State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, People's Republic of China.
Chemosphere. 2012 Oct;89(7):825-31. doi: 10.1016/j.chemosphere.2012.04.064. Epub 2012 Jun 1.
Using 14 parameters featuring soil physicochemical properties and the partial least squares (PLSs) regression method, three quantitative models were respectively developed for the soil-water distribution coefficients (logK(d)) of oxytetracycline (OTC), sulfamethazine (SMZ) and norfloxacin (NOR) in 23 Chinese natural soil samples from cultivated lands in 19 provinces of China. The cross-validated correlation coefficients (Q(cum)(2)) of three models are 0.866, 0.765 and 0.868, and the standard deviations (SDs) are 0.16, 0.21 and 0.15 respectively. The high Q(cum)(2) and low SD values indicate that three models have high robustness and precise predictability. Six parameters including pH, clay content, free Fe oxides (DCB-Fe), free Al oxides (DCB-Al), Ca content and Al content are greatly significant in the OTC model, three ones including pH, clay content and DCB-Fe are greatly significant in the SMZ model, and five ones including pH, clay content, DCB-Fe, Ca content and organic matter (OM) are greatly significant in the NOR model. The high VIP values of pH (1.17-1.24), clay content (0.81-1.10) and DCB-Fe (0.90-0.99) show that the three sorts of soil physicochemical properties play dominant roles in governing the partition balance between soil and water of three antibiotics.
利用包含土壤理化性质的 14 个参数和偏最小二乘回归方法（PLSs），分别为来自中国 19 个省份的 23 个农田自然土壤样本中的土-水分配系数（logK(d)）建立了三种定量模型，用于检测土霉素（OTC）、磺胺甲噁唑（SMZ）和诺氟沙星（NOR）。三个模型的交叉验证相关系数（Q(cum)(2)）分别为 0.866、0.765 和 0.868，标准偏差（SD）分别为 0.16、0.21 和 0.15。高 Q(cum)(2)和低 SD 值表明，三个模型具有高稳健性和精确的可预测性。在 OTC 模型中，pH、粘土含量、游离铁氧化物（DCB-Fe）、游离铝氧化物（DCB-Al）、Ca 含量和 Al 含量等六个参数具有重要意义，SMZ 模型中 pH、粘土含量和 DCB-Fe 等三个参数具有重要意义，NOR 模型中 pH、粘土含量、DCB-Fe、Ca 含量和有机质（OM）等五个参数具有重要意义。pH（1.17-1.24）、粘土含量（0.81-1.10）和 DCB-Fe（0.90-0.99）的高 VIP 值表明，这三种土壤理化性质在控制三种抗生素在土壤-水之间的分配平衡中起着主导作用。
