Quantitative assessment of exposure to the mycotoxin Ochratoxin A in food

被引:41
作者
Gauchi, JP
Leblanc, JC
机构
[1] INRA, Unite Biometrie, F-78352 Jouy En Josas, France
[2] Natl Inst Agr Res, Sci Directorate Human Nutr & Food Safety, Jouy En Josas, France
关键词
risk assessment; exposure; Ochratoxin A; food;
D O I
10.1111/0272-4332.00021
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This article presents the methodology and the simulation results concerning the quantitative assessment of exposure to the fungus toxin named Ochratoxin A (OA) in food, in humans in France. We show that is possible to provide reliable calculations of exposure to OA with the conjugate means of a nonparametric-type method of simulation, a parametric-type method of simulation, and the use of bootstrap confidence intervals. In the context of the Monte Carlo simulation, the nonparametric method takes into account the consumptions and the contaminations in the simulations only via the raw data whereas the parametric method depends on the random samplings from distribution functions fitted to consumption and contamination data. Our conclusions are based on eight types of food only. Nevertheless, they are meaningful due to the major importance of these foodstuffs in human nourishment in France. This methodology can be applied whatever the food contaminant (pesticides, other mycotoxins, Cadmium, etc.) when data are available.
引用
收藏
页码:219 / 234
页数:16
相关论文
共 27 条
[1]   ASYMPTOTIC THEORY FOR BOOTSTRAPPING THE EXTREMES [J].
ANGUS, JE .
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1993, 22 (01) :15-30
[2]  
[Anonymous], 1979, Monte Carlo Methods, DOI DOI 10.1007/978-94-009-5819-7
[3]  
*ASPCC, 1999, OBS CONS AL ET DISTR
[4]   On the impossibility of estimating densities in the extreme tail [J].
Beirlant, J ;
Devroye, L .
STATISTICS & PROBABILITY LETTERS, 1999, 43 (01) :57-64
[5]  
Beirlant J., 1996, Practical analysis of extreme values
[6]  
BERTAIL P, 2000, COMMUNICATION DEC
[7]  
BIRGE L, UNPUB MANY BINS SHOU
[8]  
BREIMAN L, 1990, J STAT COMPUT SIM, V37, P127
[9]   Bootstrap confidence intervals for tail indices [J].
Caers, J ;
Beirlant, J ;
Vynckier, P .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 1998, 26 (03) :259-277
[10]  
CASTELLAN G, 1999, 61 ORS U