Risk Characterization Research Articles

Risk assessment of complex organoarsenic species in food.

The European Commission asked EFSA for a risk assessment on complex organoarsenic species in food. They are typically found in marine foods and comprise mainly arsenobetaine (AsB), arsenosugars and arsenolipids. For AsB, no reference point (RP) could be derived because of insufficient toxicity data. AsB did not show adverse effects in the two available repeat dose toxicity tests in rodents. It has not shown genotoxicity in in vitro assays. There is no indication of an association with adverse outcomes in human studies. The highest 95th percentile exposure for AsB was observed in 'Toddlers' with an estimate of 12.5 μg As/kg bw per day (AsB expressed as elemental arsenic). There is sufficient evidence to conclude that AsB at current dietary exposure levels does not raise a health concern. For glycerol arsenosugar (AsSugOH) a RP of 0.85 mg As/kg bw per day was derived based on the BMDL10 values for cognitive and motor function in mice. A margin of exposure (MOE) of ≥ 1000 would not raise a health concern. The highest 95th percentile estimate of exposure for AsSugOH (for adult consumers of red seaweed Nori/Laver) was 0.71 μg As/kg bw per day (AsSugOH expressed as elemental arsenic), which results in an MOE > 1000, not raising a health concern. Based on qualitative consideration of all identified uncertainties, it is regarded likely that the dietary exposures to AsB and AsSugOH do not raise a health concern. No conclusions could be drawn regarding other arsenosugars. No risk characterisation could be conducted for arsenolipids, due to the lack of data.

Use of electrical resistivity tomography to reduce landfill siting risks in the south-central kentucky karst

Electrical Resistivity Tomography (ERT) can be a key tool for aiding in characterization of karst geohazard risks at proposed landfill sites. This study is proximal to the south-central Kentucky karst and Mammoth Cave National Park and possesses siliciclastic cap rock upland areas that pose relatively high groundwater-contamination risks due to adjacent ravines floored by carbonates. Complex stratigraphy associated with the Mississippian-Pennsylvanian unconformity and juxtaposition of heterolithic sedimentary rocks in general presents further challenges for demarcating hydrogeological characterization of the base of engineered landfills. A conceptual site model integrates ERT surveying and field geology that both satisfactorily characterize the site and risks to groundwater resources without conducting multiple borings. The proposed landfill site is compared to well-known and mapped caves at a landfill near Bowling Green, Crumps Cave near Smiths Grove, and River Styx Spring at Mammoth Cave. Our work entails review of ERT datasets at known cave sites and compares these to two ERT profiles that traversed the proposed landfill site, which are integrated with study of outcrops, and an excavated pit and trench. ERT data range from several low 10 s to about 400 Ω-meter values for mud rock units whereas sandy units possess ERT values from approximately 500 to several tens of thousands of Ω meters. The greatest values are indicative of basal Pennsylvanian Caseyville Sandstone, and these exceed 32,000Ω meters. In comparison, ERT values at known cave sites range from one to 100,000 Ω meters, with elevated, dry rock or possibly dry (air filled) caves interpreted from the greatest values and low values reflective of conductive underground cave streams and moist caves. An unexpected challenge specific to the Hart County landfill study includes occurrence of well-drained and highly weathered Caseyville at the highest elevations of the site causing increased electrical contact resistance during ERT surveying. The overall ERT contrast however, between quartz-rich and clay poor strata (high-resistivity rocks and regolith) and clay-rich strata (low-resistivity rocks) provides independent data consistent with the observed stratigraphy exposed in site exposures. Nonuniqueness of conductive intervals at the Hart County site contrasts with other conductive areas at depth associated with moist or wet cave passages as documented at Crumps Cave and Mammoth Cave.

