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Optimization of adsorption conditions for Acid Chrome Blue K removal from aqueous solution using sugar-based activated carbon: Equilibrium isotherms and kinetics modeling 利用糖基活性炭从水溶液中去除酸性铬蓝 K 的吸附条件优化:平衡等温线和动力学建模
Pub Date : 2024-01-17 DOI: 10.1016/j.scowo.2024.100001
Zaharaddeen N. Garba, Madina Imam, Haruna Adamu, Edith B. Agbaji

In this study, white sugar was dehydrated and then activated, producing extremely porous carbon as a result. The activated sugar-based carbon (ASC) was prepared by first dehydrating white sugar to produce dehydrated sugar carbon (DSC) which was then chemically activated in a nitrogen atmosphere using NaOH as activating agent. With the aid of central composite design (CCD), a component of response surface methodology (RSM), the ideal circumstances for the removal of Acid Chrome Blue K (ACBK) dye onto the ASC adsorbent from aqueous solution were investigated. Adsorbent dosage of 0.60 g, initial concentration of 79 mg/L and shaking speed of 258 rpm were the ideal adsorption conditions attained. The obtained experimental and predicted values were 94.89% and 94.22%, respectively, demonstrating good agreement between the experimental and predicted values from the model with only a modest error of 0.71. The linearized Langmuir equations in five different versions, as well as the Freundlich and Temkin adsorption isotherms, were used to simulate the adsorption data. Chi square (χ2) and the correlation coefficient (R2) were taken into consideration while assessing the validity of each isotherm model to support the selection of the best adsorption model. The equilibrium adsorption data were best represented by the order Langmuir-2 > Freundlich > Temkin isotherms. The outcomes showed that the best model for describing the kinetics data was pseudo-second-order.

在这项研究中,白糖经过脱水和活化处理后,产生了孔隙率极高的碳。制备活性糖基碳(ASC)的方法是先将白糖脱水,生成脱水糖基碳(DSC),然后在氮气环境中使用 NaOH 作为活化剂对其进行化学活化。借助响应面方法(RSM)的一个组成部分--中心复合设计(CCD),研究了 ASC 吸附剂从水溶液中去除酸性铬蓝 K(ACBK)染料的理想情况。吸附剂用量为 0.60 克,初始浓度为 79 毫克/升,振荡速度为 258 转/分钟,这些都是理想的吸附条件。得出的实验值和预测值分别为 94.89% 和 94.22%,表明实验值和模型预测值的一致性很好,误差仅为 0.71。模拟吸附数据时使用了五种不同版本的线性化 Langmuir 方程以及 Freundlich 和 Temkin 吸附等温线。在评估每种等温线模型的有效性时,都考虑了卡方(χ2)和相关系数(R2),以支持选择最佳吸附模型。平衡吸附数据以 Langmuir-2 > Freundlich > Temkin 等温线顺序表示得最好。结果表明,描述动力学数据的最佳模型是伪二阶模型。
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Sustainable Chemistry One World
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