Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data: a contribution to the risk assessment of an enteropathogenic mycotoxin

Carla Martins, Duarte Torres, Carla Lopes, Daniela Correia, Ana Goios, Ricardo Assunção, Paula Alvito, Arnau Vidal, Marthe De Boevre, Sarah De Saeger, Carla Nunes

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article number109863
JournalFood Research International
Volume140
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Food consumption
  • Modelling
  • Mycotoxins
  • Public health
  • Urinary biomarkers

Fingerprint

Dive into the research topics of 'Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data: a contribution to the risk assessment of an enteropathogenic mycotoxin'. Together they form a unique fingerprint.

Cite this