Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake
- Autores
- Sigrist, Mirna Edit; Hilbe, Nandi; Brusa, Lucila; Campagnoli, Darío; Beldomenico, Horacio Ramon
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- An optimized flow injection hydride generation atomic absorption spectroscopy (FI-HGAAS) method was used to determine total arsenic in selected food samples (beef, chicken, fish, milk, cheese, egg, rice, rice-based products, wheat flour, corn flour, oats, breakfast cereals, legumes and potatoes) and to estimate their contributions to inorganic arsenic dietary intake. The limit of detection (LOD) and limit of quantification (LOQ) values obtained were 6 μg kg-1 and 18 μg kg-1, respectively. The mean recovery range obtained for all food at a fortification level of 200 μg kg-1 was 85-110%. Accuracy was evaluated using dogfish liver certified reference material (DOLT-3 NRC) for trace metals. The highest total arsenic concentrations (in μg kg-1) were found in fish (152-439), rice (87-316) and rice-based products (52-201). The contribution to inorganic arsenic (i-As) intake was calculated from the mean i-As content of each food (calculated by applying conversion factors to total arsenic data) and the mean consumption per day. The primary contributors to inorganic arsenic intake were wheat flour, including its proportion in wheat flour-based products (breads, pasta and cookies), followed by rice; both foods account for close to 53% and 17% of the intake, respectively. The i-As dietary intake, estimated as 10.7 μg day-1, was significantly lower than that from drinking water in vast regions of Argentina.
Fil: Sigrist, Mirna Edit. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina
Fil: Hilbe, Nandi. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina
Fil: Brusa, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Campagnoli, Darío. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina
Fil: Beldomenico, Horacio Ramon. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina - Materia
-
ARGENTINEAN DIETARY INTAKE
FI-HGAAS
FOOD
INORGANIC ARSENIC - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/267841
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Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intakeSigrist, Mirna EditHilbe, NandiBrusa, LucilaCampagnoli, DaríoBeldomenico, Horacio RamonARGENTINEAN DIETARY INTAKEFI-HGAASFOODINORGANIC ARSENIChttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1An optimized flow injection hydride generation atomic absorption spectroscopy (FI-HGAAS) method was used to determine total arsenic in selected food samples (beef, chicken, fish, milk, cheese, egg, rice, rice-based products, wheat flour, corn flour, oats, breakfast cereals, legumes and potatoes) and to estimate their contributions to inorganic arsenic dietary intake. The limit of detection (LOD) and limit of quantification (LOQ) values obtained were 6 μg kg-1 and 18 μg kg-1, respectively. The mean recovery range obtained for all food at a fortification level of 200 μg kg-1 was 85-110%. Accuracy was evaluated using dogfish liver certified reference material (DOLT-3 NRC) for trace metals. The highest total arsenic concentrations (in μg kg-1) were found in fish (152-439), rice (87-316) and rice-based products (52-201). The contribution to inorganic arsenic (i-As) intake was calculated from the mean i-As content of each food (calculated by applying conversion factors to total arsenic data) and the mean consumption per day. The primary contributors to inorganic arsenic intake were wheat flour, including its proportion in wheat flour-based products (breads, pasta and cookies), followed by rice; both foods account for close to 53% and 17% of the intake, respectively. The i-As dietary intake, estimated as 10.7 μg day-1, was significantly lower than that from drinking water in vast regions of Argentina.Fil: Sigrist, Mirna Edit. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; ArgentinaFil: Hilbe, Nandi. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; ArgentinaFil: Brusa, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Campagnoli, Darío. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; ArgentinaFil: Beldomenico, Horacio Ramon. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; ArgentinaElsevier2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/267841Sigrist, Mirna Edit; Hilbe, Nandi; Brusa, Lucila; Campagnoli, Darío; Beldomenico, Horacio Ramon; Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake; Elsevier; Food Chemistry; 210; 11-2016; 96-1010308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0308814616305994info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2016.04.072info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:14:35Zoai:ri.conicet.gov.ar:11336/267841instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:14:35.628CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
title |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
spellingShingle |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake Sigrist, Mirna Edit ARGENTINEAN DIETARY INTAKE FI-HGAAS FOOD INORGANIC ARSENIC |
