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Methodology for predicting OEL from rodent LD50 values for metals and metallic compounds

机译:从啮齿动物的LD50值预测金属和金属化合物的OEL的方法

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摘要

The relationship between the occupational exposure limits (OEL) and the lethal dose 50 (LD50) Values of rats or mice for metals and metallic compounds was statistically analyzed by a stepwise multivariate regression method. The OEL values were predicted from LD50 values and metallic compensation coefficients (MCC), which were developed as the regression coefficients of dummy variables that represented the metallic element contained in the substance of interest. The value of the MCC indicated the extent of the adverse health effects of the metal in the substance. Smaller values of the MCC were assigned to metals that would have the more severe adverse health effects, such as carcinogenesis, while larger values were given to the less toxic metals. The Health Index (HI) based on the OEL values was proposed as a convenient measure of the toxicity of industrial products. The prediction method could be applied to toxicity risk assessments by using the HI when a designer of consumer products wants to use substances for which OEL values have not been determined. Two case studies were conducted to estimate the potential toxicity of materials used in solders and in rechargeable batteries.
机译:通过逐步多元回归方法统计分析大鼠或小鼠的金属和金属化合物的职业暴露极限(OEL)与致死剂量50(LD50)值之间的关系。 OLD值是根据LD50值和金属补偿系数(MCC)预测的,这些系数是作为代表目标物质中所含金属元素的虚拟变量的回归系数而开发的。 MCC值表明物质中金属对健康的不利影响程度。 MCC值较小的金属会对健康产生更严重的不利影响,例如致癌作用,而毒性较小的金属则较大。提出了基于OEL值的健康指数(HI),作为工业产品毒性的便捷度量。当消费产品的设计者想要使用尚未确定OEL值的物质时,可以通过使用HI将预测方法应用于毒性风险评估。进行了两个案例研究,以评估用于焊料和可充电电池的材料的潜在毒性。

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