Toxic crystal violet dye removal by novel, eco-friendly seablite biochar–ferrite composite: adsorption isotherm, kinetics, and artificial neural network

Rising water demand has intensified pollution and created an urgent need for efficient treatment methods. Adsorption is a green and low-cost approach, yet conventional adsorbents often face sustainability and regeneration challenges. In this study, a novel adsorbent was developed by pyrolyzing <i>Suaeda monoica</i> leaf powder (LP) into biochar (BC300), followed by base treatment and coprecipitation with NiCuZnFe<sub>2</sub>O<sub>4</sub> spinel to form a ferrite-biochar composite (FCOB). FCOB effectively removed Crystal Violet (CV) dye from aqueous solution. FE-SEM images revealed a layered morphology, while FTIR analysis confirmed multiple adsorption mechanisms, including hydrogen bonding, electrostatic attraction, surface complexation, and pore filling for CV adsorption. Optimization studies showed maximum CV removal at pH 8 with a 30 mg FCOB dose, maintaining >95% removal up to 200 mg L<sup>-1</sup> dye concentration. For higher concentrations, 150, 250 mg L<sup>-1</sup>, the equilibrium time was 120 min. The Langmuir model indicated monolayer adsorption with a maximum capacity (<i>q</i> <sub>max</sub>) of 325.5 mg g<sup>-1</sup> at 30 °C, whereas the Dubinin-Radushkevich (D-R) model (<i>E</i> < 8 kJ mol<sup>-1</sup>) suggested physical adsorption. Kinetic analysis revealed that the pseudo-second-order (PSO) model best described the process, indicating the chemical nature of CV adsorption onto FCOB, while the Elovich model provided a better fit at higher concentrations, reflecting surface heterogeneity. Thermodynamic parameters confirmed that CV adsorption was spontaneous and endothermic (Δ<i>H</i>° = 49.03 kJ mol<sup>-1</sup>). FCOB retained >275 mg g<sup>-1</sup> capacity after five regeneration cycles, demonstrating good reusability. Artificial neural network (ANN) modeling reliably predicted adsorption performance (<i>R</i> <sup>2</sup> > 0.99) using pH, dye concentration, dose, time, and temperature as inputs. These findings highlight FCOB as an economical, eco-friendly, and scalable adsorbent for dye removal from wastewater.

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Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra04604a
Citations
8
Primary Topic
Pigment Synthesis and Properties
Type
article
Field-Weighted Citation Impact
4.30

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article

Toxic crystal violet dye removal by novel, eco-friendly seablite biochar–ferrite composite: adsorption isotherm, kinetics, and artificial neural network

Vished Kumar, Disha Mehta, Pragnesh N. Dave
8 citations
RSC Advances
Pigment Synthesis and Properties
4.30
article

Toxic crystal violet dye removal by novel, eco-friendly seablite biochar–ferrite composite: adsorption isotherm, kinetics, and artificial neural network

Vished Kumar, Disha Mehta, Pragnesh N. Dave
article en
8 citations

Abstract

Rising water demand has intensified pollution and created an urgent need for efficient treatment methods. Adsorption is a green and low-cost approach, yet conventional adsorbents often face sustainability and regeneration challenges. In this study, a novel adsorbent was developed by pyrolyzing <i>Suaeda monoica</i> leaf powder (LP) into biochar (BC300), followed by base treatment and coprecipitation with NiCuZnFe<sub>2</sub>O<sub>4</sub> spinel to form a ferrite-biochar composite (FCOB). FCOB effectively removed Crystal Violet (CV) dye from aqueous solution. FE-SEM images revealed a layered morphology, while FTIR analysis confirmed multiple adsorption mechanisms, including hydrogen bonding, electrostatic attraction, surface complexation, and pore filling for CV adsorption. Optimization studies showed maximum CV removal at pH 8 with a 30 mg FCOB dose, maintaining >95% removal up to 200 mg L<sup>-1</sup> dye concentration. For higher concentrations, 150, 250 mg L<sup>-1</sup>, the equilibrium time was 120 min. The Langmuir model indicated monolayer adsorption with a maximum capacity (<i>q</i> <sub>max</sub>) of 325.5 mg g<sup>-1</sup> at 30 °C, whereas the Dubinin-Radushkevich (D-R) model (<i>E</i> < 8 kJ mol<sup>-1</sup>) suggested physical adsorption. Kinetic analysis revealed that the pseudo-second-order (PSO) model best described the process, indicating the chemical nature of CV adsorption onto FCOB, while the Elovich model provided a better fit at higher concentrations, reflecting surface heterogeneity. Thermodynamic parameters confirmed that CV adsorption was spontaneous and endothermic (Δ<i>H</i>° = 49.03 kJ mol<sup>-1</sup>). FCOB retained >275 mg g<sup>-1</sup> capacity after five regeneration cycles, demonstrating good reusability. Artificial neural network (ANN) modeling reliably predicted adsorption performance (<i>R</i> <sup>2</sup> > 0.99) using pH, dye concentration, dose, time, and temperature as inputs. These findings highlight FCOB as an economical, eco-friendly, and scalable adsorbent for dye removal from wastewater.

RSC AdvancesVol. 15(40)
Gujarat Institute of Desert Ecology (IN), Sardar Patel University (IN)
Indian Institute of Technology Gandhinagar
Openalex Percentile: Top 5%
Pigment Synthesis and Properties
4.30
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