title_short |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
title_full |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
title_fullStr |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
title_full_unstemmed |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
title_sort |
Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake |
dc.creator.none.fl_str_mv |
Sigrist, Mirna Edit Hilbe, Nandi Brusa, Lucila Campagnoli, Darío Beldomenico, Horacio Ramon |
author |
Sigrist, Mirna Edit |
author_facet |
Sigrist, Mirna Edit Hilbe, Nandi Brusa, Lucila Campagnoli, Darío Beldomenico, Horacio Ramon |
author_role |
author |
author2 |
Hilbe, Nandi Brusa, Lucila Campagnoli, Darío Beldomenico, Horacio Ramon |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
ARGENTINEAN DIETARY INTAKE FI-HGAAS FOOD INORGANIC ARSENIC |
topic |
ARGENTINEAN DIETARY INTAKE FI-HGAAS FOOD INORGANIC ARSENIC |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
An optimized flow injection hydride generation atomic absorption spectroscopy (FI-HGAAS) method was used to determine total arsenic in selected food samples (beef, chicken, fish, milk, cheese, egg, rice, rice-based products, wheat flour, corn flour, oats, breakfast cereals, legumes and potatoes) and to estimate their contributions to inorganic arsenic dietary intake. The limit of detection (LOD) and limit of quantification (LOQ) values obtained were 6 μg kg-1 and 18 μg kg-1, respectively. The mean recovery range obtained for all food at a fortification level of 200 μg kg-1 was 85-110%. Accuracy was evaluated using dogfish liver certified reference material (DOLT-3 NRC) for trace metals. The highest total arsenic concentrations (in μg kg-1) were found in fish (152-439), rice (87-316) and rice-based products (52-201). The contribution to inorganic arsenic (i-As) intake was calculated from the mean i-As content of each food (calculated by applying conversion factors to total arsenic data) and the mean consumption per day. The primary contributors to inorganic arsenic intake were wheat flour, including its proportion in wheat flour-based products (breads, pasta and cookies), followed by rice; both foods account for close to 53% and 17% of the intake, respectively. The i-As dietary intake, estimated as 10.7 μg day-1, was significantly lower than that from drinking water in vast regions of Argentina. Fil: Sigrist, Mirna Edit. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina Fil: Hilbe, Nandi. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina Fil: Brusa, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina Fil: Campagnoli, Darío. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina Fil: Beldomenico, Horacio Ramon. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Programa de Investigación y Análisis de Residuos y Contaminantes Químicos; Argentina |
description |
An optimized flow injection hydride generation atomic absorption spectroscopy (FI-HGAAS) method was used to determine total arsenic in selected food samples (beef, chicken, fish, milk, cheese, egg, rice, rice-based products, wheat flour, corn flour, oats, breakfast cereals, legumes and potatoes) and to estimate their contributions to inorganic arsenic dietary intake. The limit of detection (LOD) and limit of quantification (LOQ) values obtained were 6 μg kg-1 and 18 μg kg-1, respectively. The mean recovery range obtained for all food at a fortification level of 200 μg kg-1 was 85-110%. Accuracy was evaluated using dogfish liver certified reference material (DOLT-3 NRC) for trace metals. The highest total arsenic concentrations (in μg kg-1) were found in fish (152-439), rice (87-316) and rice-based products (52-201). The contribution to inorganic arsenic (i-As) intake was calculated from the mean i-As content of each food (calculated by applying conversion factors to total arsenic data) and the mean consumption per day. The primary contributors to inorganic arsenic intake were wheat flour, including its proportion in wheat flour-based products (breads, pasta and cookies), followed by rice; both foods account for close to 53% and 17% of the intake, respectively. The i-As dietary intake, estimated as 10.7 μg day-1, was significantly lower than that from drinking water in vast regions of Argentina. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/267841 Sigrist, Mirna Edit; Hilbe, Nandi; Brusa, Lucila; Campagnoli, Darío; Beldomenico, Horacio Ramon; Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake; Elsevier; Food Chemistry; 210; 11-2016; 96-101 0308-8146 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/267841 |
identifier_str_mv |
Sigrist, Mirna Edit; Hilbe, Nandi; Brusa, Lucila; Campagnoli, Darío; Beldomenico, Horacio Ramon; Total arsenic in selected food samples from Argentina: Estimation of their contribution to inorganic arsenic dietary intake; Elsevier; Food Chemistry; 210; 11-2016; 96-101 0308-8146 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0308814616305994 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2016.04.072 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |