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. 2022 Aug 2;15(15):5315.
doi: 10.3390/ma15155315.

Adsorption of Heavy Metals Ions from Mining Metallurgical Tailings Leachate Using a Shell-Based Adsorbent: Characterization, Kinetics and Isotherm Studies

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Adsorption of Heavy Metals Ions from Mining Metallurgical Tailings Leachate Using a Shell-Based Adsorbent: Characterization, Kinetics and Isotherm Studies

Begoña Fernández Pérez et al. Materials (Basel). .

Abstract

This study defines the optimal parameters that allow the use of waste mollusk shells (WS) to remove heavy metals from three mining and metallurgical leachates. First, the influence of parameters such as pH, contact time, initial metal concentration, adsorbent dose and the presence of co-ions in Cu2+, Cd2+, Zn2+ and Ni2+ adsorption was investigated in synthetic solutions. Metal uptake was found to be dependent on the initial pH of the solution, the removal rate increasing with the increase in pH, showing the highest affinity at pH 5-6. The removal efficiency at lower concentrations was greater than at higher values. The competitive adsorption results on bimetallic solutions showed that the adsorption capacity of the sorbent was restricted by the presence of other ions and suppressed the uptake of heavy metals compared to the single adsorption. Cu2+ was the metal that most inhibited the removal of Cd2+, Zn2+ and Ni2+. The Langmuir isotherm provided the best fit to the experimental data for Cu2+, Cd2+ and Zn2+ and the Freundlich isotherm, for Ni2+. The data showed that the maximum adsorption capacity amax for Zn2+, Cd2+ and Cu2+, was 526.32 mg g-1, 555.56 mg g-1 and 769.23 mg g-1, respectively. Sorption kinetics data best fit the pseudo-second-order kinetic model. The results obtained in the tests with three mining and metallurgical leachates showed that WS were effective in simultaneously removing several heavy metals ions such as Cu, Ni, Zn, Cd, Ni, As and Se.

Keywords: adsorption; heavy metal; landfill leachate; mollusks’ shell; wastewater treatment.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Thermogravimetric analysis of WS.
Figure 2
Figure 2
XRD diffractogram of WS: A—aragonite and C—calcite.
Figure 3
Figure 3
Scanning electron micrograph and EDAX spectrum of WS.
Figure 4
Figure 4
Metals removal onto WS versus initial pH at different adsorbent concentration: 0.4 g L−1, 4 g L−1 and 10 g L−1. (a) % Ni removal; (b) % Zn removal; (c) % Cd removal; (d) % Cu removal.
Figure 5
Figure 5
Metals removal onto WS versus time at different adsorbent concentration: 0.4 g L−1, 2 g L−1, 4 g L−1 and 10 g L−1. (a) % metal removal at 0.4 g L−1; (b) % metal removal at 2g L−1; (c) % metal removal at 4g L−1; (d) % metal removal at 10 g L−1.
Figure 6
Figure 6
Metals removal onto WS versus initial concentration at different adsorbent concentration: 0.4 g L−1, 2 g L−1, 4 g L−1 and 10 g L−1. (a) % Ni removal; (b) % Zn removal; (c) % Cd removal; (d) % Cu removal.
Figure 7
Figure 7
Scanning electron micrograph and EDX analysis of WS after the treatment of the leachate using an adsorbent concentration of 0.4 g L−1.
Figure 8
Figure 8
X-ray diffraction patterns of WS after treatment. O—otavite, P—posnjakite, M—malachite, H—hydrozincite, X—Ni5(CO3)4(OH)2·4.5H2O, Y—Ni3(CO3)(OH)4·4H2O, A—aragonite and C—calcite.

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