For risk assessment purposes, the dietary exposure to total arsenic and inorganic arsenic was estimated within the first German total diet study (BfR MEAL Study) for the whole population in Germany. Therefore, occurrence data of 356 different foods from the BfR MEAL Study were combined with consumption data from German nutrition surveys. Due to the different toxicological potentials of other water-soluble organic arsenic species present in rice-based foods, fish and seafood, dietary exposure to dimethylarsinic acid, monomethylarsonic acid and arsenobetaine was assessed in consumers in Germany through such foods for the first time. Related to the bodyweight, dietary exposure to total arsenic and inorganic arsenic in infants and young children (0.5-<5 years) were higher than in adolescents/adults (≥14 years). The highest median exposure estimates to inorganic arsenic resulted for the age group of infants from 0.5 to <1 year under modified lower bound conditions and for young children from 1 to <2 years under upper bound conditions (0.17 μg kg^-1 bodyweight day^-1-0.24 μg kg^-1 bodyweight day^-1 and 0.26 μg kg^-1 bodyweight day^-1-0.34 μg kg^-1 bodyweight day^-1, respectively). 'Grains and grain-based products' (especially rice) were identified as the main contributors for dietary exposure to total arsenic and inorganic arsenic for all age classes. Especially, for infants and young children, high consumption of rice-based foods and fish fingers is driving the dietary exposure to dimethylarsinic acid. The dietary exposure calculations indicate that a further reduction of dietary exposure to inorganic arsenic and further investigations to water-soluble organic arsenic species are necessary.

The German Total Diet Study (BfR MEAL Study) measured copper in 356 foods. In 105 of these foods copper was determined separately for conventionally and organically pooled samples. Mammalian liver, nuts, oilseeds, cocoa powder and chia seeds contained the highest copper levels. Organically produced foods tended to have higher levels compared to conventionally produced foods. Children's copper exposure was between 0.04 mg/kg body weight per day (mg/kg bw/day) and 0.07 mg/kg bw/day (median). High exposure (95th percentile) ranged between 0.07 mg/kg bw/day and 0.11 mg/kg bw/day. Adult's exposure ranged between 0.02 mg/kg bw/day (median) and 0.04 mg/kg bw/day (95th percentile). Grains and grain-based products were main contributors for all age groups. Copper intake was about 10% higher in a scenario where consumers select the organically produced variants. Children's median and high exposure was above the acceptable daily intake (ADI) of 0.07 mg/kg bw/day set by the European Food Safety Authority (EFSA). However, according to EFSA's evaluation this is not of concern due to higher requirement related to growth. For adults, frequent consumers of mammalian liver exceeded the ADI in median and 95th percentile. Intake of copper-containing dietary supplements may also lead to exceedance of the ADI in all age groups.

Spray applications enable a uniform distribution of substances on surfaces in a highly efficient manner, and thus can be found at workplaces as well as in consumer environments. A systematic literature review on modelling exposure by spraying activities has been conducted and status and further needs have been discussed with experts at a symposium. This review summarizes the current knowledge about models and their level of conservatism and accuracy. We found that extraction of relevant information on model performance for spraying from published studies and interpretation of model accuracy proved to be challenging, as the studies often accounted for only a small part of potential spray applications. To achieve a better quality of exposure estimates in the future, more systematic evaluation of models is beneficial, taking into account a representative variety of spray equipment and application patterns. Model predictions could be improved by more accurate consideration of variation in spray equipment. Inter-model harmonization with regard to spray input parameters and appropriate grouping of spray exposure situations is recommended. From a user perspective, a platform or database with information on different spraying equipment and techniques and agreed standard parameters for specific spraying scenarios from different regulations may be useful.

To review recent advances in research on per- and polyfluoroalkyl substances (PFAS) and outline priority steps for risk assessment in consumer health protection, the German Federal Institute for Risk Assessment (BfR) organized the ‘International PFAS Conference’ in Berlin in October 2025. Building on the European Food Safety Authority's (EFSA) opinion in 2020, global research activities on PFAS have intensified. The conference was attended by 200 participants from 18 countries and covered topics such as analytical methods, human exposure, toxicokinetics, toxicity, and future perspectives. Given that there are more than 21,000 different PFAS in use, discussions highlighted the need for further data collection and a basis for prioritizing substances. Robust exposure assessment requires improved analytical methods combined with newly developed predictive tools to quantify, identify, and make better use of non-target data. Hazard characterization may benefit from the combined use of classic experimental data sets, epidemiological data, and new approach methodologies (NAMs) data. The participants emphasized the continuous need for refined data and proposed a systematic consolidation of global data on shared data platforms, accompanied by corresponding guidelines for data usage. In the final panel discussion, effective risk communication was identified as a critical challenge, necessitating clear and consistent messaging for the public and policymakers. The conference concluded with five key recommendations for future health risk assessments: prioritizing PFAS; improving analytical methods; promoting generation of robust data and data gap filling; promoting open science, including the development of shared data infrastructure and cross-institutional knowledge exchange; and strengthening risk communication. These recommendations aim to support transparent, evidence-based and effective PFAS consumer health risk management in the decades ahead.