A new holistic perspective to assess the ecological risk of microplastics: A case study in Baiyangdian Basin, China

By integrating probabilistic ecological risk assessment with the overall risk index method, which considers the multidimensional characteristics of the microplastome, the ecological risks of microplastic pollution were assessed more comprehensively. This study took the Baiyangdian Basin as an example to address the limitations of current risk assessment methods that rely on concentration data or the individual risk of microplastics. Using an exponential regression model, the acute and chronic ecological risk thresholds for the overall risk index method were determined to be 0.43 and 0.30, respectively. The acute and chronic ecological risks of the microplastome occupied 61% and 79% of the Baiyangdian Wetland and 0% and 14% of the Fu River, while the Xiaoyi River did not exhibit risk during the rainy season. Results indicated that intense human activities, poor hydrodynamics, low settling velocity and high levels of environmental chemical pollutants jointly contributed to the high risk of the microplastome in water bodies. Compared with the probabilistic ecological risk assessment method (risk characterization ratio), there was a significant difference in the area of acute and chronic ecological risks caused by the microplastome in the Baiyangdian Basin when using the overall risk index method. This proved that considering only concentration cannot truly reflect the toxicity of microplastics to aquatic organisms.

Risk characterization for aflatoxin B1 in spices in Tabriz, Iran

Spices, as a type of natural food, are highly important in people’s dietary baskets. This study aimed to determine the level of aflatoxin B1 in spices distributed in Tabriz city and to estimate the deterministic risk of dietary exposure to aflatoxin B1 in certain spices using margin of exposure (MOE) and cancer risk approaches. For this purpose, 75 spice samples, including red pepper, black pepper, and turmeric (25 samples each), were randomly collected from spice distribution centers in Tabriz city from March to June 2023. The level of aflatoxin B1 was determined by high-performance liquid chromatography (HPLC). Red pepper and black pepper had the highest levels of aflatoxin B1 (5.13 ± 1.98 and 5.12 ± 2.12μg/kg, respectively), while turmeric had the lowest (3.27 ± 1.45μg/kg) (P <0.05). The average MOE was estimated to range from 728 to 1142 for residents of Tabriz based on their spice consumption (0.0075kg/person/day). Less than 10-4 cases per 100,000 people are at risk for cancer. Overall, according to the MOE, the results indicate aflatoxin health risks for the consumption of distributed spices in Tabriz city. Furthermore, continuous monitoring and periodic assessments are essential to ensure the safety of spice consumption.

Psychedelic risks and benefits: A cross-sectional survey study.

As classic psychedelics' therapeutic potential is studied and their popularity continues to rise, it is important to establish their relative risks and benefits. Previous surveys have tended to use convenience sampling on social media, select participants who have had either extremely positive or negative effects, and have not compared the risk/benefit profile of psychedelics to other substances. To address these limitations, we gathered samples from an opt-in panel service using quota-based sampling to approximate demographics representing US Census data, did not pre-specify positive or negative experiences, and compared experiences with psychedelics to those with cannabis. We conducted two studies, one using a between-subjects design (n = 743) and one using a within-subjects design (n = 514), in which participants recruited from an opt-in panel service reflected on prior experience with psychedelics or cannabis and indicated self-reported risks and benefits associated with their experience. Results indicated that first or most memorable psychedelic experiences were associated with greater acute challenging effects and persisting negative effects than first or most memorable cannabis experiences, but psychedelic experiences were also associated with greater positive acute and persisting effects. Common predictors of negative and positive acute and persisting effects with psychedelics included various experience qualities (e.g., dose level, presence of others) and individual differences (e.g., religiosity, personality), though only to a small degree. These findings on psychedelic experiences provide a more nuanced characterization of risks and benefits and their predictors.

Mycoflora diversity, exposure to mycotoxins, and cancer risk characterization associated with the consumption of two traditionally fermented alcoholic beverages in the Ho municipality of Ghana

