Risk assessment of dietary exposure to potentially toxic trace elements in emerging countries: A pilot study on intake via flour-based products in Yerevan, Armenia

Co-contamination and interactions of multiple mycotoxins and heavy metals in rice, maize, soybeans, and wheat flour marketed in Shanghai City

Mycotoxins and heavy metals extensively contaminate grains and grain products, posing severe health risks. This work implements validated ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and inductively coupled plasma mass spectrometry (ICP-MS) methods to quantify the concentration of 12 mycotoxins and five heavy metals in rice, maize, soybeans, and wheat flour samples marketed in Shanghai. The mixed contamination characteristics were analyzed using correlation cluster analysis and co-contamination index, and the probabilities of all cross combinations of contaminations were analyzed using a self-designed JAVA language program. The results showed that grains and grain products were frequently contaminated with both mycotoxins and heavy metals, mostly with deoxynivalenol (DON), 3-acetyl-deoxynivalenol (3-ADON), 15-acetyl-deoxynivalenol (15-ADON), ochratoxin A (OTA), aflatoxins, fumonisin B1 (FB1), fumonisin B2 (FB2), fumonisin B3 (FB3), arsenic (As), chromium (Cr) and cadmium (Cd). All the samples (100 %) were contaminated with two or more contaminants, and 77.3 % of the samples were co-contaminated with more than four contaminants. In cereals and cereal products, the following combinations were closely associated: (FB3 +3-ADON), (FB1 +As), (FB1 +FB2), (DON+FB1), (DON+Cd), (As+Cd), (DON+Cd+As), (FB1 +FB2 +As), and (DON+3-ADON+15-ADON). The results indicated that mycotoxins and heavy metals frequently co-occurred in Shanghai grains and grain products, and they provided primary data for safety assessments, early warnings, and regulatory measures on these contaminants to protect public health.

Identification of potential food sources affecting blood lead levels and their health hazards (CVD, respiratory diseases, cancer)

Environmental lead exposure is a well-known and significant public health concern. In areas with low lead exposure, comprehensive and detailed research and validation are needed to eliminate the adverse effects of environmental lead exposure. This study aims to understand the possible food pathways of environmental lead exposure by exploring the contribution of food to blood lead and the mediating effect of blood lead in the occurrence of diseases. Similarly, as lead is a heavy metal pollutant with good research foundation, fine analysis of lead in this period can also be a reference for other unknown pollutants. In this cross-sectional study of 1162 peoples, the data are taken from National Health and Nutrition Examination Survey (NANHES) 2015-2016, we grouped the population according to the median blood lead level (0.038 μmol/L) to screen the variables adjusted by the model. we grouped foods by code and used a generalized additive mixed model (GAMM) to study their relationship with blood lead levels, a correlation has been found between egg mixtures (p = 0.007) and legumes (p = 0.041) consumption and blood lead levels. We analyzed how metabolic status, exercise, and macronutrient intake modulate the impact of certain foods on blood lead levels to infer its possible process. To verify whether adverse effects are caused by lead, we explored the mediating effect of blood lead on the relationship between food intake and disease [cardiovascular diseases (CVD), respiratory diseases, cancer], however, no statistically significant mediating effect was found. Overall, environmental lead exposure through food still affects blood lead levels, but it has not led to adverse outcomes in blood, respiratory system, or cancers Under conditions where lead exposure levels were equivalent to those in the study (blood lead levels， mean = 0.052 μmol/L, standard deviation = 0.048 μmol/L, median = 0.038 μmol/L, min = 0.002 μmol/L, max = 0.904 μmol/L, skewness = 6.543, kurtosis = 89.391).

Risk Characterization of the Armenian Population to Nickel: Application of Deterministic and Probabilistic Approaches to a Total Diet Study in Yerevan City

Nickel (Ni) is a widespread metal that occurs in food and drinking water from both natural and anthropogenic sources. Oral exposure to Ni can induce a variety of adverse effects; the European Food Safety Authority established a tolerable daily intake (TDI) of 13 μg/kg bw and a lowest-observed-adverse-effect level (LOAEL) of 4.3 μg/kg bw to assess the risk of allergic reactions upon acute exposure. This study, the first conducted in Armenia, aimed to assess the dietary exposure of the adult Yerevan population (1272 subjects of both sexes) to Ni in a total diet study (TDS). Detection of Ni was carried out using atomic absorption spectrometry. To determine food consumption values, a 24-h recall survey was used. Following the K-means clustering test, two clusters were determined for food product intake. For the risk characterization of acute oral exposure, the margin of exposure (MOE) was calculated using both deterministic and probabilistic (Monte Carlo method) approaches. The average total exposure was 4.396 μg/kg bw, with limited influence by age and gender. The main contributors were "fruits and vegetables" followed by "bread and flour-based products": the total intake would be 5.11 μg/kg bw for a woman with high consumption of fruits and vegetables. Hence, the estimated chronic dietary exposure was below the TDI, irrespective of age and gender groups, and including high consumers. However, acute oral exposure estimates led to MOE values of less than 30 for most food products, indicating potential health concerns for Ni-sensitized individuals. The Monte Carlo approach indicated that the probability of occurrence of MOE lower than 30 was very high in the case of beef/veal, pork and chicken meat, eggs, and fish, alongside vegetable sources such as buckwheat, tomato, watermelon/melon, and potatoes. The findings prompt an investigation of Ni sources in the target foods in the Caucasus area.

