Mostafa Azizi

Sustainable remediation requires effective contaminant removal while limiting unnecessary treatment intensity and adverse changes in the treated soil. This study evaluated deep eutectic solvent (DES)-based soil washing by combining process optimization with post-treatment assessment. Three choline chloride-based DES systems containing citric, salicylic or boric acid were screened at different molar ratios and concentrations, followed by kinetic evaluation of the selected formulation and comparison with 0.005 M Na₂EDTA. Choline chloride–citric acid (ChCl–CA; 1:1, 50% v/v) showed the highest overall DES performance. After 180 min, removal efficiencies reached 64.5% for Cu, 54.5% for Pb and 68.7% for Zn, corresponding to approximately 94%, 88% and 90%, respectively, of the removal achieved after 2880 min. Extending treatment sixteen-fold beyond 180 min increased removal by only 4.3, 7.8 and 7.6 percentage points for Cu, Pb and Zn, respectively. EDTA achieved higher removal of all three metals and stronger depletion of the dominant F1 and F2 fractions. However, ChCl–CA caused smaller changes in the measured soil properties: pH decreased from 6.6 to 5.8 after ChCl–CA and to 5.4 after EDTA, while organic matter decreased by 8.2% and 20.3%, respectively. Electrical conductivity decreased by 10.8% after ChCl–CA and by 18.9% after EDTA, whereas particle-size composition remained statistically unchanged after both treatments. The results demonstrate the value of combining process optimization, contaminant removal, residual metal fractionation and post-treatment soil condition when evaluating soil washing in the context of sustainable remediation.

In this work, the biosorption potential of Spirulina sp. as an effective and eco-friendly biosorbent for the removal of Ni(II) and Pb(II) ions from aqueous solutions was investigated. Detailed characterization of the biosorbent was carried out, including surface morphology, chemical composition, particle size, zeta potential, crystallinity, zero-point charge, and functional group analysis. Batch tests were performed to determine the kinetic constants and adsorption equilibrium of the studied ions. The adsorption behavior of Spirulina sp. was described using six adsorption isotherms. The best fit was obtained for the Redlich-Peterson and Langmuir isotherms, indicating that monolayer adsorption occurred. The maximum biosorption capacities for Ni(II) and Pb(II) were 20.8 mg·g⁻¹ and 93.5 mg·g⁻¹, respectively, using a biosorbent dose of 10 g·L⁻¹, initial metal concentrations ranging from 50 to 5000 mg·L⁻¹, at pH 6, 20 °C, and a contact time of 120 min. Low values of the mean free energy of adsorption (E) in the Dubinin–Radushkevich and Temkin model (0.3 and 0.1 kJ·mol⁻¹ for Pb(II) and 0.35 and 0.23 kJ·mol⁻¹ for Ni(II)) indicate the dominance of physical processes in the ion binding mechanism. The adsorption of Pb(II) ions was more effective than that of Ni(II) ions across the entire range of tested concentrations. At low initial concentrations, the removal of Pb(II) reached 94%, while for Ni(II) it was 80%.

The removal of hazardous heavy metals that have been released into the environment due to industrial activities has become an important issue in recent years. The presented study concerned the removal of copper(II) ions from aqueous solutions using dolomites. Dolomite is a very attractive adsorbent due to its wide availability, low cost, good adsorption, and environmental compatibility. The paper describes the properties of D-I and D-II dolomites from two different open-cast mines in Poland. The properties of natural adsorbents were determined based on point of zero charges (PZC), elemental analysis of the adsorbent composition, FT-IR, XRD, and SEM spectra analysis. Depending on the initial concentration of the solution used, the adsorption efficiency of copper(II) ions was 58–80% for D-I and 80–97% for D-II. The adsorption mechanism in the case of D-II dolomite was mainly based on ion exchange, while chemisorption dominated the D-I dolomite surface. Considering the possibility of the regeneration and reuse of the adsorbent, dolomite D-II is a better material (the desorption efficiency of copper(II) ions was 58–80%). The adsorption behavior of dolomites has been described using six adsorption isotherms. The best fit was obtained for the Redlich–Peterson, Jovanović, and Langmuir isotherms, indicating that monolayer adsorption occurred. The maximum adsorption capacity for copper(II) was 378 mg/g of D-I and 308 mg/g of D-II.

A very low concentration of manganese (Mn) in water is a critical issue for municipal and industrial water supply systems. Mn removal technology is based on the use of manganese oxides (MnO_x), especially manganese dioxide (MnO₂) polymorphs, under different conditions of pH and ionic strength (water salinity). The statistical significance of the impact of polymorph type (akhtenskite ε-MnO₂, birnessite δ-MnO₂, cryptomelane α-MnO₂ and pyrolusite β-MnO₂), pH (2–9) and ionic strength (1–50 mmol/L) of solution on the adsorption level of Mn was investigated. The analysis of variance and the non-parametric Kruskal–Wallis H test were applied. Before and after Mn adsorption, the tested polymorphs were characterized using X-ray diffraction, scanning electron microscope techniques and gas porosimetry analysis. Here we demonstrated the significant differences in adsorption level between MnO₂ polymorphs’ type and pH; however, the statistical analysis proves that the type of MnO₂ has a four times stronger influence. There was no statistical significance for the ionic strength parameter. We showed that the high adsorption of Mn on the poorly crystalline polymorphs leads to the blockage of micropores in akhtenskite and, contrary, causes the development of the surface structure of birnessite. At the same time, no changes in the surfaces of cryptomelane and pyrolusite, the highly crystalline polymorphs, were found due to the very small loading by the adsorbate.