ArticleJournal of environmental health science & engineering2019
Fixed bed adsorption column studies and models for removal of ibuprofen from aqueous solution by strong adsorbent Nano-clay composite.
Article in Journal of environmental health science & engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Removal of selected pharmaceutical pollutants from groundwater using colloidal activated carbon.Scientific reports · 2026Article
- Nanoencapsulation enhances stability, release behavior, and antimicrobial properties of Sage and Thyme essential oils.Scientific reports · 2025Article
- Removal of Sulfamethoxazole Using Fe-Mn Biochar Filtration Columns: Influence of Co-existing Polystyrene Microplastics.Journal of cleaner production · 2024Article
- Article
- Adsorption Study of Continuous Heavy Metal Ions (PbMaterials (Basel, Switzerland) · 2022Article
- Biosorptive Removal of Ethacridine Lactate from Aqueous Solutions byMaterials (Basel, Switzerland) · 2022Article
- Ring Vibrations to Sense Anionic Ibuprofen in Aqueous Solution as Revealed by Resonance Raman.Molecules (Basel, Switzerland) · 2022Article
- Toxicity and remediation of pharmaceuticals and pesticides using metal oxides and carbon nanomaterials.Chemosphere · 2021Review
- Carbide Derived Carbon (CDC) as novel adsorbent for ibuprofen removal from synthetic water and treated sewage effluent.Journal of environmental health science & engineering · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, ibuprofen was removed using a strong nano-clay-composite based on cloisite 15A, PVP and β-cyclodextrin (CD@clay-PVP) adsorbent through a fixed-bed column system. Chemically modified nano-clay was characterized by using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and XRD. Different input situations were evaluated and included adsorbent bed height, initial concentrations, and the impact of the flow rate on the adsorbent. The various mathematical models employed to predict the breakthrough curve and model parameters include Thomas, bed-depth service time (BDST), Yoon-Nelson, and Clark. The characteristics of parameters related to the models were obtained by linear and nonlinear regression to design the process for the columns. Based on error analysis and adsorption conditions, all of the models are identical in describing the adsorption fixed-bed columns.
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Registered trials
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