Traditionally fermented alcoholic drinks are made with locally sourced ingredients and traditional knowledge, and they are typically drank in the immediate area of production. The ingredients are sources of microbial contamination in these drinks. This study aimed to update the mycoflora and evaluate levels of Ochratoxin A (OTA) and aflatoxins contamination of some local beverages (Raffia Sap ‘Palm wine’ and sorghum beer ‘Pito’) in the Ho municipality, Volta Region, Ghana. Standard mycological analyses were carried out on the samples and the plates were incubated for 5–7 days at 28 ± 1 °C. Mycotoxin levels in the samples were quantified using High-Performance Liquid Chromatography coupled to a fluorescence detector (HPLC-FLD) was used. Deterministic models recommended by a Joint FAO/WHO Expert Committee on Additives were used to assess cancer risk. The fungal counts of palm wine samples in the Ho municipality recorded were in a range of 3.29- 4.59 log10 CFU/ml, while pito samples recorded a fungal range between 2.55 and 4.08 log10 CFU/ml. A total of 13 fungal species, namely; Aspergillus niger, Aspergillus terreus, Aspergillus flavus, Aspergillus fumigatus, Fusarium oxysporum, Fusarium oligosporus, Fusarium verticillioides, Trichoderma harzianum, Rhizopus stolonifer, Penicillium verrucosum, Rhodotorula mucilaginosa., Mucor racemosus and Yeasts were isolated from both palm wine and pito samples. Notably, ochratoxin A (OTA) quantities ranged between 5.50 and 14.93 μg/kg for both samples while Total aflatoxins ranged between LOD-10.70 μg/kg for pito. No aflatoxins were detected in palm wine. Consumer risk assessment values computed for both moderate and heavy drinkers ranged between 4.08–40.20 ng/kg bw/day, 13.88–50.44, and 0.314–1.156 cases/10,000 person/year for Total aflatoxins while ochratoxin A contents ranged 4.08–40.20 ng/kg bw/day, 0.44–4.38, and 0.131–1.286 cases/10,000 person/year correspondingly for Estimated Daily Intake (EDI), Margin of Exposure (MOE), and Cancer Risks for the age categories considered. Generally, mean fungal counts in both palm wine and pito beverages were high and were found to be unsatisfactory while the fungi species in these beverages showed great diversity. Cancer Risk assessments for the mycotoxins suggested a potential health hazard to the consumers of these beverages in the Ho municipality.

Regulated and emerging mycotoxins occurrence in plant-based beverages from the Italian market

This study aimed to optimize a salting-out assisted liquid-liquid extraction (SALLE) procedure combined with ultra-high performance liquid chromatography coupled to mass spectrometry (UHPLC-MS/MS) for the simultaneous determination of 19 mycotoxins in plant-based beverages. The targeted mycotoxins were aflatoxins (AFB1, AFB2, AFG1, AFG2), alternariol (AOH), alternariol monomethyl ether (AME), tentoxin (TEN), fumonisins (FB1 and FB2), HT-2/T-2, ochratoxin A (OTA), zearalenone (ZEN), deoxynivalenol (DON), enniatins (ENNB, ENNB1, ENNA, ENNA1), and beauvericin (BEA). Satisfactory performance characteristics were obtained, with recoveries values > 70% and precision with RSD <20%. The methodology developed was applied to 96 commercial samples from Italy. All the samples analyzed contained at least one mycotoxin, and a particular incidence of non-regulated mycotoxins, mainly enniatins, BEA, and Alternaria toxins, was evidenced in all plant-based beverages. The contamination level ranged from 0.02 μg L−1 for BEA to 4.61 μg L−1 for DON. Overall, the present study contributes to providing comprehensive occurrence mycotoxin data in plant-based beverages, which is necessary for further evaluation of exposure and risk characterization.

Ecological risk assessment and characterization of microplastics in the beach sediments of southeast coast of India.

