen for non-regulated substances for which occurrence data are crucial for an appropriate risk evaluation.

Assessment of health risks posed by heavy metal contamination of wild mushrooms and berries

BACKGROUND: One of the primary objectives in ensuring food security for the population is to reduce the mitigate the risk of chemical contamination in food. Wild mushrooms and berries have the potential to accumulate heavy metals from the environment, posing a threat to human health if consumed. AIM: To assess the risk of developing general toxic effects associated with the consumption of wild mushrooms and berries on health of the adults living in the Arkhangelsk region. MATERIAL AND METHODS: The amount and frequency of mushroom and berry consumption by the adult population of the Arkhangelsk region was assessed by a survey (n=445). Intake of heavy metals contaminating mushrooms and berries was calculated using four scenarios. Hazard Quotients (HQ) were used to characterize the risk of developing overall toxic effects due to exposure to mercury, arsenic, lead, and cadmium. Hazard Indexes (HI) for substances with unidirectional effects were employed to assess the risk of non-cancerous effects on critical organs and systems. Quantitative data were presented as medians (Me) with 95% confidence intervals (95% CI), and the 90th percentile (P90). RESULTS: In total, 82% and 70% of respondents were engaged in collection of mushrooms and wild berries, respectively. On average, they reported consuming 180 grams of fresh or frozen berries, 133 grams of berries with juice, and 50 grams of mushrooms in soup or boiled/fried form per week. The Hazard Quotients (HQ) for all heavy metals did not exceed 1.0. The Hazard Index (HI) calculated for the average consumption of mushrooms and berries, as well as the average heavy metal contamination of wild plants was below 1.0. However, at high levels of mushroom (P90 — 417 g/week) and berry (P90 — 900 g/week) consumption, along with high levels of heavy metal contamination, elevated risk of developing general toxic effects on the endocrine- (HI=2.27), cardiovascular- (HI=2.0), digestive- (HI=2.0), nervous- and immune systems (HI =1.81 for both) and kidneys (HI=1.25) were detected. Forest mushrooms and wild berries can be consumed without restriction at an average level of their contamination. However, in cases of heavy metal contamination of mushrooms and berries at the P90 level or above, it is not recommended to exceed daily consumption of 400 grams of forest mushrooms and 650 grams of wild berries. CONCLUSION: Consuming high amounts of wild mushrooms and berries at the upper limit of exposure to heavy metals, may lead to an elevated risk of developing toxic effects on endocrine, nervous, immune, cardiovascular, and digestive systems.

Identifying the impact of climate variables on biological and chemical contaminants of preharvest foods and their associated food safety risks: a scoping review protocol

BackgroundFoodborne and waterborne illnesses affect over four million Canadians annually and pose a preventable burden on the nation’s healthcare system. Climate change can increase the risk of such illnesses by...

Effective Ethyl Carbamate Prevention in Red Wines by Treatment with Immobilized Acid Urease.

Climate change poses several challenges in the wine industry, including increasing risks related to chemical food contaminants such as biogenic amines and ethyl carbamate (EC). In this work, we focused on urea removal in red wines by immobilized acid urease aiming at limiting EC formation during wine storage. By considering separable kinetics of catalyst deactivation and urea hydrolysis, it was possible to model the time course of urea removal in repeated uses in stirred batch reactors. Treatments based on immobilized urease of red wine enriched with 30 mg/L of urea allowed the reduction in the contaminant concentration to <5 mg/L. After 28.5 h of treatment, the observed urea level was reduced to about 0.5 mg/L, corresponding to a decrease in the potential ethyl carbamate (PEC) from 1662 μg/L to 93 μg/L, below the level of the non-enriched wine (187 μg/L). As a comparison, when treating the same wine with the free enzyme at maximum doses allowed by the EU law, urea and PEC levels decreased to only 12 mg/L and 415 μg/L respectively, after 600 h of treatment. These results show that, for red wines, urease immobilization is an effective strategy for urea removal and, thus, effective reduction in ethyl carbamate as a process contaminant. This study provides the scientific background for the future scaling-up of the process at an industrial level.

