Bio-activation and mathematical modeling of ZIF-L encapsulated with laccase for enhanced ibuprofen removal from wastewater
This work explores the bio-activation of zeolitic imidazolate framework (ZIF-L) by laccase encapsulation for enhanced performance of emerging pollutant removal from wastewater. ZIF-L exhibits high surface area, porosity, and selective adsorption characteristics, which contribute to its effective adsorption of ibuprofen. Under the same conditions, the ibuprofen removal increased from 50% using bare ZIF-L to 83% using bio-activated ZIF-L. The Kinetics and thermodynamics of ibuprofen adsorption on ZIF-L were studied and mathematically modeled. The effect of laccase encapsulation inside the ZIF-L crystals was thoroughly investigated using a diffusion-reaction model, which was solved numerically using a finite difference explicit scheme. The results showed deep ibuprofen penetration within the ZIF-L crystal containing encapsulated laccase. The bio-activated ZIF-L was used in a fixed-bed column to study the continuous removal of ibuprofen. The dynamic behavior of the continuous fixed-bed system was mathematically modeled to predict the concentration profiles and breakthrough curves at various initial ibuprofen concentrations. This study presents a novel approach demonstrating the positive effect of laccase catalytic activity in enhancing the performance of ZIF-L as an adsorbent for ibuprofen removal. The approach offers an effective, economical, and environmentally friendly method to remove emerging pollutants from wastewater. • Utilizing ZIF- bio-activated with laccase is effective biocatalysis for ibuprofen removal. • Ibuprofen removal rate was significantly higher using the bioactive ZIF-L as compared to ZIF-L alone. • Diffusion-reaction kinetics model was used to describe the process. • Continuous ibuprofen removal was achieved using a fixed-bed column packed with bioactive ZIF-L.
Authors
- Sulaiman Al‐Zuhair (ORCID: https://orcid.org/0000-0001-5042-9495)
- Shadi Wajih Hasan (ORCID: https://orcid.org/0000-0002-7269-094X)
- Bart Van der Bruggen (ORCID: https://orcid.org/0000-0002-3921-7472)
- Abdul Rahman Hassan (ORCID: https://orcid.org/0009-0006-7802-6210)
Institutions
- Khalifa University of Science and Technology (AE)
- United Arab Emirates University (AE)
- KU Leuven (BE)
Publication Details
- Journal
- Cleaner Engineering and Technology
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1016/j.clet.2024.100875
- Citations
- 6
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 1.25