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Quantitative Cationic Activity Relationships for Predicting Toxicity of Metal Ions from Physicochemical Properties and Natural Occurrence Levels

机译:从理化性质和自然发生水平预测金属离子毒性的定量阳离子活性关系

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Quantitative Cationic Activity Relationships (QCARs) were developed to predict the toxicity of metal ions from physicochemical properties and natural occurrence levels. In vivo toxicity data for different concentrations of nitrate salts of 17 metal ions were developed based on germination of sunflower seeds (F.I. Helianthus annuus 'Sunspot') in distilled water. The EC_(50) data were reported as the concentration giving 50% inhibition of radicle growth 1 day after emergence. Stepwise regression of the toxicity data produced correlations with some physicochemical properties and natural occurrence levels. For physicochemical properties, good results were obtained with the density of the elements, enthalpy of formation of metal sulphides and the stability constants of metal ions with sulphate (r~2_(adj) =0.72-0.81). For natural occurrence levels, good results were obtained with metal concentrations in soil, the median elemental composition of soils and the calculated mean of the elemental content in land plants (r~2_(adj) =0.69-0.83).
机译:定量阳离子活性关系(QCAR)的开发是根据理化性质和自然发生水平预测金属离子的毒性。根据向日葵种子(F.I. Helianthus annuus'Sunspot')在蒸馏水中的萌发,开发了17种金属离子硝酸盐浓度不同的体内毒性数据。 EC_(50)数据记录为出苗后1天抑制胚根生长50%的浓度。毒性数据的逐步回归产生了与某些理化性质和自然发生水平的相关性。在理化性质上,元素的密度,金属硫化物的形成焓和硫酸根金属离子的稳定性常数(r〜2_(adj)= 0.72-0.81)均获得了良好的结果。对于自然发生水平,在土壤中的金属浓度,土壤中的元素组成中位数和陆地植物中元素含量的计算平均值上均取得了良好的结果(r〜2_(adj)= 0.69-0.83)。

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