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Humic Acid Recovery from Leachate Nanofiltration Concentrate Using Halloysite Nanotube-Coated Tubular Ceramic
Sultan Akarçay Demir1, Gamze Varank1, Derya Y Koseoglu-Imer2
1Department of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, 34220 Istanbul, Türkiye.
This study introduces a novel hybrid membrane system using halloysite nanotubes (HNTs) for recovering humic acids (HAs) from landfill wastewater. The HNT-coated membranes show promise for circular economy principles in wastewater treatment.
Area of Science:
- Environmental Science
- Materials Science
- Chemical Engineering
Background:
- Landfill wastewater contains valuable humic acids (HAs), posing environmental challenges.
- Nanofiltration (NF) concentrate from treatment requires innovative solutions for HA recovery.
- Circular economy principles necessitate pollution-resistant separation technologies.
Purpose of the Study:
- To develop and evaluate a hybrid membrane system for humic acid (HA) recovery.
- To integrate halloysite nanotubes (HNTs) as a dynamic coating on ceramic ultrafiltration membranes.
- To assess the adsorption-desorption performance of HNTs for HA recovery.
Main Methods:
- Batch adsorption-desorption experiments were conducted using HNTs.
- Tube-shaped ceramic ultrafiltration membranes were coated with HNTs.
- Membrane performance was tested with synthetic and real NF concentrate.
Main Results:
- HNT adsorption of HAs followed the Freundlich isotherm model.
- Maximum HA adsorption capacity increased with initial concentration.
- Desorption studies achieved up to 74.6% HA recovery using NaOH.
- Membrane filtration showed 85.3% HA removal in synthetic solutions.
- Real NF concentrate yielded lower removal (19-64%) and recovery (up to 59.3%) due to matrix complexity.
Conclusions:
- HNT-coated membranes offer a potential method for HA recovery from landfill wastewater.
- The hybrid system demonstrates feasibility for circular economy applications.
- Wastewater matrix complexity impacts separation efficiency, requiring further optimization.
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