This study aims to investigate the optimal conditions for the elimination of albendazole (veterinary drug) by adsorption on activated carbon, prepared from a plant waste (pericarp of cork oak acorns). This low cost adsorbent was characterized by determining the Brunauer–Emmett–Teller surface area, morphology by using scanning electron microscope and surface chemical properties with Fourier transformed infrared spectroscopy. The pH of solution does not highly affect the adsorption of albendazole, a neutral environment (6.0–7.5) was more favorable. Responses surface methodology, namely Doehlert design was applied to model and optimize the adsorption process. The studied parameters are the pollutant concentration, activated carbon dose and temperature. Two responses were considered, albendazole elimination yield and adsorption capacity. The maximum elimination yield and adsorption capacity were 99.97% and 137.2 mg g⁻¹, respectively. Analysis of variances and Mallows statistic criteria were applied to validate both predictive regression models. Multi-objective methodology using desirability approach was utilized to determine the optimal conditions, which are 50 mg L ⁻¹ of pollutant concentration; 1.6 g L ⁻¹ of adsorbent dose and 20 °C of temperature, corresponding to elimination yield of 88.8% and adsorption capacity of 82.0 mg g⁻¹. The albendazole adsorption followed pseudo-second order kinetics. All isotherm models applied, namely, Freundlich, Langmuir, Temkin and Dubinin–Radushkevich fitted the experimental data with regression coefficient exceeding 0.930. The albendazole adsorption on the activated carbon was thermodynamically favorable. The application of Boyd’s model showed that the intraparticle diffusion was not the rate limiting step, and the adsorption process may involve several mechanisms.

这项研究旨在研究通过吸附在活性炭上消除阿苯达唑（兽药）的最佳条件，该活性炭由植物废料（软木橡子橡子的果皮）制得。这种低成本的吸附剂的特征是通过测定Brunauer-Emmett-Teller表面积，通过使用扫描电子显微镜的形态以及通过傅立叶变换红外光谱法的表面化学性质。溶液的pH值对阿苯达唑的吸附影响不大，中性环境（6.0-7.5）更有利。响应面方法，即Doehlert设计应用于建模和优化吸附过程。研究的参数是污染物浓度，活性炭剂量和温度。考虑了两个响应，阿苯达唑消除产率和吸附容量。^-1。应用方差分析和Mallows统计标准来验证两个预测回归模型。利用期望方法的多目标方法确定最佳条件，即污染物浓度为50 mg L ^-1；1.6 g L ^-1的吸附剂剂量和20°C的温度，对应的去除率为88.8％和吸附容量为82.0 mg g ^-1。阿苯达唑的吸附遵循拟二级动力学。应用的所有等温线模型，即Freundlich，Langmuir，Temkin和Dubinin–Radushkevich拟合的实验数据的回归系数均超过0.930。阿苯达唑在活性炭上的吸附在热力学上是有利的。Boyd模型的应用表明，颗粒内扩散不是速率限制步骤，吸附过程可能涉及多种机理。