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

被引:64
|
作者
Tressou, J
Crépet, A
Bertail, P
Feinberg, MH
Leblanc, JC
机构
[1] INRA Met Risk, INA PG, F-75231 Paris 5, France
[2] CREST Lab Stat, F-92245 Malakoff, France
[3] INRA, CORELA, Lab Rech Consommat, F-94205 Ivry, France
关键词
food risk assessment; extreme value theory; Pareto index; heavy metals; sea product consumption;
D O I
10.1016/j.fct.2004.03.016
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This paper presents new statistical methods in the field of exposure assessment. We focus on the estimation of the probability for the exposure to exceed a fixed safe level such as the provisional tolerable weekly intake (PTWI), when both consumption data and contamination data are independently available. Various calculations of exposure are proposed and compared. For many contaminants, PTWI belongs to the exposure tail distribution, which suggests the use of extreme value theory (EVT) to evaluate the risk. Our approach consists in modelling the exposure tail by a Pareto type distribution characterized by a Pareto index which may be seen as a measure of the risk of exceeding the PTWI. Using propositions by EVT specialists, we correct the bias of the usual Hill estimator to accurately estimate this risk index. We compare the results with an empirical plug-in method and show that the Pareto adjustment is relevant and efficient when exposure is low compared to the PTWI while the plug-in method should be used when exposure is higher. To illustrate our approach, we present some exposure assessment for heavy metals (lead, cadmium, mercury) via sea product consumption. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1349 / 1358
页数:10
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