Impact of activator type on the immobilisation of lead in fly ash-based geopolymer SCIE SCOPUS

Cited 41 time in WEB OF SCIENCE Cited 47 time in Scopus
Title
Impact of activator type on the immobilisation of lead in fly ash-based geopolymer
Author(s)
Lee, S.; van Riessen, A.; Chon, C.-M.; Kang, N.-H.; Jou, H.-T.; Kim, Y.-J.
KIOST Author(s)
Jou, Hyeong Tae(주형태)
Publication Year
2016-03
Abstract
Immobilisation of heavy metals in geopolymers has attracted attention as a potential means of treating toxic wastes. Lead is known to be effectively immobilised in a geopolymer matrix, but detailed explanation for the mechanisms involved and the specific chemical form of lead are not fully understood. To reveal the effect of the activator types on the immobilisation of lead in geopolymers, 0.5 and 1.0. wt% lead in the form of lead nitrate was mixed with fly ash and alkaline activators. Different alkaline activators (either combined sodium hydroxide and sodium silicate or sodium aluminate) were used to achieve the target Si:Al ratios 2.0 and 5.0 in geopolymers. Zeolite was formed in aluminate-activated geopolymers having a Si:Al ratio of 2.0, but the zeolite crystallization was suppressed as lead content increased. No specific crystalline phase of lead was detected by X-ray diffraction, electron diffraction or FT-IR spectrometry. In fact, double Cs corrected TEM analysis revealed that lead was evenly distributed with no evidence of formation of a specific lead compound. A sequential extraction procedure for fractionation of lead showed that lead did not exist as an exchangeable ion in geopolymers, regardless of activator type used. Aluminate activation is shown to be superior in the immobilisation of lead because about 99% of extracted lead existed in the oxidizing and residual fractions. © 2015 Elsevier B.V.
ISSN
0304-3894
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2078
DOI
10.1016/j.jhazmat.2015.11.023
Bibliographic Citation
Journal of Hazardous Materials, v.305, pp.59 - 66, 2016
Publisher
Elsevier
Keywords
Activator type; Geopolymer; Immobilization; Lead
Type
Article
Language
English
Document Type
Article
Publisher
Elsevier
Related Researcher
Research Interests

Machine Learning,Marine Active Fault Study,Exploration Seismology,기계학습,해저단층연구,탄성파탐사

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