TY - JOUR
T1 - Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data – A contribution to the risk assessment of an enteropathogenic mycotoxin
AU - Martins, Carla
AU - Torres, Duarte
AU - Lopes, Carla
AU - Correia, Daniela
AU - Goios, Ana
AU - Assunção, Ricardo
AU - Alvito, Paula
AU - Vidal, Arnau
AU - De Boevre, Marthe
AU - De Saeger, Sarah
AU - Nunes, Carla
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - Food consumption
KW - Modelling
KW - Mycotoxins
KW - Public health
KW - Urinary biomarkers
UR - http://www.scopus.com/inward/record.url?scp=85096009903&partnerID=8YFLogxK
U2 - 10.1016/j.foodres.2020.109863
DO - 10.1016/j.foodres.2020.109863
M3 - Article
C2 - 33648181
AN - SCOPUS:85096009903
SN - 0963-9969
VL - 140
JO - Food Research International
JF - Food Research International
M1 - 109863
ER -