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采用响应面法优化天然羟基磷灰石/膨润土复合材料去除水溶液中 Cd(II)。

Optimization of Cd (II) removal from aqueous solution by natural hydroxyapatite/bentonite composite using response surface methodology.

机构信息

Department of Mechanical Engineering, School of Mechanical and Chemical Engineering, Woldia Institute of Technology, Woldia University, Woldia, Ethiopia.

Faculty of Materials Science and Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.

出版信息

Sci Rep. 2023 Mar 29;13(1):5158. doi: 10.1038/s41598-023-32413-x.

Abstract

Toxic cadmium (Cd) was removed from water using eggshell-based hydroxyapatite (HAp) grafted bentonite (HAp/bentonite) composite through a straightforward chemical synthesis route. The as-prepared adsorbents were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and Brunauer-Emmett-Teller analysis (BET). Optimization of the initial adsorbate concentration, adsorbent dosage, pH, and contact time-all of which affect the adsorption process-was performed using the central composite design (CCD) of the response surface methodology (RSM). 99.3 percent adsorptive removal efficiency was observed at an initial concentration of 61.58 mg/L of Cd (II), with an adsorbent dosage of 1.58 g, a solution pH of 5.88, and a contact time of 49.63 min. The analysis of variance (ANOVA) was performed, and the multiple correlation coefficient (R) was found to be 0.9915 which confirms the significance of the predicted model. The Langmuir isotherm model best represented the adsorption isotherm data, which also predicted a maximum sorption capacity of 125.47 mg/g. The kinetic data were best described by the pseudo-second order model.

摘要

采用简单的化学合成路线,利用蛋壳基羟基磷灰石(HAp)接枝膨润土(HAp/bentonite)复合材料从水中去除有毒的镉(Cd)。通过 X 射线衍射(XRD)、扫描电子显微镜(SEM)、傅里叶变换红外光谱(FTIR)和 Brunauer-Emmett-Teller 分析(BET)对制备的吸附剂进行了表征。采用响应面法(RSM)的中心复合设计(CCD)对初始吸附物浓度、吸附剂用量、pH 值和接触时间等影响吸附过程的因素进行了优化。在 Cd(II)初始浓度为 61.58 mg/L、吸附剂用量为 1.58 g、溶液 pH 值为 5.88 和接触时间为 49.63 min 的条件下,观察到 99.3%的吸附去除效率。进行了方差分析(ANOVA),并发现多元相关系数(R)为 0.9915,这证实了预测模型的重要性。Langmuir 等温吸附模型最好地描述了吸附等温线数据,该模型还预测了最大吸附容量为 125.47 mg/g。准二级动力学模型最好地描述了动力学数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36e9/10060410/64790455e70f/41598_2023_32413_Fig1_HTML.jpg

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