This study explores spatiotemporal variations of microplastics (MPs) in beach sediments along India's southeast coast, focusing on Tamil Nadu and Puducherry from 2020 to 2021. The MPs were extracted from the sediments through density separation and wet peroxidation. Following extraction, they were quantified and physically characterized using stereo-microscopy and chemically analyzed using ATR-FTIR. During the monsoon, Chennai (923 ± 380 MPs/kg) exhibited the highest MP abundance, followed by Puducherry (805 ± 222 MPs/kg), Nagapattinam (799 ± 257 MPs/kg), Thoothukudi (653 ± 258 MPs/kg), Rameswaram (585 ± 151 MPs/kg), and Kanyakumari (344 ± 71 MPs/kg). Similarly, in summer, Chennai (719 ± 192 MPs/kg) recorded the highest mean, trailed by Puducherry (645 ± 163 MPs/kg), Rameswaram (529 ± 138 MPs/kg), Nagapattinam (523 ± 95 MPs/kg), Thoothukudi (492 ± 104 MPs/kg), and Kanyakumari (335 ± 72 MPs/kg). Fibers predominated as the most common MP type. FTIR revealed polymers like polystyrene, polyethylene terephthalate, polyethylene, polypropylene, polyurethane, and polyamide. The Polymer Hazard Index indicated high polymer pollution risk, while the Pollution Load Index showed minimal contamination. The Potential Ecological Risk Index revealed low-to-medium MP pollution levels. Tailored strategies addressing plastic usage reduction and mitigation of terrestrial MP sources are imperative for coastal ecosystem resilience.

Morphometric Characterization and Dual Analysis for Flash Flood Hazard Assessment of Wadi Al-Lith Watershed, Saudi Arabia

Flash floods are one of the most hazardous natural events globally, characterized by their rapid onset and unpredictability, often overwhelming emergency preparedness and response systems. In the arid environment of Saudi Arabia, Wadi Al-Lith watershed is particularly prone to flash floods, exacerbated by sudden storms and the region’s distinct topographical features. This study focuses on the morphometric characterization and comparative analysis of flash flood risk within the Wadi Al-Lith basin. To assess flood susceptibility, two widely adopted methodologies were employed: the morphometric ranking approach and El-Shamy’s method. A 12.5-m resolution ALOS PALSAR digital elevation model (DEM) was used to delineate the watershed and generate a detailed drainage network via Arc-Hydro tools in the ArcGIS 10.4 software. Fifteen morphometric parameters were analyzed to determine their influence on flood potential and hazard prioritization. The findings of this study provide crucial insights for regional flood risk management, offering an improved understanding of flash flood dynamics and assisting in developing effective mitigation strategies for Wadi Al-Lith and similar environments. The findings reveal that Wadi Al-Lith comprises multiple sub-catchments with varying degrees of vulnerability to flash flooding. According to the morphometric hazard analysis (MHA), certain sub-catchments, including sc-2, sc-4, sc-5, sc-6, sc-10, sc-12, sc-13, and sc-15, emerge as highly susceptible to flood hazards, while others (sc-1 and sc-9) fall into moderate risk categories. In contrast, the application of El-Shamy’s method provides a different ranking of flood risks across the watershed’s sub-catchments, offering a comparative view of flood susceptibility. The insights gained from this dual-analysis approach are expected to support the development of targeted flood prevention and mitigation strategies, which are essential for minimizing the future impacts of flash flooding in the Wadi Al-Lith watershed and ensuring better preparedness for local communities.

Abstract 4140130: Association of Depression and Anxiety with Coronary Plaque: The Miami Heart Study (MiHeart)

Introduction: The prevalence of psychological disorders have been increasing, especially since the COVID-19 pandemic. Multiple mechanisms such as medication nonadherence, negative coping behaviors, and systemic inflammation may mediate the potential effects of depression and anxiety on atherosclerosis. Question: Is there an association of depression or anxiety with the presence of plaque assessed by coronary computed tomography angiography (CCTA) among adults free of clinical coronary artery disease (CAD)? Aim: We aim to examine the association of psychological factors with CCTA-based plaque, as they may be key targets for prevention and CCTA could be considered for enhanced risk characterization. Methods: This cross-sectional study analyzed baseline data from the community-based Miami Heart Study (MiHeart). Depression was assessed by the Patient Health Questionnaire 8-item scale with a score ≥10 indicating binary depression. Anxiety was assessed by the Generalized Anxiety Disorder 7-item questionnaire with a score ≥10 demonstrating binary anxiety. The outcome was the binary presence of any plaque on CCTA. Multivariable logistic regression models were adjusted for potential confounders and clinically relevant risk factors. Sensitivity analyses further examined the severity of depressive symptoms, severity of anxiety symptoms, individuals with either depression or anxiety, and individuals with both depression and anxiety as predictors of coronary plaque. Results: Of the 2,356 individuals (mean age 53.4±6.8 years), 50.4% were men and 47.1% were of Hispanic ethnicity. Depression and anxiety were reported in 143 (6.1%) and 224 (9.5%) of individuals, respectively. CCTA-identified plaque was present in 49.0% of participants with depression and 54.0% of those with anxiety, and plaque presence did not significantly differ when compared to those without depression or without anxiety, respectively. There were no significant associations between depression and plaque (adjusted odds ratio [aOR]: 1.03; 95%CI [0.70, 1.52]; p=0.891) or between anxiety and plaque (aOR: 1.27; 95%CI [0.93, 1.73]; p=0.138) in all regression models. On sensitivity analysis, there were also no statistically significant associations found. Conclusion: Our study found no association of depression, anxiety, their combination, or their severity with coronary plaque on CCTA in asymptomatic adults. To our knowledge, this is the first large study on this topic utilizing CCTA data in a U.S. population.

