摘要
使用共沉淀法,在不同pH、Ca/P摩尔比、陈化时间条件下制备羟基磷灰石(HAP),并根据其对Mn^(2+)的吸附性能获得制备HAP的优化条件。在此基础上,通过静态试验,研究了优化制备的HAP在溶液pH、投加量、反应时间以及Mn^(2+)初始浓度的影响下对Mn^(2+)的吸附性能,并结合吸附动力学模型和吸附等温模型分析其吸附机理。结果表明,HAP的最佳制备条件为pH=10、摩尔比Ca/P=1.67、陈化时间24 h。当锰初始浓度5 mg/L、pH=7、HAP投加量1 g/L、反应时间360 min时,HAP对Mn^(2+)的吸附效果最好,其吸附量与去除率分别为4.97 mg/g和98.4%。HAP对Mn^(2+)的吸附更符合Freundlich等温线模型和准二级动力学模型,为多层化学吸附。
Hydroxyapatite(HAP)was prepared by coprecipitation method under different pH values,Ca P molar ratio and aging time,and the optimum conditions for preparing HAP were obtained according to its adsorption properties for Mn^(2+).On this basis,the adsorption properties of HAP prepared at the optimum conditions on Mn^(2+)under the influence of solution pH value,HAP dosage,reaction time and initial concentration of Mn^(2+)were studied by static tests.The adsorption mechanism was analyzed by combining adsorption kinetics model and adsorption isothermal model.The results show that the optimum preparation conditions of HAP include pH=10,molar ratio Ca P=1.67 and aging time of 24 h.When initial concentration of Mn^(2+)is 5 mg L,pH value is 7,HAP dosage is 1 g L,and reaction time is 360 min,HAP has the best adsorption effect on Mn^(2+),and its adsorption capacity and removal rate are 4.97 mg g and 98.4%respectively.The adsorption of Mn^(2+)by HAP is more consistent with the Freundlich isotherm model and the quasi-second-order kinetic model,which the adsorption process is a multilayer chemisorption.
作者
聂家璇
张卫民
卢琪愿
彭惠靖
NIE Jiaxuan;ZHANG Weimin;LU Qiyuan;PENG Huijing(State Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang 330013,China;School of Water Resources and Environmental Engineering,East China University of Technology,Nanchang 330013,China;Key Laboratory of Environmental Monitoring and Management of Mines in Poyang Lake Region,Ministry of Natural Resources,East China University of Technology,Nanchang 330013,China)
出处
《有色金属（冶炼部分）》
CAS
北大核心
2024年第4期139-146,共8页
Nonferrous Metals（Extractive Metallurgy)
基金
江西省自然科学基金资助项目(20202BABL204069)
核资源与环境国家重点试验室自主基金项目(2020Z06)。
