This report presents the outcome of extensive literature search on studies related to the chemistry and toxicity of glycoalkaloids and quinolizidine alkaloids in food and feed. The systematic literature search captures available scientific information pub ...
The objective of Aquarius project was to test the applicability of a food chain analysis on Atlantic salmon farmed in Norway to identify and monitor vulnerabilities and drivers of change for the identification of emerging risks. To this end, a comprehensi ...
This study applied a procedure for the identification of potential emerging chemical risks in the food chain to substances registered under the REACH Regulation that was previously developed and tested in an EFSA‐sponsored pilot study. The selection was l ...
EFSA defines ‘chemical mixtures’ as ‘several substances which may have combined effects on the body from their combined exposures’. There are already some methodologies for assessing risks from combined exposure to groups of chemicals, and EFSA together w ...
Researchers, governments, agencies, food producers and the civil society are increasingly concerned about ‘emerging food risks’. It is recognised that the successful identification of emerging risks is at the heart of protecting public health and the envi ...
Polychlorinated dibenzodioxins (PCDD), polychlorinated dibenzofurans (PCDFs) and dioxin‐like polychlorinated biphenyls (DL‐PCBs) are detected ubiquitously in the environment, diet and human tissues. The European Food Safety Authority (EFSA) CONTAM Panel r ...
To enable the hazard identification and characterisation in the risk assessment for humans related to the seventeen 2,3,7,8‐substituted dioxins (PCCDs) and furans (PCDFs) and the twelve dioxin‐like polychlorinated biphenyls (DL‐PCBs), EFSA outsourced an e ...
The goal of the current work was to implement and verify previously published rat and human PBPK modelling codes for TCDD into Berkeley Madonna. The US‐EPA has used these PBPK models in the reassessment of TCDD. A procurement contract has been set up to e ...
This Report presents the results from EFSA project RC/EFSA/AMU/2016/01 related to the implementation of machine learning techniques for literature reviews and systematic reviews in EFSA. An overview of the different steps of a systematic review is provide ...
The present document is a summary of the update and maintenance of the EFSA's Chemical Hazards Database that has been established few years ago to map the hazard data as collected from the EFSA opinions, statements and conclusions; more specifically ...