Hybrid photo paper-based microfluidic device for colorimetric detection of iodine in salt

Microfluidic paper-based analytical devices (µPADs) have gained widespread use in various analytical applications because they are low-cost and suitable for onsite testing. The development of µPADs, including fabrication methods, new materials, and enhancement functionality is crucial to advance their practical application in analytical chemistry. In this study, we introduce a new hybrid paper-based analytical device, the hybrid photo paper-based microfluidic device (hPPMD), which combines a photo paper-based microfluidic device (PPMD) with a µPAD. We conducted a systematic study that detailed hPPMD’s characteristics, including surface properties and fluidic transportation. The hPPMD showed two fluidic transportation behaviors: continuous flow and discontinuous flow at the device junction, depending on the orientation of the device combination. Our hPPMD could increase fluidic flow approximately four times the speed when six layers of guided channels were added. The customized hPPMD was used for colorimetric detection of iodine in table salt, and then the result was quantitatively analyzed using a computer and smartphone with color analysis software. The detection zones of the hPPMD showed a flawless circular color signal. Under optimum conditions, the hPPMD was sensitive enough to detect iodine in salt solutions at various concentrations ranging from 1 to 100 ppm. The developed hPPMD should be a simple and low-cost analytical device for onsite qualitative analysis of the iodine and other chemical contaminants in food and the environment.

Estimated inorganic arsenic from total arsenic in fishery products and its health risk to the Indonesian population

The present study is the first assessment of inorganic arsenic exposure from various fishery products to the Indonesian population based on a national total diet study (TDS). Based on the TDS report on food chemical contaminants, fish and processed fishery products are among the foodstuffs significantly contributing to total arsenic (t-As) exposure in Indonesia. However, there is no assessment yet for the Indonesian population to inorganic arsenic (i-As), which is known as the most harmful of arsenic compounds as it potentially promotes acute and chronic poisoning. The present assessment is aimed to estimate the exposure to i-As from fish and processed fishery products as well as the level of health risks in different age groups in Indonesia, based on the available t-As concentration data. The results showed that the mean exposure to t-As and i-As from fish and processed fishery products in various age groups were 1.19–2.67 μg/kg bw/day and 0.04–0.08 μg/kg bw/day, respectively. Exposure in various age groups revealed that the highest arsenic exposure was in toddlers (0–4 years) and the lowest in the age group of 19–55 years. Wet seasonings and marine fish consumption led to the most contributors to i-As exposure. The carcinogenic risk of i-As exposure based on the margin of exposure (MOE) demonstrated a low to moderate risk. However, a particular concern to the toddler group is required as the cancer risk (CR) value is higher than the acceptable threshold (>10−4). Additionally, the hazard quotient (HQ) of i-As exposure was determined as a low possibility of chronic risk.

Integrating a Multiple Isotopologue Reaction-Monitoring Technique and LC-MS/MS for Quantitation of Small Molecules: Ten Mycotoxins in Cereals as an Example.

Accurate quantification of mycotoxin in cereals is crucial for ensuring food safety and human health. However, the preparation of traditional multisample external calibration curves (MSCCs) is labor-intensive and error-prone. Here, a multiple isotopologue reaction-monitoring (MIRM)-LC-MS/MS method for accurate quantitation of ten major mycotoxins in cereals was successfully developed and validated, where a novel one-sample multipoint calibration curve (OSCC) strategy is used instead of MSCCs. The OSCC can be established by examining the correlation between the calculated theoretical isotopic abundances and the measured abundance across various MIRM channels. In comparison to the MSCC, the OSCC strategy exhibits outstanding performance including superior selectivity, accuracy (78.4-108.6%), and precision (<12.5%). Furthermore, the proposed OSCC-MIRM-LC-MS/MS method was successfully applied to investigate mycotoxin contamination in cereal samples in China. Considering the advantages of simplified workflows and improved throughput, the OSCC-MIRM-LC-MS/MS methodology holds great promise for accurately quantifying chemical contaminants in foods.