Unmasking the spread, carcinogenic-non carcinogenic risk characterization, and source fingerprinting of organochlorine pesticides (OCPs) in soil and vegetables of Gaya, Bihar, India.

The use of organochlorine pesticides (OCPs) in specific regions is still prevalent. Moreover, the impact of past utilization can be observed in the present environmental matrices. The present study monitored the extent of contamination of OCPs in the soil and vegetable samples of Gaya, Bihar, India. For this, 63 soil and vegetable samples were collected from the vegetable cultivated area of Gaya. The collected samples were extracted using a Soxhlet extraction unit and OCPs were analysed with a gas chromatography-mass spectrometry detector. The concentration data generated from the analysis were interpreted using statistical tools and software. Mean concentration (μg/g) of Σ19OCPs in soil from residential, agricultural, commercial, and polyhouse sites were 0.69, 2.21, 0.17, and 0.72, respectively. Similarly, in vegetable samples, mean concentration (μg/g) of Σ19OCPs were 0.91, 0.96, 1.00, and 0.67, respectively. Among the monitored vegetable types, the concentration of OCPs increased in the order: pods > tubers > leaves > fruits > roots > stem. The bioconcentration factor of 19 OCPs showed that 61.90% of vegetable samples were hyperaccumulators. The results of molecular diagnostic ratio and positive matrix factorization reported the recent inputs of heptachlor, aldrin, endrin and methoxychlor; the past application of dichlorodimethyltrichloroethane (DDT), endosulfan, and chlordane; and the degradation of DDT to its metabolites and aldrin to dieldrin, which make up an overall source profile of OCPs in study area. The study found that incremental lifetime cancer risks and hazard quotients ranged from 6.98 × 10-8 to 1.31 × 10-5 and 4.25 × 10-2 to 4.63 × 10-1, respectively in vegetable samples which indicate low to high ILCR and low non-carcinogenic risk to populations exposed to OCPs. The study indicates the long lasting impact of past pesticide use by studying the contamination in soil and vegetables, and raises serious concerns about food safety. The contamination poses direct health risk to consumers related to potential carcinogenic and endocrine disrupting effects. Thus monitoring on the ground level could be a force to modify region specific policies, health, and remediation measures related to exposure to OCPs.

Integrating the lifelong exposure dimension of a chemical mixture into the risk assessment process. Application to trace elements

Lifelong, the general population is exposed to mixtures of chemicals. Most often, risk assessment is performed to estimate the probability of adverse effects in the population using external exposures to a single chemical and considering one route of exposure. To estimate whole exposure to a chemical, human biomonitoring studies are used to measure chemical concentrations in biological matrices. The limitations of these studies are that it is not possible to distinguish the sources or the routes of exposure. Moreover, only the concentrations of a limited number of chemicals are usually determined due to the associated cost. In this study, a methodology has been developed to estimate the internal exposures of the population to a mixture of trace elements (inorganic As, Cd, Pb and Hg) throughout lifetime. This methodology uses realistic lifetime exposure trajectories coupled to physiological based kinetic modeling, considering several sources of exposure. Then, the estimated biomarkers of exposure were compared to human biomonitoring data to estimate the robustness of the methodology. Finally, risk characterization was performed based on the simulated biomarkers of exposure considering an additive effect of chemicals. This methodology allows to determine the contribution of chemicals to the overall risk of renal effect.

