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将半数致死浓度明确且机械地建模为时间的函数以进行风险评估。

Modeling explicitly and mechanistically median lethal concentration as a function of time for risk assessment.

作者信息

Bonnomet Vincent, Duboudin Cédric, Magaud Hélène, Thybaud Eric, Vindimian Eric, Beauzamy Bernard

机构信息

Société de Calcul Mathématique SA, Paris, France.

出版信息

Environ Toxicol Chem. 2002 Oct;21(10):2252-9.

Abstract

A mechanistic model that explains how toxic effects depend on the duration of exposure has been developed. Derived from the dynamic energy budget (DEB)tox model, it expresses the hazard rate as a function of the toxic concentration in the organism. Using linear approximations in accordance with the general simplifications made in DEBtox, the concentration that induces x% of lethality (LCx) and in particular the lethal concentration 50% (LC50) are expressed explicitly as functions of time. Only three parameters are required: an asymptotic effect concentration, a time constant, and an effect velocity. More sophisticated (but still analytic) models are possible, describing more complex toxicity patterns such as an increase of sensitivity with time or, conversely, an adaptation. These models can be fitted to the common and widespread LC50 endpoints available from the literature for various aquatic species and chemicals. The interpretation of the values assigned to the parameters will help explain the toxicity processes and standardize toxicity values from different sources for comparisons.

摘要

已开发出一种解释毒性效应如何取决于暴露持续时间的机制模型。该模型源自动态能量收支(DEB)毒性模型,它将危害率表示为生物体中毒性浓度的函数。根据DEB毒性模型中的一般简化方法采用线性近似,导致x%致死率的浓度(LCx),特别是50%致死浓度(LC50)被明确表示为时间的函数。只需要三个参数:一个渐近效应浓度、一个时间常数和一个效应速度。更复杂(但仍为解析)的模型也是可能的,可描述更复杂的毒性模式,如敏感性随时间增加或相反的适应性。这些模型可以拟合文献中针对各种水生物种和化学品的常见且广泛可用的LC50终点。对赋予参数的值的解释将有助于解释毒性过程,并使来自不同来源的毒性值标准化以便进行比较。

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