Statistical evaluation of chronic toxicity data on aquatic organisms for the hazard identification:: The chemicals toxicity distribution approach

被引:11
作者
Gonzalez-Doncel, Miguel [1 ]
Ortiz, José [1 ]
Izquierdo, Juan J. [1 ]
Martin, Barbara [1 ]
Sanchez, Paloma [1 ]
Tarazona, Jose V. [1 ]
机构
[1] Natl Inst Agr & Food Res & Technol, Dept Environm, Lab Ecotoxicol, E-28040 Madrid, Spain
关键词
hazard classification; aquatic environment; chronic classification; labelling; chemicals toxicity distribution;
D O I
10.1016/j.chemosphere.2005.07.060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Presently, in the Globally Harmonised System of Classification and Labelling of Chemicals the classification of substances for long-term effects to aquatic life is based on acute toxicity in combination with degradation and/or bioaccumulation potential. Recently an OECD Working Group was created to develop the classification scheme to accommodate chronic toxicity data related to aquatic organisms for assigning a chronic hazard category. This study focuses on a new approach for setting chronic toxicity cut-off values based on Chemicals Toxicity Distributions (CTDs). A CTD is obtained through statistical fitting of the data used by regulatory bodies for setting hazard-based classifications. The CTDs were made using the lowest aquatic NOEC value of each chemical. A review of different toxicological sources reporting acute aquatic toxicities was carried out. Initially, the data were arranged according to the specific source and distributions for key taxonomic groups (i.e. fishes, crustaceans and algae) were evaluated separately. In most cases, no significant departures from normality were observed. Thereafter, a compiled database containing > 900 values was developed and the CTDs were constructed for each taxonomic group. Significant deviation from normality (P < 0.05) was observed in the fishes and crustaceans' CTDs. However, this deviation was apparently produced by the presence of only seven values with NOECs < 1 x 10(-5) mg l(-1), while high correlation between the data and the normal scores (r-values >= 0.989) indicated that the data were samples from normal distributions. From these observations, potential cut-off values would allow quantitative estimations of the percentage of chemicals falling into each specific category. This approach results in a simple classification hazard scheme where most chemicals are covered in one of the categories, allowing a clear distribution of the chemicals among three categories for chronic toxicity. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:835 / 844
页数:10
相关论文
共 32 条
[1]  
ALLANOU R, 1999, 18996 ECB EUR EN
[2]   Hazard identification by methods of animal-based toxicology [J].
Barlow, SM ;
Greig, JB ;
Bridges, JW ;
Carere, A ;
Carpy, AJM ;
Galli, GL ;
Kleiner, J ;
Knudsen, I ;
Koëter, HBWM ;
Levy, LS ;
Madsen, C ;
Mayer, S ;
Narbonne, JF ;
Pfannkuch, F ;
Prodanchuk, MG ;
Smith, MR ;
Steinberg, P .
FOOD AND CHEMICAL TOXICOLOGY, 2002, 40 (2-3) :145-191
[3]  
BIRX KV, 2001, ENVIRON TOXICOL CHEM, V20, P1846
[4]  
Bland JM, 1996, BRIT MED J, V312, P770
[6]  
DRAPER NR, 1969, J ROY STAT SOC B, V31, P472
[7]  
Duboudin C, 2004, ENVIRON TOXICOL CHEM, V23, P1774, DOI [10.1897/1551-5028(2004)023&lt
[8]  
1774:ASSDE&gt
[9]  
2.0.CO
[10]  
2, 10.1002/etc.5620230723]