Metals removal from aqueous solutions by tailored porous waste-based granulated alkali-activated materials
authors Bumanis, G; Novais, RM; Carvalheiras, J; Bajare, D; Labrincha, JA
nationality International
journal APPLIED CLAY SCIENCE
author keywords Waste metakaolin; Alkali-activated materials; Adsorption; Precipitation; Heavy metal
keywords INORGANIC POLYMER SPHERES; FLY-ASH; HEAVY-METALS; GEOPOLYMER SPHERES; ADSORPTION; WATER; ZINC; LEAD; METAKAOLIN; IMMOBILIZATION
abstract In this study, and for the first time, the possibility of using bulk type waste-based granulated alkali-activated materials (AAM) for inducing heavy metals extraction by precipitation and adsorption was evaluated. Waste metakaolin and aluminium scrap recycling waste proved to be suitable precursors to create AAM. Results indicate that both methods are highly effective and promising for heavy metals extraction, removal efficiencies up to 100% were achieved. Lead was more efficiently removed by adsorption (99.4%; 16.5 mg/g), while higher zinc removal was achieved by precipitation (100%; 20.4 mg/g). These innovative waste-based alkali-activated granules, produced following a simple, sustainable and low-cost technique, are highly effective in the removal of lead and zinc from wastewaters, being a safer alternative to the use of powdered precipitation/adsorbent materials and can be directly used in packed beds. Future work will address the reuse of these granules, after their exhaustion as adsorbents, as aggregates in the production of new building materials, further closing the materials loop and enhancing the circularity of this material.
publisher ELSEVIER
issn 0169-1317
year published 2019
volume 179
digital object identifier (doi) 10.1016/j.clay.2019.105147
web of science category Chemistry, Physical; Materials Science, Multidisciplinary; Mineralogy
subject category Chemistry; Materials Science; Mineralogy
unique article identifier WOS:000479025400002
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journal analysis (jcr 2017):
journal impact factor 3.641
5 year journal impact factor 3.616
category normalized journal impact factor percentile 75.255
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