González-Doncel Miguel, Ortiz José, Izquierdo Juan J, Martín Bárbara, Sánchez Paloma, Tarazona José V
Laboratory for Ecotoxicology, Department of the Environment, National Institute for Agricultural and Food Research and Technology, A-6, Km 7.5, E-28040 Madrid, Spain.
Chemosphere. 2006 May;63(5):835-44. doi: 10.1016/j.chemosphere.2005.07.060. Epub 2005 Sep 16.
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>or= 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.
目前,在《全球化学品统一分类和标签制度》中,对水生生物长期影响的物质分类是基于急性毒性并结合降解和/或生物累积潜力。最近成立了一个经合组织工作组来制定分类方案,以纳入与水生生物相关的慢性毒性数据,从而确定慢性危害类别。本研究重点关注一种基于化学品毒性分布(CTD)设定慢性毒性临界值的新方法。CTD是通过对监管机构用于基于危害进行分类的数据进行统计拟合而获得的。CTD是利用每种化学品的最低水生无观测效应浓度(NOEC)值生成的。对报告急性水生毒性的不同毒理学来源进行了综述。最初,数据是根据特定来源进行整理的,并分别评估了关键分类群(即鱼类、甲壳类动物和藻类)的分布情况。在大多数情况下,未观察到明显偏离正态分布的情况。此后,建立了一个包含900多个值的综合数据库,并为每个分类群构建了CTD。在鱼类和甲壳类动物的CTD中观察到显著偏离正态分布(P < 0.05)。然而,这种偏离显然是由于仅存在七个NOEC < 1 x 10(-5) mg l(-1) 的值造成的,而数据与正态分数之间的高相关性(r值≥ 0.989)表明这些数据是来自正态分布的样本。基于这些观察结果,潜在的临界值将允许对落入每个特定类别的化学品百分比进行定量估计。这种方法产生了一个简单的分类危害方案,其中大多数化学品被涵盖在其中一个类别中,从而使化学品在慢性毒性的三个类别中能够清晰分布。