Quick Roadmap for Exposure Assessment of Contaminants in Food

The presence of chemical contaminants in food is often unavoidable and associated with many adverse health effects. Exposure assessment is the essential element of an overall risk assessment process. While the specific purpose of the exposure assessment process can vary, the main goal is to provide a foundation for health-protective decisions. In recent years, there have been significant advances in exposure assessment methodologies and procedures, subsequently contributing to an increased complexity of the process. This paper aims to provide a generalized, simplified, and practical road map for exposure assessment, pointing to the pros and cons of different methods and challenges that occur while performing this type of study.

Facile synthesis of gold nanostars for the duplex detection of pesticide residues in grapes using SERS.

In recent years, concerns have been raised regarding the contamination of grapes with pesticide residues. As consumer demand for safer food products grows, regular monitoring of pesticide residues in food has become essential. This study sought to develop a rapid and sensitive technique for detecting two specific pesticides (phosmet and paraquat) present on the grape surface using the surface-enhanced Raman spectroscopy (SERS) method. Gold nanostars (AuNS) particles were synthesized, featuring spiky tips that act as hot spots for localized surface plasmon resonance, thereby enhancing Raman signals. Additionally, the roughened surface of AuNS increases the surface area, resulting in improved interactions between the substrate and analyte molecules. Prominent Raman peaks of mixed contaminants were acquired and used to characterize and quantify the pesticides. It was observed that the SERS intensity of the Raman peaks changed in proportion to the concentration ratio of phosmet and paraquat. Moreover, AuNS exhibited superior SERS enhancement compared to gold nanoparticles. The results demonstrate that the lowest detectable concentration for both pesticides on grape surfaces is 0.5mg/kg. These findings suggest that SERS coupled with AuNS constitutes a practical and promising approach for detecting and quantifying trace contaminants in food. PRACTICAL APPLICATION: This research established a novel surface-enhanced Raman spectroscopy (SERS) method coupled with a simplified extraction protocol and gold nanostar substrates to detect trace levels of pesticides in fresh produce. The detection limits meet the maximum residue limits set by the EPA. This substrate has great potential for rapid measurements of chemical contaminants in foods.

An aptamer-triggered hybridization chain reaction strategy for ultra-sensitive biological nanopore detection of aflatoxin B1

Biological nanopore refers to a type of pore-forming membrane proteins, providing a unique platform for single molecule detection of DNA, RNA, peptide, etc. The direct detection of small molecules, especially of food chemical contaminants by biological nanopore, remains challenging due to their fast translocation dynamics, trace amount, and the interference from the complex food matrix. The effective recognition and signal conversion methods need to be developed. Herein, we employ an aptamer-triggered hybridization chain reaction (AtHCR) strategy for the detection of a mycotoxin, aflatoxin B1 (AFB1) by an α-hemolysin nanopore. In the absence of AFB1, the formed dsDNA polymers in HCR show a low frequency of long-time blockage signals. The presence of AFB1 can inhibit the hybridization chain reaction through the interaction between AFB1 and its aptamer, so the remaining hairpins can easily block the nanopore and induce frequent long-time blockage signals. The results show that the event frequency of long-blockage has a linear relationship with the AFB1 concentration in the range of 6.6 × 10−1–6.6 × 102 pmol/L. The recognition and amplification effect of AtHCR allows nanopore to detect AFB1 at a detection limit of 0.54 pmol/L. Furthermore, the developed AtHCR strategy can help biological nanopore to detect AFB1 in corn sample with satisfactory accuracy. The recognition and amplification effect achieved by coupling AtHCR to biological nanopore offers an enzyme-free single-molecule technology for the rapid detection of food chemical contaminants.

