Application of fly ash-based geopolymer for removal of cesium, strontium and arsenate from aqueous solutions: Kinetic, equilibrium and mechanism analysis

Quanzhi Tian, Keiko Sasaki

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Geopolymerization is a developing reaction process for the utilization of solid wastes. In the present study, fly ash-based geopolymer and its derivative (Fe(II)-modified geopolymer) were synthesized and characterized using XRD, SEM, FTIR, BET, UV-Vis DRS as well as TG-DTA, and adopted as adsorbents for removal of Csþ and Sr, and AsO3 4 from solutions. Each sorption kinetic was well fitted to the pseudo-second-order model. The sorption of Csþ and Sr onto original geopolymer were better fitted to the Langmuir model. However, the Freundlich model is more befitting for sorption of AsO3 4 onto Fe(II)-modified geopolymer. The free energies calculated from the D-R isotherm indicated that the sorption for Csþ and Sr were dominantly ion exchanges. Ring size plays a decisive role in ion exchanges for both Csþ and Sr. Furthermore, the arrangement of SiO4 and AlO4 tetrahedrons has significant impacts on the ion exchange of Sr. XPS results indicated that a part of Fe in Fe (II)-modified geopolymer had been oxidized to Fe after sorption. Precipitation of FeAsO4 could partially contribute to the arsenate removal from solution. AsO3 4 sorption has also occurred through the formation of inner-sphere complexes via ion exchange reaction, which could be predominantly attached by bidentate linkages.

Original languageEnglish
Pages (from-to)2116-2125
Number of pages10
JournalWater Science and Technology
Volume79
Issue number11
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Application of fly ash-based geopolymer for removal of cesium, strontium and arsenate from aqueous solutions: Kinetic, equilibrium and mechanism analysis'. Together they form a unique fingerprint.

Cite this