Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin. (February 2021)

• Record Type: Journal Article
• Authors: Martins, Carla; Torres, Duarte; Lopes, Carla; Correia, Daniela; Goios, Ana; Assunção, Ricardo; Alvito, Paula; Vidal, Arnau; De Boevre, Marthe; De Saeger, Sarah; Nunes, Carla
• Is Part Of: Food research international. Volume 140(2021)
• Publication Date: 2021-02
• Subjects: Modelling -- Mycotoxins -- Food consumption -- Urinary biomarkers -- Public health; Food -- Analysis -- Periodicals; Food industry and trade -- Periodicals; Food industry and trade -- Canada -- Periodicals; Food Technology -- Periodicals; Food -- Periodicals; Food-Processing Industry -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Industrie et commerce -- Canada -- Périodiques; Aliments -- Recherche -- Périodiques; Food industry and trade; Canada; Periodicals; Electronic journals; 664.005
• DOI: 10.1016/j.foodres.2020.109863
• Languages: English
• ISSNs: 0963-9969

Abstract

Graphical abstract: Highlights: A mathematical modelling was performed to estimate exposure to deoxynivalenol (DON). The exposure of Portuguese population to DON was estimated for all age groups. Children (3.2%) and adolescents (6.0%) exceeded the Tolerable Daily Intake for DON. Cereal-based products were confirmed as contributors for exposure to DON. Abstract: Deoxynivalenol (DON), an enteropathogenic mycotoxin produced by Fusarium species, is usually associated with adverse health outcomes such as gastrointestinal diseases and immunotoxicity. To estimate DON exposure of the Portuguese population at national level, a modelling approach, based on data from 94 Portuguese volunteers, was developed considering the inputs of the food consumption data generated within the National Food and Physical Activity Survey and the human biomonitoring data used to assess the exposure to DON. Ten models of association between DON urinary biomarkers and food items (pasta, cookies, biscuits, sweets, bread, rusks, nuts, oilseeds, beer, meat, milk) were established. Applying the most adequate model to the consumption data (n = 5811) of the general population, the exposure estimates of the Probable Daily Intake revealed that a fraction (0.1%) of the Portuguese population might exceed the Tolerable Daily Intake defined for DON. The analysis stratified by age revealed children (3.2%) and adolescents (6.0%) are more likely to exceed the Tolerable Daily Intake for DON. Although the unavoidable uncertainties, these results are important contributions to understand the exposure to this mycotoxin in Portugal, to assess the associated risk and the potential public health consequences.