Unveiling the Molecular Signature of High-Temperature Cooking: Gas Chromatography-Mass Spectrometry Profiling of Sucrose and Histidine Reactions and Its Derivatives Induce Necrotic Death on THP1 Immune Cells

High-temperature cooking processes like frying, baking, smoking, or drying can induce chemical transformations in conventional food ingredients, causing deteriorative modifications. These reactions, including hydrolytic, oxidative, and thermal changes, are common and can alter the food’s chemical composition. This study transformed a combination of sucrose and histidine (Su-Hi) through charring or pyrolysis. The GC-MS profiling study showed that when sucrose and histidine (Su-Hi) were exposed to high temperatures (≈240 °C), they produced carbonyl and aromatic compounds including beta-D-Glucopyranose, 1,6-anhydro (10.11%), 2-Butanone, 4,4-dimethoxy- (12.89%), 2(1H)-Quinolinone-hydrazine (5.73%), Benzenamine (6.35%), 2,5-Pyrrolidinedione, 1-[(3,4-dimethylbenzoyl)oxy]- (5.82%), Benzene-(1-ethyl-1-propenyl) (5.62%), and 4-Pyridinamine-2,6-dimethyl (5.52%). The compounds mentioned can permeate the cell membrane and contribute to the development of cell death by necrosis in human immune cells. The evidence suggests that a specific set of pyrolytic compounds may pose a risk to immune cells. This investigation reveals the complex relationship between high-temperature cooking-induced transformations, compound permeation inside the cells, and downstream cellular responses, emphasizing the significance of considering the broader health implications of food chemical contaminants.

Preventing chemical contaminants in food: Challenges and prospects for safe and sustainable food production

Preventing chemical contaminants in food: Challenges and prospects for safe and sustainable food production

Screening and identification of unknown chemical contaminants in food based on liquid chromatography–high-resolution mass spectrometry and machine learning

Unknown or unexpected chemical contaminants and/or their transformation products in food that may be harmful to humans need to be discovered for comprehensive safety evaluation. Liquid chromatography–high-resolution mass spectrometry (LC-HRMS) is a powerful tool for detecting chemical contaminants in food samples. However, identifying all of peaks in LC-HRMS is not possible, but if class information is known in advance, further identification will become easier. In this work, a novel MS2 spectra classification-driven screening strategy was constructed based on LC-HRMS and machine learning. First, the classification model was developed based on machine learning algorithm using class information and experimental MS2 data of chemical contaminants and other non-contaminants. By using the developed artificial neural network classification model, in total 32 classes of pesticides, veterinary drugs and mycotoxins were classified with good prediction accuracy and low false-positive rate. Based on the classification model, a screening procedure was developed in which the classes of unknown features in LC-HRMS were first predicted through the classification model, and then their structures were identified under the guidance of class information. Finally, the developed strategy was tentatively applied to the analysis of pork and aquatic products, and 8 chemical contaminants and 11 transformation products belonging to 8 classes were found. This strategy enables screening of unknown chemical contaminants and transformation products in complex food matrices.

Fluorescence Polarization Assay Based on a New Recognition Motif QepA for the One-Step Detection of Fluoroquinolones in Eggs.

A recognition motif is vital in determining the specificity and sensitivity of the fluorescence polarization assay (FPA) for detecting chemical contaminants in food. Four candidates (Gyrase, GyrBA, TopIV, and QepA) were prepared for this study. The applicability of QepA was confirmed through DNA cleavage assay, inhibition effects, and mechanism investigations using molecular docking, compared to other counterparts. Finally, a novel FPA based on QepA and a CIP-FITC tracer for the detection of fluoroquinolones (FQs) in eggs was developed. The limits of detection (LODs) for eight fluoroquinolones ranged from 2.2 to 5.1 ng g-1, with enrofloxacin, danofloxacin, and difloxacin meeting the maximum residue limits (MRLs). The spiked recoveries ranged from 65.8 to 103.6% with coefficients of variation (CVs) of 5.4-12.8%. Therefore, a new recognition motif for FQs that did not belong to conventional antibodies was identified, and QepA-based FPA could be a potential tool for rapid, homogeneous, and sensitive monitoring of the residue of FQs in eggs.

Factors responsible for the persistence of Hypothyroidism among Pakistani Women.

