Deoxynivalenol exposure assessment through a modelling approach of food intake and biomonitoring data - a contribution to the risk assessment of an enteropathogenic mycotoxin
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , |
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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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 |
repository.mail.fl_str_mv |
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1799137731176038400 |