一锅法一次性合成片状羟基磷灰石及其对废水中铀的去除性能及机理研究
One-pot synthesis of sheet-like hydroxyapatite and its removal performance and mechanism for uranium in wastewater
辛燕 1赵毅 1樊小磊2
作者信息
- 1. 东华理工大学 水资源与环境工程学院,江西 南昌 330013;东华理工大学 核资源与环境国家重点实验室,江西 南昌 330013
- 2. 东华理工大学 水资源与环境工程学院,江西 南昌 330013;东华理工大学 核资源与环境国家重点实验室,江西 南昌 330013;江西省地质局,江西 南昌 330001;核工业华东建设工程集团有限公司,江西 南昌 330000
- 折叠
摘要
水体中存在的铀会损害人体健康,因此铀的去除是一个需要研究的课题.以低成本的CaCO3和(NH4)2 HPO4为原料,通过一锅法一次性合成羟基磷灰石(OP-HAP),并将其应用于去除溶液中的铀.通过单因素和正交试验探究了 OP-HAP对铀的吸附性能,并利用 SEM、EDS、XRD、FTIR及XPS对其进行表征.结果表明:最优条件下,OP-HAP对 10 mg·L-1 铀的最大去除率为 97%左右,拟合最大吸附量为1 584.79 mg·g-1;OP-HAP对铀的吸附过程符合Langmuir等温吸附模型和准二级动力学模型;热力学研究表明吸附过程是吸热且自发的;通过Zeta电位及对吸附铀前后的OP-HAP进行表征,发现吸附机理主要是静电吸附、离子交换、配合作用及溶解沉淀.OP-HAP对铀的吸附表现出较高的吸附量,是一种潜在的铀吸附材料.
Abstract
The removal of uranium from water is a topic that requires research due to its harmful effects on human health.Using low-cost CaCO3 and (NH4) 2HPO4 as raw materials,hydroxyapatite(OP-HAP)was synthesized in a one-pot method and applied for the removal of uranium from solutions.The adsorption performance of OP-HAP on uranium was explored through single-factor and orthogonal experiments,and its characteristics were characterized using SEM,EDS,XRD,FTIR,and XPS.The results showed that under optimal conditions,OP-HAP achieved a maximum removal rate of around 97%for 10 mg·L-1 uranium,with a fitted maximum adsorption capacity of 1 584.79 mg·g-1.The adsorption process of uranium by OP-HAP followed the Langmuir isotherm adsorption model and the pseudo-second-order kinetic model.Thermodynamic studies indicated that the adsorption process was endothermic and spontaneous.Characterization of the Zeta potential and OP-HAP before and after uranium adsorption revealed that the main mechanisms of adsorption were electrostatic adsorption,ion exchange,complexation,and dissolution precipitation.OP-HAP exhibited a high adsorption capacity for uranium and is a potential uranium adsorbent.
关键词
吸附性能/羟基磷灰石/铀废水/吸附机理/循环/处理成本Key words
adsorption performance/hydroxyapatite/uranium wastewater/adsorption mechanism/regeneration/treatment cost引用本文复制引用
基金项目
国家自然科学基金资助项目(41162007)
东华理工大学研究生创新基金(YC2022-s614)
东华理工大学研究生创新基金(YC2020-S503)
出版年
2024
NETL
NSTL
维普
万方数据