Substantial change in climate over the years in South Asia is directly affecting the diet and health of the population. It is important to analyze the aftermath of this change and its impact on the thyroid status. In recent years, a complex interplay of the changing climate with the environmental, geographical and dietary factors has contributed to the continued prevalence of hypothyroidism in Pakistani women. To study the influence of various factors which might be aggravating hypothyroidism in the female population of Pakistan, a thorough search of literature was conducted of various databases including Google Scholar and PubMed. Google as a search engine was also explored. This included both interventional and observational studies, published in English, from the year 1950 onwards uptil June 2023. It also included WHO website and local news clips about the awareness campaigns on iodine deficiency over the past years. All studies conducted on females to diagnose hypothyroidism, with both positive and negative outcomes were included in this study. The factors contributing to hypothyroidism among the female population in Pakistan encompass the effects of climate change, both direct and indirect, topographical factor, indiscriminate use of hazardous pesticides, presence of chemical contaminants in food and water, and a lack of awareness among the public and healthcare professionals about the condition's symptoms and management.

Priority list of potential endocrine-disrupting chemicals in food chemical contaminants: a docking study and in vitro/epidemiological evidence integration

ABSTRACT Diet is an important exposure route of endocrine-disrupting chemicals (EDCs), but many unfiltered potential EDCs remain in food. The in silico prediction of EDCs is a popular method for preliminary screening. Potential EDCs in food were screened using Endocrine Disruptome, an open-source platform for inverse docking, to predict the binding probabilities of 587 food chemical contaminants with 18 human nuclear hormone receptor (NHR) conformations. In total, 25 contaminants were bound to multiple NHRs such as oestrogen receptor α/β and androgen receptor. These 25 compounds mainly include pesticides and per- and polyfluoroalkyl substances (PFASs). The prediction results were validated with the in vitro data. The structural features and the crucial amino acid residues of the four NHRs were also validated based on previous literature. The findings indicate that the screening has good prediction efficiency. In addition, the epidemic evidence about endocrine interference of PFASs in food on children was further validated through this screening. This study provides preliminary screening results for EDCs in food and a priority list for in vitro and in vivo research.

A QUECHERS method for sample preparation in the analysis of pesticides in tomato

The tomato is one of the crops that is likely to be attacked by pests. The use of pesticides during its harvest has consequently increased in recent years. This use has raised concerns about the presence of chemical contaminants in food, which may have harmful effects on health. To identify and determine the presence of pesticides efficiently and reliably at any of the stages: washing, peeling and sterilization, a fast, easy, cheap, effective, robust, and safe methodology (QuEChERS) is created. Today, it is successfully implemented for the monitoring of these residues in tomato with recovery percentages and relative standard deviations according to international standards. This review analyzes the application of the QuEChERS methodology for the identification and determination of pesticides in tomato, through a review of the literature in recent years. In addition, a bibliometric analysis of the Scopus database between 2007-2021 is performed, finding that the most published areas are Chemistry and Agriculture, being China the leading country with more publications. It was concluded that in most of research, modifications are made in the methodology such as the use of dicyandiamine sludge, obtaining good results in the extraction and recovery percentages with the advantage of having a lower cost and environmental pollution.

EU consumer awareness of food safety and healthy diets: Are there synergies to benefit a sustainable protein transition?

This paper aims to gain more insight into potential synergies between food safety and healthy diets with a sustainable protein transition (i.e., reducing protein over-consumption and replacing animal protein with plant protein) in the EU. The paper is based on a systematic analysis of the survey on food safety, organized by the European Food Safety Authority (EFSA) as part of Eurobarometer wave 97.2 (Spring 2022). Consumers responded somewhat differently to the survey items on chemical contaminants in food than to those on biological hazards in food, plant health and animal health and welfare. They were somewhat more aware of and concerned about the former than the latter. They also had different ideas on the most important healthy diet items. Cluster analysis identified five clusters who, inter alia, focused on conventional options (e.g., eating fewer calories) or the protein replacement options. Multilevel logistic regression analysis showed that food safety awareness and concern variables, explicitly including farm animal welfare, were somewhat stronger associated with the protein replacement cluster than with the conventional cluster. Hence, synergies between food safety and healthy diet issues may stimulate the replacement (not reduction) aspects of a sustainable protein transition. The Discussion suggests that further research should investigate how improving the quality of a week menu with a high diversity of protein sources can help to promote the reduction of over-consumption.