Guidance for establishing and applying tolerable upper intake levels for vitamins and essential minerals.

Vitamins and essential minerals are micronutrients that are required for the normal functioning of the human body. However, they may lead to adverse health effects if consumed in excess. A tolerable upper intake level (UL) is a science-based reference value that supports policy-makers and other relevant actors in managing the risks of excess nutrient intake. EFSA's principles for establishing ULs for vitamins and minerals were originally developed by the Scientific Committee on Food in 2000. This guidance from the EFSA Panel on Nutrition, Novel Foods and Food Allergens provides an updated framework for UL assessments. A draft was published in 2022 and underwent a 2-year piloting period. The present document incorporates revisions based on the experience gained through its practical implementation. It covers aspects related to the planning of the risk assessment (problem formulation and definition of methods) and its implementation (evidence retrieval, appraisal, synthesis, integration, uncertainty analysis). As in the previous framework, the general principles developed for the risk assessment of chemicals in food are applied, i.e. hazard identification, hazard characterisation, intake assessment, risk characterisation. Specific to nutrients are their biochemical and physiological roles and the specific and selective mechanisms that maintain the systemic homeostasis and accumulation of the nutrient in the body. Such considerations must also be taken into account when conducting risk assessments of nutrients.

Ochratoxin a levels in Turkish coffee: a probabilistic health risk assessment via Monte Carlo simulation.

Throughout history, Turkish coffee has been the most widely consumed type of coffee in Turkey. Therefore, the goal of this study was to determine the amount of ochratoxin A (OTA) present in Turkish coffee and to analyze any potential health hazards. A total of 41 Turkish coffees were collected and analyzed for OTA activity using a competitive enzyme immunoassay (ELISA). Furthermore, dietary exposure and health risk assessments for the Turkish population were calculated based on analytical results and coffee consumption data from the Turkish Nutrition and Health Survey 2019 (TNHS-2019) in three age categories (15-18, 19-64, and 65 + years). Nine of the samples contained more than 2.5μg/kg OTA, with an average of 5.24μg/kg. The OTA concentration in 3 samples exceeded the permissible maximum limit (5μg/kg) established by Turkish legislation, and the mean concentration was 8.41μg/kg. A margin of exposure (MOE) approach was used for risk characterization, considering both non-neoplastic and neoplastic consequences. There were no concerns about health risks because MOEs were more than 10,000 for all categories. Although the levels of OTA analyzed in Turkish coffee did not pose a risk to individuals in the three age categories, emphasis should be placed on minimizing and controlling OTA concentrations in Turkish coffee. Additionally, it is also necessary to consider other food sources that could contribute to OTA exposure.

Methodological framework for early detection of dengue outbreaks in Tanzania

Abstract Background Dengue fever is a major public health problem because it is a widespread and rapidly transmitted mosquito-borne viral disease. We developed a framework for early detection of dengue outbreaks in Tanzania, starting with detection of suspected and/or confirmed cases, followed by site-specific risk characterization, both useful for planning and prioritizing outbreak interventions or epidemic preparedness. Methods Our initial focus was on the identification and categorization of indicators that are specifically tailored to the early detection and classification of outbreak events. The framework was then evaluated using (i) available cases with syndromic and laboratory-confirmed disease information from ProMED emails using decision tree analysis, and (ii) available historical dengue epidemic data at the local level from 2019 with 6,795 confirmed cases using negative binomial regression analysis adjusted for month and area. Results The laboratory-confirmed diagnosis (dengue yes or no) was consistent with the results of the suspected case classification algorithm for clinically defined syndromic cases. There was strong evidence of an increase in dengue cases with higher site-specific risk (rate ratio = 2.51 (95% CI = [1.76, 3.58])) when regressing confirmed dengue cases in 2019 as the dependent variable and site-specific risk as the independent variable. Conclusions The rapid dengue outbreak risk assessment developed may be useful in controlling the epidemic in Tanzania. The suspected case classification algorithm can be a very useful tool to better assess whether a potential dengue case is present and thus requires laboratory confirmation. The framework can be used to rapidly predict the risk of dengue outbreaks, which is useful for planning and prioritizing interventions or for epidemic preparedness. Key messages • Framework for a novel rapid risk assessment for early detection of dengue outbreaks in Tanzania. • Framework relevant to epidemic preparedness.

