This paper describes an efficient and low cost material for treatment of Cu²⁺, Pb²⁺ and malachite green from aquatic environments. Aerated Autoclave Concrete (AAC) was used as a low cost bed and modified by chitosan to synthesize of AACCH composite. Then, it was analyzed by the Energy Dispersive X-ray spectroscopy (EDX), X-Ray Fluorescence (XRF), Field Emission Scanning Electron Microscopy (FE-SEM) and Fourier Transform Infrared spectrophotometry (FT-IR) analysis. The key factors influencing on the removal percentage among each run including, sample's pH, amounts of adsorbent and contact time were optimized by the Central Composite Design in Response Surface Methodology (CCD-RSM). Based on the obtained results, the optimum conditions for the removal of both Cu²⁺ and Pb²⁺ are pH 5.8, amounts of adsorbent: 14 mg and 58 min contact time. Also, for MG, its maximum removal percentage obtained at pH 9.7, 13 mg adsorbent and 55 min removal time. In addition, the variations of adsorptive behaviors were scrutinized by Adaptive Network-based Fuzzy Inference System (ANFIS) based on Sugeno model with focusing on removal percentage predictions. Also, to evaluate the adsorption mechanism, Dubinin–Radushkevich (D-R), Langmuir, Temkin, Freundlich (two parameter equations) and Sips, Khan and Toth isotherms (Three parameter equations) were appraised and the outcomes demonstrate that the adsorptive reaction of Pb²⁺, Cu²⁺ and MG governed by the Freundlich isotherm with the maximum adsorption capacities of 78.12, 56.82 and 833.33 mg g⁻¹, correspondingly. Likewise, outputs of the D-R and Temkin isotherms show that the physiosorption process is the main interaction of analytes with AACCH composite. The consequences of the kinetic modeling illustrated that the adsorptive reaction of Cu²⁺, Pb²⁺ and MG followed by the pseudo second order adsorption kinetic. The geometry kinetic computing depicted that the adsorption/desorption rates don't have any interfering during reaction process. The advantages such as high efficiency, low cost, reusability and green aspect, make AACCH composite as a high performance adsorbent for decontamination of Pb²⁺, Cu²⁺ and MG from water resources.

本文介绍了一种高效低成本的材料，用于处理水生环境中的Cu 2 ⁺，Pb ²⁺和孔雀石绿。加气高压釜混凝土（AAC）用作低成本床，并经壳聚糖改性以合成AAC CH复合材料。然后，通过能量色散X射线光谱（EDX），X射线荧光（XRF），场发射扫描电子显微镜（FE-SEM）和傅立叶变换红外分光光度法（FT-IR）分析进行了分析。通过响应表面方法中的中央复合设计（CCD-RSM）优化了影响每次运行中去除百分率的关键因素，包括样品的pH值，吸附剂的量和接触时间。根据获得的结果，去除两种铜的最佳条件²⁺和Pb ²⁺的pH值为5.8，吸附剂的量为：14 mg，接触时间为58分钟。同样，对于MG，在pH 9.7、13 mg吸附剂和55分钟的去除时间下可获得最大去除率。此外，通过基于Sugeno模型的自适应网络模糊推理系统（ANFIS）仔细研究了吸附行为的变化，重点是去除百分比的预测。另外，为评估吸附机理，对Dubinin–Radushkevich（DR），Langmuir，Temkin，Freundlich（两个参数方程）和Sips，Khan和Toth等温线（三个参数方程）进行了评估，结果表明Pb ²的吸附反应⁺，铜²⁺MG受Freundlich等温线控制，最大吸附容量分别为78.12、56.82和833.33 mg g ^-1。同样，DR和Temkin等温线的输出表明，物理吸附过程是分析物与AAC CH复合材料的主要相互作用。动力学建模的结果表明，Cu 2 ⁺，Pb ²⁺和MG的吸附反应随后为假二级吸附动力学。几何动力学计算表明，吸附/解吸速率在反应过程中没有任何干扰。高效，低成本，可重复使用和绿色环保等优点使AAC CH复合材料成为用于Pb ²⁺净化的高性能吸附剂，Cu ²⁺和MG来自水资源。