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

Detalhes bibliográficos
Autor(a) principal: Martins, Carla
Data de Publicação: 2021
Outros Autores: Torres, Duarte, Lopes, Carla, Correia, Daniela, Goios, Ana, Assunção, Ricardo, Alvito, Paula, Vidal, Arnau, De Boevre, Marthe, De Saeger, Sarah, Nunes, Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/36991
Resumo: 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.
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spelling Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxinModellingMycotoxinsFood consumptionUrinary biomarkersPublic healthDeoxynivalenol (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.Elsevier2023-04-13T14:18:46Z2021-02-01T00:00:00Z2021-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/36991eng0963-996910.1016/j.foodres.2020.109863Martins, CarlaTorres, DuarteLopes, CarlaCorreia, DanielaGoios, AnaAssunção, RicardoAlvito, PaulaVidal, ArnauDe Boevre, MartheDe Saeger, SarahNunes, Carlainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:11:20Zoai:ria.ua.pt:10773/36991Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:40.342321Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
title Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
spellingShingle Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
Martins, Carla
Modelling
Mycotoxins
Food consumption
Urinary biomarkers
Public health
title_short Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
title_full Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
title_fullStr Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
title_full_unstemmed Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
title_sort Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
author Martins, Carla
author_facet Martins, Carla
Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
author_role author
author2 Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Martins, Carla
Torres, Duarte
Lopes, Carla
Correia, Daniela
Goios, Ana
Assunção, Ricardo
Alvito, Paula
Vidal, Arnau
De Boevre, Marthe
De Saeger, Sarah
Nunes, Carla
dc.subject.por.fl_str_mv Modelling
Mycotoxins
Food consumption
Urinary biomarkers
Public health
topic Modelling
Mycotoxins
Food consumption
Urinary biomarkers
Public health
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-01T00:00:00Z
2021-02
2023-04-13T14:18:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/36991
url http://hdl.handle.net/10773/36991
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0963-9969
10.1016/j.foodres.2020.109863
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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