Chemical Contamination in Bread from Food Processing and Its Environmental Origin

Acrylamide (AA), furan and furan derivatives, polycyclic aromatic amines (PAHs), monochloropropanediols (MCPDs), glycidol, and their esters are carcinogens that are being formed in starchy and high-protein foodstuffs, including bread, through baking, roasting, steaming, and frying due to the Maillard reaction. The Maillard reaction mechanism has also been described as the source of food processing contaminants. The above-mentioned carcinogens, especially AA and furan compounds, are crucial substances responsible for the aroma of bread. The other groups of bread contaminants are mycotoxins (MTs), toxic metals (TMs), and pesticides. All these contaminants can be differentiated depending on many factors such as source, the concentration of toxicant in the different wheat types, formation mechanism, metabolism in the human body, and hazardous exposure effects to humans. The following paper characterizes the most often occurring contaminants in the bread from each group. The human exposure to bread contaminants and their safe ranges, along with the International Agency for Research on Cancer (IARC) classification (if available), also have been analyzed.

Risk assessment of uptake of trace elements through consumption of cereals: a pilot study in Yerevan, Armenia

The study aimed to assess the dietary exposure and related human health risks associated with trace elements through the intake of staple cereals, including buckwheat, rice, and emmer. The contents of Lead (Pb), Cadmium (Cd), Mercury (Hg), Nickel (Ni), Molybdenum (Mo), Iron (Fe), and Copper (Cu) were determined using Atomic Absorption Spectrometry. Cereal consumption data were obtained through a Semi-Quantitative Food Frequency Questionnaire amongst the Yerevan adult population. Concentrations of Pb, Cd, Hg, Ni, Mo, Fe and Cu were 0.75-5.56 µg/kg, 1.21-6 µg/kg, 6.7-6.99 µg/kg, 50.6-111 µg/kg, 20-429 µg/kg, 2770-30500 µg/kg and 601-1720 µg/kg respectively. The estimated daily intakes (EDI) of all studied trace elements did not exceed the health-based guidance values. The margin of exposure (MOE) values of Pb, Cd, Hg, and Mo for all clusters were above the threshold (>10 for Pb, Cd, and >100 for Hg, Mo) and therefore did not indicate a health concern. Meanwhile, in the case of Ni exposure, the MOE values for the second and third clusters of buckwheat consumption and for the third cluster of emmer consumption were below the threshold (<10) indicating that a human health risk cannot be excluded. Future work is proposed.

Dietary risk of milk contaminated with lead and cadmium in areas near mining-metallurgical industries in the Central Andes of Peru

The mining-metallurgical industry in the central Andes of Peru is a source of lead (Pb) and cadmium (Cd) contamination in milk, and there are no studies on the impact of their ingestion. Using flame atomic absorption spectrometry, we quantified the concentration of these metals in raw milk produced in agroecological zones near these industries, and estimated the exposure and dietary risk in people aged 2-85 yr with minimum, average and maximum daily milk intake. In 2018, 40 raw milk samples were collected from 20 cows at two times of the year. The mean Pb and Cd concentrations were 577 ± 18.2 and 18.35 ± 5.4 μg/kg, all samples exceeded the maximum limits (ML). Children aged 2-5 and 6-15 yr, with average milk consumption, had Pb weekly intakes (WI) of 2019 and 2423 μg, exceeding the risk value; values for Cd 64 and 77 μg were below the risk values. In those older than 20 years the WI for both metals are below the risk values. The Dietary Risk Coefficient (DRC) to Pb in children younger than 8 years was >3 due to higher milk consumption in relation to body weight; for children aged 9-19 years it was 1.7 and 2.9, being <1 for those older than 20 yr. Cd RDCs were <1 at all ages, with the exception of 2-year-olds in the high milk consumption scenario (RDC > 1). There was notable evidence of Pb and Cd exposure risk from consumption of milk produced near mining-metallurgical activities, predominantly for children under 19-year-olds. In Peru there are no regulations for Pb and Cd in fresh milk and milk products, we recommended that ML for heavy metals in food be established.