Abstract
Yttrium oxide nanoparticles (Y2O3 NPs) were synthesized via a green route using Pinus leaf extract and evaluated for Sb3+ removal from aqueous solutions. Structural characterization confirmed the formation of highly crystalline nanoparticles with an average size of approximately 16.4 nm. Batch adsorption experiments demonstrated a high maximum adsorption capacity of 228.54 mg/g. Equilibrium data were best described by the Langmuir isotherm, indicating monolayer adsorption, whereas kinetic data followed a pseudo-first-order model, indicating rapid Sb3+ uptake. Thermodynamic analysis showed that the adsorption process is spontaneous and exothermic (ΔG° < 0, ΔH° = −23.52 kJ/mol). Process optimization using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) showed excellent agreement with experimental results, with ANN providing superior predictive accuracy (R2 > 0.99). Regeneration experiments demonstrated that the nanoparticles retained more than 62% of their adsorption capacity after eight reuse cycles, confirming their reusability. These results highlight the potential of green-synthesized Y2O3 nanoparticles as efficient, reusable adsorbents for removing Sb3+ from contaminated water.
| Original language | English |
|---|---|
| Article number | 109646 |
| Journal | Journal of Water Process Engineering |
| Volume | 83 |
| DOIs | |
| State | Published - Mar 2026 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2026 Elsevier Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- ANN
- Adsorption
- Antimony removal
- Green synthesis
- RSM
- Yttrium oxide nanoparticles
ASJC Scopus subject areas
- Biotechnology
- Safety, Risk, Reliability and Quality
- Waste Management and Disposal
- Process Chemistry and Technology
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