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- W2901998230 abstract "Abstract The designing of selective and efficient adsorbent for removal of heavy metals from wastewater of diverse chemistry is a challenging task for researchers. Herein, FeMgAl derived from layered double hydroxides (LDH) with different intercalated anions (CO32−, NO3−, S52− and MoS42−) as selective adsorbents were evaluated by considering capturing heavy metals from a complex aqueous environment such as: 1) adsorption of single metals ions from a mixture of Ag+, Hg2+, Pb2+, Cu2+, Cd2+, Co2+, Ni2+, Zn2+, 2) adsorption of heavy metals in the presence of huge amount of Ca2+, Mg+, Na+, Cl−, NO3− and SO42− ions, 3) adsorption under different solution pHs, 4) solutions with high salinity etc. Out of the studied materials, fast kinetics, record capacities (582 for Hg2+ and 565 mg/g for Ag+) with enormous Kd values (1.0 × 108–2.5 × 107) placed FeMgAl MoS4 (Fe MoS4 LDH) as the most selective and promising material. FeMgAl S5 (Fe S5 LDH) was also impressive due to its good capacities (279 mg/g for Hg2+ and 341 mg/g for Ag+ ions) with Kd values (8.3 × 105–1.0 × 103). In contrast, FeMgAl CO3 and FeMgAl NO3 (Fe CO3 LDH and Fe NO3 LDH) showed very poor selectivity, lower capacities and very small Kd values. Furthermore, Fe MoS4 LDH and Fe S5 demonstrated negligible efficiency loss in the presence of competitive cations/anions or with change in solution pH. As confirmed by X-ray Diffraction (XRD) and Fourier Transformed Infrared (FTIR) analysis, a mechanism for adsorbed metals in the form of various coordinated complexes inside LDH layers was proposed for Fe MoS4 or Fe S5 LDHs. In contrast, a dominant precipitation mechanism as metal-hydroxide or metal-carbonate was suggested for Fe CO3 and Fe NO3 LDHs." @default.
- W2901998230 created "2018-12-11" @default.
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- W2901998230 date "2019-02-01" @default.
- W2901998230 modified "2023-09-30" @default.
- W2901998230 title "Selective removal of heavy metals by hydrotalcites as adsorbents in diverse wastewater: Different intercalated anions with different mechanisms" @default.
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- W2901998230 doi "https://doi.org/10.1016/j.jclepro.2018.11.234" @default.
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