Artificial neural network-assisted modelling of methylene blue dye adsorption onto ZIF-8 functionalized fishtail palm seed biomass: Isotherm and performance analysis
- 1Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
Abstract
This study investigates the adsorption performance of acid-activated fishtail palm seed biomass functionalized with ZIF-8 (ATFPS-ZIF-8) for the efficient removal of methylene blue (MB) dye from aqueous solutions. FTIR characterization confirmed the presence of functional groups responsible for enhanced adsorption activity. Batch adsorption experiments were conducted to evaluate the effects of initial dye concentration, adsorbent dosage, pH, contact time, and temperature on MB dye removal. The highest dye removal efficiency of approximately 95% was achieved at pH 5, adsorbent dosage of 2.5 g/L, and 60 min contact time, whereas adsorption efficiency decreased with increasing initial dye concentration. A slight decline in adsorption performance with increasing temperature indicated the exothermic nature of the adsorption process. Isotherm analysis demonstrated that the adsorption followed the Langmuir model with a maximum monolayer adsorption capacity of 122.69 mg/g, suggesting homogeneous monolayer adsorption. Furthermore, an artificial neural network (ANN) model was developed to predict adsorption performance, exhibiting excellent agreement with experimental results with correlation coefficient values greater than 0.99 and low prediction error. The findings highlight the synergistic effect of fishtail palm seed biomass and ZIF-8 in producing a sustainable, low-cost, and highly efficient adsorbent for dye contaminated wastewater treatment.
Related
- Kinetic modelling and equilibrium behaviour of methylene blue adsorption in sequentially modified PVDF/NC/TiO₂/carbon based hybrid membranes.
- CTAB-functionalized clinoptilolite alginate microbeads for enhanced Congo Red adsorption: performance, kinetics and equilibrium analysis
- Influence of Hydrothermal Carbonization Parameters on Surface Properties and Methylene Blue Adsorption Performance of Rose Stem-Derived Hydrochar
- Urea/acrylamide-assisted nitrogen-functionalized rice husk biochar for Cd(ii) removal: adsorption performance and interaction insights.
- Preparation and characterization of a clam shell powder/carrageenan composite for methylene blue adsorption
BibTeX
@article{yaashikaa2026artificial,
title = {{Artificial neural network-assisted modelling of methylene blue dye adsorption onto ZIF-8 functionalized fishtail palm seed biomass: Isotherm and performance analysis}},
author = {P.R. Yaashikaa and Arivudainambi Saravanan},
journal = {Hybrid Advances},
year = {2026},
month = may,
doi = {10.1016/j.hybadv.2026.100680},
url = {https://doi.org/10.1016/j.hybadv.2026.100680},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Artificial neural network-assisted modelling of methylene blue dye adsorption onto ZIF-8 functionalized fishtail palm seed biomass: Isotherm and performance analysis
AU - P.R. Yaashikaa
AU - Arivudainambi Saravanan
PY - 2026
DA - 2026/05/23
JO - Hybrid Advances
DO - 10.1016/j.hybadv.2026.100680
UR - https://doi.org/10.1016/j.hybadv.2026.100680
AB - This study investigates the adsorption performance of acid-activated fishtail palm seed biomass functionalized with ZIF-8 (ATFPS-ZIF-8) for the efficient removal of methylene blue (MB) dye from aqueous solutions. FTIR characterization confirmed the presence of functional groups responsible for enhanced adsorption activity. Batch adsorption experiments were conducted to evaluate the effects of initial dye concentration, adsorbent dosage, pH, contact time, and temperature on MB dye removal. The highest dye removal efficiency of approximately 95% was achieved at pH 5, adsorbent dosage of 2.5 g/L, and 60 min contact time, whereas adsorption efficiency decreased with increasing initial dye concentration. A slight decline in adsorption performance with increasing temperature indicated the exothermic nature of the adsorption process. Isotherm analysis demonstrated that the adsorption followed the Langmuir model with a maximum monolayer adsorption capacity of 122.69 mg/g, suggesting homogeneous monolayer adsorption. Furthermore, an artificial neural network (ANN) model was developed to predict adsorption performance, exhibiting excellent agreement with experimental results with correlation coefficient values greater than 0.99 and low prediction error. The findings highlight the synergistic effect of fishtail palm seed biomass and ZIF-8 in producing a sustainable, low-cost, and highly efficient adsorbent for dye contaminated wastewater treatment.
SN - 2773-207X
ER -