Department of Environmental Science, The University of Burdwan, Burdwan, West Bengal, India.
J Environ Sci Health B. 2013;48(8):626-36. doi: 10.1080/03601234.2013.777283.
This study was undertaken to investigate the adsorption capacity of carbaryl on four Indian soils with different physiochemical properties. A batch adsorption study was carried out in order to evaluate the maximum adsorption capacity of carbaryl using a Response Surface Methodology (RSM). The effects of operating parameter such as initial carbaryl concentration (1-20 mgL⁻¹), adsorbent dosage (0.5-6 g) and contact time (10-180 min) were examined. The proposed quadratic model for Box-Behnken design fits very well to the experimental data because it may be used to navigate design space according to ANOVA results. The regression co-efficient (R²) of the models developed and the results of validation experiments conducted at optimal conditions strongly suggests that the predicted values are in good agreement with experimental results. Contour and response surface plots are used to determine the interactions effects of main factors and optimal conditions of the process. The experiment can be utilized as a guideline for better understanding of carbaryl adsorption onto soil under different operating conditions. The results show that the forest soil is most efficient in binding carbaryl (Sevin) than the other types of soil tested.
本研究旨在研究四种具有不同物理化学性质的印度土壤对carbaryl 的吸附能力。采用响应面法（RSM）进行批吸附研究，以评估 carbaryl 的最大吸附能力。考察了初始 carbaryl 浓度（1-20mgL⁻¹）、吸附剂用量（0.5-6g）和接触时间（10-180min）等操作参数的影响。Box-Behnken 设计的二次模型拟合实验数据非常好，因为它可以根据 ANOVA 结果来导航设计空间。所开发模型的回归系数（R²）和在最佳条件下进行的验证实验结果强烈表明，预测值与实验结果吻合良好。轮廓和响应面图用于确定主要因素的相互作用效应和过程的最佳条件。该实验可作为在不同操作条件下更好地理解 carbaryl 在土壤上吸附的指南。结果表明，与所测试的其他类型土壤相比，森林土壤对 carbaryl（西维因）的结合能力最强。
