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首页> 外文期刊>Environmental toxicology and chemistry >ESTIMATION OF SOIL SORPTION COEFFICIENTS OF VETERINARY PHARMACEUTICALS FROM SOIL PROPERTIES
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ESTIMATION OF SOIL SORPTION COEFFICIENTS OF VETERINARY PHARMACEUTICALS FROM SOIL PROPERTIES

机译：从土壤性质估算兽药的土壤吸收系数

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Environmental exposure assessment of veterinary Pharmaceuticals requires estimating the sorption to soil. Soil sorption coefficients of three common, ionizable, antimicrobial agents (oxytetracycline [OTC], tylosin [TYL], and sulfachloropyridazine [SCP]) were studied in relation to the soil properties of 11 different soils. The soil sorption coefficient at natural pH varied from 950 to 7,200, 10 to 370, and 0.4 to 35 L/kg for OTC, TYL, and SCP, respectively. The variation increased by almost two orders of magnitude for OTC and TYL when pH was artificially adjusted. Separate soil properties (pH, organic carbon content, clay content, cation-exchange capacity, aluminum oxyhydroxide content, and iron oxyhydroxide content) were not able to explain more than half the variation observed in soil sorption coefficients. This reflects the complexity of the sorbent-sorbate interactions. Partial-least-squares (PLS) models, integrating all the soil properties listed above, were able to explain as much as 78% of the variation in sorption coefficients. The PLS model was able to predict the sorption coefficient with an accuracy of a factor of six. Considering the pH-dependent speciation, species-specific PLS models were developed. These models were able to predict species-specific sorption coefficients with an accuracy of a factor of three to four. However, the species-specific sorption models did not improve the estimation of sorption coefficients of species mixtures, because these models were developed with a reduced data set at standardized aqueous concentrations. In conclusion, pragmatic approaches like PLS modeling might be suitable to estimate soil sorption for risk assessment purposes.
机译：兽药的环境暴露评估需要估计对土壤的吸附。研究了三种常见的可离子化抗菌剂（土霉素，OTYL，泰乐菌素和磺胺氯哒嗪[SCP]）的土壤吸附系数，它们与11种不同土壤的土壤特性相关。对于OTC，TYL和SCP，在自然pH下土壤吸附系数分别为950至7,200、10至370和0.4至35 L / kg。当人为调节pH值时，OTC和TYL的变化几乎增加了两个数量级。单独的土壤特性（pH，有机碳含量，粘土含量，阳离子交换能力，氢氧化铝含量和氢氧化铁含量）不能解释土壤吸附系数变化的一半以上。这反映了吸附剂-吸附剂相互作用的复杂性。结合了上面列出的所有土壤特性的偏最小二乘（PLS）模型能够解释多达78％的吸附系数变化。 PLS模型能够以六倍的精度预测吸附系数。考虑到pH依赖的物种，开发了特定物种的PLS模型。这些模型能够以三到四倍的精度预测特定物种的吸附系数。但是，特定于物种的吸附模型不能改善对物种混合物吸附系数的估计，因为这些模型是在标准水浓度下使用减少的数据集开发的。总而言之，务实的方法（例如PLS建模）可能适用于评估土壤吸附，以进行风险评估。

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