Probabilistic exposure assessment to food chemicals based on extreme value theory. Application to heavy metals from fish and sea products

Tressou, Jessica; Crépet, Amélie; Bertail, Patrice; Feinberg, Max; Leblanc, Jean-Charles

doi:10.1016/j.fct.2004.03.016

Cited by 69 publications

(71 citation statements)

References 10 publications

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“…Muitos dos metais pesados têm propriedades acumulativas 31 , e são particularmente preocupantes para as crianças, devido à capacidade de ingerir quantidades relativamente mais altas de metais do que os adultos, em termos de consumo por peso do corpo humano. A exposição total é a soma de todas essas vias de contaminação e é muito complexa de ser estabelecida em virtude das dificuldades de conhecimento de vários fatores, tais como: o tempo em que o organismo foi exposto a um determinado contaminante; o grau de contaminação existente no alimento ingerido; a resposta metabólica do Tabela 2.…”

Section: Contribuição Do Consumo De Carne De Siri Na Ingestão Diária unclassified

Avaliação de contaminação por metais pesados em amostras de siris azuis

Virga¹,

Geraldo²,

Santos³

2007

Ciênc. Tecnol. Aliment.

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ResumoMetais pesados por não serem biodegradáveis podem se acumular nos tecidos vivos ao longo da cadeia alimentar chegando ao ser humano principalmente por meio da alimentação. Siris e outros organismos que se alimentam de matéria orgânica existente em sistemas aquáticos, podem absorver uma carga maior destes elementos tóxicos e assim, representar um risco potencial à saúde da população da região. Neste trabalho, foram realizados estudos quantitativos sobre o teor de Pb, Cd, Cr, Zn e Cu em amostras (n = 144) de siris azuis do gênero Callinectes sp., coletados ao longo do rio Cubatão, utilizando um Espectrofotômetro de Absorção Atômica por Chama (FSAA). Exceto para o Cr, onde o valor médio obtido neste trabalho ficou acima do estabelecido para qualquer tipo de alimento pela legislação brasileira, todos os outros resultados estiveram abaixo dos limites máximos recomendados por agências de saúde. Uma discussão é apresentada sobre a contribuição ao valor provisório de ingestão diária tolerável (PTDI), sugerido pela Organização Mundial de Saúde, devido ao consumo de carne de siri pela população. Palavras-chave: metal pesado; contaminação; siri-azul; Callinectes sp.; espectrometria por absorção atômica. AbstractBecause they are nonbiodegradable, heavy metals can accumulate in the living tissues along the food chain, reaching humans mainly through food. Swimming crabs and other organisms which feed on organic matter that is present in aquatic systems can ingest high loads of these toxic elements; hence, they pose a potential risk to the health of regional populations. This work involved a quantitative analysis of Pb, Cd, Cr, Zn and Cu in blue crab specimens of the genus Callinectes sp. (n = 144) collected along the Cubatão river, using Flame Atomic Absorption Spectrophotometry (FAAS). Except for Cr, whose average value exceeded the limit allowed for any type of food by Brazilian regulations, all the other elements fell below the maximum content recommended by health agencies. This paper also discusses the contribution of crab meat consumed by the population to the provisional tolerable daily intake (PTDI) suggested by the World Health Organization.

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Section: Contribuição Do Consumo De Carne De Siri Na Ingestão Diária unclassified

Avaliação de contaminação por metais pesados em amostras de siris azuis

Virga¹,

Geraldo²,

Santos³

2007

Ciênc. Tecnol. Aliment.

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“…Precisely, a number K of extreme intakes is used to determine the tail parameter α of the Pareto cdf 1 − (τ x) −α , τ > 0 and α > 0, τ being chosen to ensure the continuity constraint. The value of K is fixed through a bias-variance trade-off, following exactly the methodology proposed in Tressou et al [2004]. Numerically, we have α = 2.099, τ = 5.92, and x K = 0.355.…”

Section: Estimation Of the Instrumental Distributions F U And Gmentioning

confidence: 99%

“…Indeed, certain modelling issues must be left to the risk assessor's choice, like using extreme value theory for possibly modeling the intake's tail out beyond the sample (refer to the discussion in Tressou et al [2004]) or incorporating features accounting for the metabolic rate's variability to the model for instance, according to the availability and quality of the data they require.…”

Section: Some Concluding Remarksmentioning

confidence: 99%

“…Intakes are then obtained through Eq. (1) based on these mean contamination levels: this is a simplifying approach that bears the advantage that fish species can be taken into account as extensively explained in Tressou et al [2004]. For comparison sake, all consumptions are divided by the associated individual body weight, also provided in the INCA survey, so that intakes are expressed in micrograms per kilogram of body weight per meal (µg/kgbw/meal).…”

Section: Contamination Data Cmentioning

confidence: 99%

“…From the INCA food list, 92 different fish or seafood species are determined and a mean level of contamination is computed from the contamination data, as in Crépet et al [2005], Tressou et al [2004]. Intakes are then obtained through Eq.…”

Section: Contamination Data Cmentioning

confidence: 99%

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Statistical analysis of a dynamic model for dietary contaminant exposure

Bertail

Clémençon

Tressou

2009

Journal of Biological Dynamics

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This paper is devoted to the statistical analysis of a stochastic model introduced in Bertail, Clémençon & Tressou (2008) for describing the phenomenon of exposure to a certain food contaminant. In this modeling, the temporal evolution of the contamination exposure is entirely determined by the accumulation phenomenon due to successive dietary intakes and the pharmacokinetics governing the elimination process in between intakes, in such a way that the exposure dynamic through time is described as a piecewise deterministic Markov process. Paths of the contamination exposure process are scarcely observable in practice, therefore intensive computer simulation methods are crucial for estimating the timedependent or steady-state features of the process. Here we consider simulation estimators based on consumption and contamination data and investigate how to construct accurate bootstrap confidence intervals for certain quantities of considerable importance from the epidemiology viewpoint. Special attention is also paid to the problem of computing the probability of certain rare events related to the exposure process path arising in dietary risk analysis using multilevel splitting or importance sampling techniques. Applications of these statistical methods to a collection of datasets related to dietary methyl mercury contamination are discussed thoroughly.

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Human risk assessment and regulatory framework for minerals in food

Yusà

Pardo

2015

Handbook of Mineral Elements in Food

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Probabilistic exposure assessment to food chemicals based on extreme value theory. Application to heavy metals from fish and sea products

Cited by 69 publications

References 10 publications

Avaliação de contaminação por metais pesados em amostras de siris azuis

Avaliação de contaminação por metais pesados em amostras de siris azuis

Statistical analysis of a dynamic model for dietary contaminant exposure

Human risk assessment and regulatory framework for minerals in food

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