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

机译:对水生生物的慢性毒性数据的统计评估,用于危险识别:化学品毒性分配方法

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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 bioaccu-mulation 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 toxi-cological 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.
机译:当前,在全球化学品统一分类和标签制度中,对水生生物具有长期影响的物质的分类是基于急性毒性以及降解和/或生物蓄积性的。最近,经合组织成立了一个工作组来制定分类方案,以容纳与水生生物有关的慢性毒性数据,从而确定一种慢性危害类别。这项研究的重点是基于化学物质毒性分布(CTD)设置慢性毒性临界值的新方法。通过对监管机构用于设置基于危害的分类的数据进行统计拟合,可以获得CTD。使用每种化学品的最低水生NOEC值制作CTD。对报告急性水生毒性的不同毒理学来源进行了审查。最初,根据具体来源整理数据,并分别评估关键生物分类群(即鱼类,甲壳类和藻类)的分布。在大多数情况下,未观察到与正常情况有明显差异。此后,开发了包含> 900个值的已编译数据库,并为每个分类组构建了CTD。在鱼类和甲壳类动物的CTD中观察到明显偏离正常(P <0.05)。但是,这种偏差显然是由于仅存在7个NOECs <1 x 10〜(-5)mg l〜(-1)值而引起的,而数据与正常评分之间的相关性很高(r值≥0.989)。表明数据是来自正态分布的样本。从这些观察中,潜在的临界值将允许对落入每个特定类别的化学物质的百分比进行定量估计。这种方法产生了一种简单的分类危害方案,其中大多数化学物质都属于其中一种类别,从而可以将化学物质清楚地分布在三类慢性毒性中。

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