ArticleNanomaterials (Basel, Switzerland)2023
Aqueous Pb(II) Removal Using ZIF-60: Adsorption Studies, Response Surface Methodology and Machine Learning Predictions.
Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Life Cycle Assessment of Synthesis Route and Regenerative Application of Novel GO/ZIF-60/CoNiAl-LTH Nanocomposite for Efficient Remediation of Ciprofloxacin Contaminated Water.Antibiotics (Basel, Switzerland) · 2026Article
- Machine learning-assisted DFT-prediction of pristine and endohedral doped (O and Se) GeScientific reports · 2024Article
- Recent Progress on the Adsorption of Heavy Metal Ions Pb(II) and Cu(II) from Wastewater.Nanomaterials (Basel, Switzerland) · 2024Review
- An Up-to-Date Review on the Remediation of Dyes and Phenolic Compounds from Wastewaters Using Enzymes Immobilized on Emerging and Nanostructured Materials: Promises and Challenges.Nanomaterials (Basel, Switzerland) · 2023Review
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Authors and funding
3 authors.
Funding
Abstract
Zeolitic imidazolate frameworks (ZIFs) are increasingly gaining attention in many application fields due to their outstanding porosity and thermal stability, among other exceptional characteristics. However, in the domain of water purification via adsorption, scientists have mainly focused on ZIF-8 and, to a lesser extent, ZIF-67. The performance of other ZIFs as water decontaminants is yet to be explored. Hence, this study applied ZIF-60 for the removal of lead from aqueous solutions; this is the first time ZIF-60 has been used in any water treatment adsorption study. The synthesized ZIF-60 was subjected to characterization using FTIR, XRD and TGA. A multivariate approach was used to investigate the effect of adsorption parameters on lead removal and the findings revealed that ZIF-60 dose and lead concentration are the most significant factors affecting the response (i.e., lead removal efficiency). Further, response surface methodology-based regression models were generated. To further explore the adsorption performance of ZIF-60 in removing lead from contaminated water samples, adsorption kinetics, isotherm and thermodynamic investigations were conducted. The findings revealed that the obtained data were well-fitted by the Avrami and pseudo-first-order kinetic models, suggesting that the process is complex. The maximum adsorption capacity (
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