Artificial intelligence reveals past climate extremes by reconstructing historical records

The understanding of recent climate extremes and the characterization of climate risk require examining these extremes within a historical context. However, the existing datasets of observed extremes generally exhibit spatial gaps and inaccuracies due to inadequate spatial extrapolation. This problem arises from traditional statistical methods used to account for the lack of measurements, particularly prevalent before the mid-20th century. In this work, we use artificial intelligence to reconstruct observations of European climate extremes (warm and cold days and nights) by leveraging Earth system model data from CMIP6 through transfer learning. Our method surpasses conventional statistical techniques and diffusion models, showcasing its ability to reconstruct past extreme events and reveal spatial trends across an extensive time span (1901-2018) that is not covered by most reanalysis datasets. Providing our dataset to the climate community will improve the characterization of climate extremes, resulting in better risk management and policies.

Human health risk from co-occurring mycotoxins in dairy: A feed-to-fork approach

The presence of multiple mycotoxins in bovine dairy products can lead to potentially harmful health effects. This study examined the risk to human health from multiple mycotoxins in bovine dairy products using a feed-to-fork approach. It conducted a component-based risk assessment, using the toxicity of the most potent mycotoxin as a reference for others. The model also accounted for the influence of varying feed composition on mycotoxin contamination, considering monthly feeding pattern changes in Ireland. The probabilistic risk assessment uses Monte Carlo simulation to capture uncertainty and variability present in the model. The risk characterisation was undertaken using the Margin Of Exposure (MOE) method, where if the MOE was below 10,000, then the population's health was considered at risk. This study investigated the risk to human health from single mycotoxins and a combination of mycotoxins. The results showed that all mycotoxins were of low risk. However, the risk increased when aflatoxin was included in the co-occurring groups. Since 5% of the MOE was less than 10,000, the Irish population (male and female) was at relatively low risk of consuming aflatoxin or other co-occurring mycotoxin-contaminated milk. In comparison, the age group 8–12 years were at a relatively higher risk, with 10% of the MOE less than 10,000. The carry-over rates, the concentration of mycotoxin in feed components and the feeding composition were the most sensitive parameters. An increase in aflatoxin production in feed components can occur under climate scenarios and thus needs to be monitored, preventing any risks from aflatoxin or a combination of co-occurring mycotoxins. This study underscores the need for continuous monitoring and preventive measures, especially in feed components that are sensitive to aflatoxin-producing fungi that may contaminate bovine feed.

Premised research on dietary exposure to benzo[a]pyrene, acrylamide, and Nnitrosodimethylamine from common fried and grilled dishes in North Vietnam

Fried and grilled cooking methods and the widespread consumption of certain dishes may expose the population to elevated levels of potentially carcinogenic compounds, such as benzo[a]pyrene (BaP), acrylamide, and N-nitrosodimethylamine (NDMA). This study aims to quickly estimate dietary exposure to these contaminants and assess the associated carcinogenic risk for several common Vietnamese fried and grilled dishes. The concentrations of the target compounds were obtained from the study showed that BaP, NDMA, and acrylamide are the groups of substances of greatest concern. The analytical results of 235 samples of meat and meat products (grilled/fried/smoked), seafood and seafood products (grilled/fried/smoked), processed oils, and potatoes showed that 12 samples detected acrylamide in the range of 5.0 &amp;ndash; 162.0 &amp;micro;g/kg found in grilled/fried dishes and 5.0 &amp;ndash; 4605 &amp;micro;g/kg for fried potatoes. Additionally, 204 samples detected NDMA in all groups in the range of 0.20 &amp;ndash; 15.0 &amp;micro;g/kg, and 27 samples detected BaP in the range of 5.2 &amp;ndash; 88 &amp;micro;g/kg in grilled/roasted food. Combined with information on food consumption patterns to estimate dietary exposure, four age groups were divided into under 6 years old, 6 &amp;ndash; 18 years old, 18 &amp;ndash; 50 years old, and over 50 years old, which showed that the consumption of processed foods by age groups was very different. In particular, the age group from 6 to 50 years old was the group that consumed the most of these foods (14.1 &amp;ndash; 140 g/day). Specifically, up to 94.4% of people interviewed ate fried meat, 88.8% ate fried seafood and 85% ate fried potatoes. Risk characterization using the margin of exposure (MOE) and Cancer Slope Factor approaches indicate that certain dishes, such as grilled/smoked meat and fish, and deep-fried foods, may pose a significant cancer risk to Vietnamese consumers.

