Surface complexation of fluoride at the activated nano-gibbsite water interface

被引:29
作者
Vithanage, Meththika [1 ]
Rajapaksha, Anushka Upamali [1 ]
Bootharaju, M. S. [2 ]
Pradeep, T. [2 ]
机构
[1] Inst Fundamental Studies, Chem & Environm Syst Modeling Res Grp, Kandy 20000, Sri Lanka
[2] Indian Inst Technol, Dept Chem, Unit Nanosci, Madras 600036, Tamil Nadu, India
关键词
Gibbsite nanoparticles; Surface complexation modeling; X-ray photoelectron spectroscopy; Diffuse double layer; DRINKING-WATER; IONIC-STRENGTH; IRON-OXIDE; COMPETITIVE ADSORPTION; GAMMA-ALUMINA; RED EARTH; REMOVAL; PHOSPHATE; SOILS; SORPTION;
D O I
10.1016/j.colsurfa.2014.09.003
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The drawbacks of existing fluoride removal processes are due to low efficiencies and less mechanistic understanding of the process. The acidbase protolysis and surface complexation constants for fluoride and thermally activated nanogibbsite were investigated in this study for the first time. Fluoride adsorption on heat activated gibbsite nanoparticles (HGNP) was determined as a function of pH, concentration of background electrolyte and adsorbate loading. XRD evidenced the HGNP is in a transient state of the formation of chi-alumina as a poorly crystalline solid. An immense increase in surface area was obtained from 50 to 399 m(2)/g by the heat activation. Macroscopic data obtained from the batch experiments suggested an enhanced fluoride removal by HGNP with an adsorption maximum around pH 6. The adsorption quantified by the diffuse double layer surface complexation model indicated an inner sphere complexation mechanism at 0.526 mM of F- with monodentate mononuclear complexes. An increase of fluoride concentration to 1.351 mM demonstrated a multilayer complex formation which was also confirmed by the isotherm data modeling with two distinct sorption maxima. XPS evidenced similar results showing two peaks at 684.7 and 688.5 eV for weak and strong bonded fluoride on HNGP surface. Fluoride adsorption maximum was reported as 4 x 10(-6) mol/m(2) based on Langmuir data fitting. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:124 / 130
页数:7
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