Rodriguez-Cruz Sonia, Andrades Maria S, Sanchez-Camazano Maria, Sanchez-Martin Maria J
Instituto de Recursos Naturales y Agrobiologia, CSIC. Apdo, 257, 37071 Salamanca, Spain.
Environ Sci Technol. 2007 May 15;41(10):3613-9. doi: 10.1021/es062616f.
With the aim to explore the potential use of wood residues in technologies aimed at preventing the pollution of soil and water, we studied the adsorption of four non-ionic pesticides (linuron, alachlor, metalaxyl, and chlorpyrifos) and two ionic pesticides (dicamba and paraquat) with a Kow range of -4.5 to 4.7 by nine types of wood with lignin content in the 18.2-26.9% range. The Freundlich Kf values were considered as indicators of the adsorption capacity. A statistical study was carried out using simple and multiple correlations to establish the degree to which the different parameters of the woods and of the pesticides were involved in adsorption. In the case of the non-ionic pesticides, positive and negative significant correlations were observed between Kf and the lignin (r = 0.73-0.83, p < 0.05-0.01), and soluble C contents of the woods (r = 0.66-0.84), p < 0.1-0.01). For dicamba, a correlation between Kf and pH (r = -0.66, p < 0.1) of the woods was found, while for paraquat, this was seen between Kf and the cation exchange capacity (r = 0.71, p < 0.1) of the woods. No significant correlation was observed between Kf and the total C content of the woods. A highly significant correlation between Kf and Kow values (r > or = 0.93, p < 0.01) was found in the adsorption of the pesticides by the woods (with the exception of paraquat) showing that this parameter is very important in this adsorption process. The determination coefficient of the multiple correlation between Kf and the parameters Kow, soluble C, and lignin contents accounts for nearly 100% of the variability in adsorption for non-ionic pesticides. Based on the results of our study and of those of the literature related to the adsorption of aromatic hydrocarbons, we used the Kow values to define a predictive model of adsorption of hydrophobic organic compounds in general by the woods.
为了探索木材残渣在防止土壤和水污染技术中的潜在用途,我们研究了九种木质素含量在18.2%至26.9%之间的木材对四种非离子型农药(利谷隆、甲草胺、甲霜灵和毒死蜱)和两种离子型农药(麦草畏和百草枯)的吸附情况,这些农药的辛醇-水分配系数(Kow)范围为-4.5至4.7。弗伦德利希Kf值被视为吸附容量的指标。通过简单和多重相关性进行了一项统计研究,以确定木材和农药的不同参数在吸附过程中的参与程度。对于非离子型农药,观察到Kf与木材的木质素(r = 0.73 - 0.83,p < 0.05 - 0.01)以及可溶性碳含量(r = 0.66 - 0.84),p < 0.1 - 0.01之间存在正负显著相关性。对于麦草畏,发现Kf与木材的pH值(r = -0.66,p < 0.1)之间存在相关性,而对于百草枯,Kf与木材的阳离子交换容量(r = 0.71,p < 0.1)之间存在相关性。未观察到Kf与木材的总碳含量之间存在显著相关性。在木材对农药的吸附过程中(百草枯除外),发现Kf与Kow值之间存在高度显著相关性(r ≥ 0.93,p < 0.01),表明该参数在该吸附过程中非常重要。Kf与Kow、可溶性碳和木质素含量参数之间的多重相关性决定系数几乎占非离子型农药吸附变异性的100%。基于我们的研究结果以及与芳烃吸附相关的文献结果,我们使用Kow值定义了木材对一般疏水性有机化合物吸附的预测模型。