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首页> 外文期刊>Journal of environmental science and health >Rice and wheat straw ashes: Characterization and modeling of pretilachlor sorption kinetics and adsorption isotherm
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Rice and wheat straw ashes: Characterization and modeling of pretilachlor sorption kinetics and adsorption isotherm

机译：稻草和小麦秸秆灰：丙草胺吸附动力学和吸附等温线的表征和建模

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摘要

The rice straw ash (RSA) and wheat straw ash (WSA) were explored as low cost adsorbent for pretilachlor removal from water. The ashes were characterized and sorption behavior of pretilachlor was evaluated. Kinetics study suggested that the modified Elovich model best explained the pretilachlor sorption on both the ashes. The adsorption data were analyzed using 2-, 3- and 4-parameter models and nine error functions were used to compute the best fit isotherm by nonlinear regression analysis. The pretilachlor was more sorbed onto the RSA (22.0-92.2%) than the WSA (11.4-61.4%) and percent adsorption decreased with increase in the herbicide concentration in solution. Isotherm model optimization analysis suggested that the Freundlich and the Temkin isotherms were the best models to predict the pretilachlor adsorption onto the RSA and the WSA. The error analysis suggested that the reciprocal of the observed squared (ROS) and the reciprocal of the predicted squared (RPS) error functions provided the best determination of the adsorption constants for the Freundlich and the Temkin isotherms, respectively. The RSA, which exhibited higher pretilachlor sorption potential, can be utilized as low cost adsorbent for pesticide removal from contaminated water.
机译：稻草灰（RSA）和麦草灰（WSA）被用作低成本吸附剂，用于从水中去除丙草胺。对灰分进行了表征，并评估了丙草胺的吸附行为。动力学研究表明，改良的Elovich模型可以最好地解释两种灰烬上丙草胺的吸附。使用2、3和4参数模型分析吸附数据，并使用9个误差函数通过非线性回归分析计算最佳拟合等温线。丙草胺比WSA（11.4-61.4％）更易吸附到RSA（22.0-92.2％）上，并且吸附百分比随溶液中除草剂浓度的增加而降低。等温线模型优化分析表明，Freundlich和Temkin等温线是预测丙草胺在RSA和WSA上吸附的最佳模型。误差分析表明，观测平方（ROS）的倒数和预测平方（RPS）误差函数的倒数分别提供了最佳的Freundlich和Temkin等温线吸附常数的确定。具有较高的丙草胺吸附潜力的RSA可作为低成本吸附剂用于从污水中去除农药。

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