Unveiling Priority Emerging PFAS in Taihu Lake Using Integrated Nontarget Screening, Target Analysis, and Risk Characterization.

Amidst tightening regulations, the proliferation of next-generation per- and polyfluoroalkyl substances (PFAS) necessitates a deeper understanding of their environmental fate and potential risks. Here, we conducted a comprehensive assessment of PFAS in the water and sediment of Taihu Lake, incorporating both nontarget and target screening, seasonal and geographical variation analysis, and risk prioritization. A total of 58 PFAS from 13 classes were identified, revealing complex PFAS contamination. In addition to short-chain perfluoroalkyl carboxylates (PFCAs) and sulfonates (PFSAs), bis(trifluoromethanesulfonyl)imide (Ntf2) and perfluoro-2,5-dimethyl-3,6-dioxo-heptanoic acid (C7 HFPO-TA) exhibited relatively high concentrations in water, with median values of 21.7 and 5.72 ng/L, respectively. Seasonal and geographical variation analysis revealed elevated levels of C7 HFPO-TA, Ntf2, and perfluorohexanoic acid (PFHxA) in the northeastern areas, suggesting transport via water diversion project. Multicriteria risk prioritization identified four high priority PFAS (Ntf2, C7 HFPO-TA, PFHxA, and perfluorooctanoic acid (PFOA)) in water and two high priority PFAS (hexafluoropropylene oxide dimer acid (HFPO-DA) and PFHxA) in sediment. Overall, this study revealed Ntf2 and C7 HFPO-TA as priority PFAS in Taihu Lake, underscoring the urgent necessity of evaluating risks associated with these emerging PFAS.

Risk assessment of Arsenic in surface water of China water systems based on a time-dependent species sensitivity distribution (SSD) method

Arsenic (As) is a naturally occurring metalloid element widespread in the environment. Assessing the ecological risk of As in surface water, especially the acute risk caused by emergent pollution incidents, is of great significance. However, acute toxicity data including median lethal concentration (LC50) and median effective concentration (EC50) of As derived by toxicology experiment may vary according to the exposure time, which is referred as time dependence effect. Time dependence not only affects toxicity data but also influences the characterization of acute risk in the ecosystem. However, previous research on the time dependence effect of As, especially the quantitative influence on the risk assessment is still limited. In this research, acute toxicity data of As(III) and As(V) was collected. Time dependence of toxicology data of inorganic As was studied. Time-dependent species sensitivity distributions of freshwater species were established. The hazardous concentration for 5% of species (HC5) values in different exposure time were further derived. Finally, the dynamic ecological risk of As in major Chinese water basins was evaluated. The results suggested that the toxicity data of inorganic As had a significant linear relationship (p < 0.01) with time. The HC5 values of As (III) and As (V) at an exposure time of four days were reduced by 15.5% and 77.5%, respectively, as compared to the HC5 value of one day. According to the ecological risk characterized by the probability density overlapping area method, the ecological risk of As(III) and As(V) increases with the exposure duration. The Yangtze River had the highest risk, with risk values ranging from 19.9% to 22.6%. According to the results, the time dependence of toxicity data should be fully considered in the formulation of water quality criteria or ecological risk assessment so as to provide better protection for the water ecosystem security.