Preparation of activated carbon from Ziziphus jujuba stones by H3PO4-assisted thermo-chemical activation: application in the removal of anionic diazo dye from synthetic water

Biomass Conversion and Biorefinery, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

Sustainable Removal of Basic Fuchsine and Methylene Blue Dyes Using Chicken Bone Biomass: Thermodynamics, Kinetics, and Insights from Experimental Studies and Decision Tree with Least Squares Boosting Predictive Modeling

Water, Год журнала: 2025, Номер 17(7), С. 1053 - 1053

Опубликована: Апрель 2, 2025

This study addresses the dual challenges of water pollution and waste management by exploring valorization chicken bone biomass in native (NBio) calcined (CBio) forms as biosorbents for dye removal. Basic fuchsine (BF) methylene blue (MB) were selected model pollutants, adsorption was assessed under varying operational conditions. Characterization using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD) showed that calcination improved crystallinity, eliminated organic impurities, increased surface area (247 m2/g NBio vs. 370 CBio). Adsorption tests revealed higher performance CBio, with maximum capacities 100 mg/g 142.85 based on Langmuir isotherm, while 111 111.11 followed Freundlich model. kinetics indicated pseudo-second-order behavior, suggesting chemisorption. The possible interactions between dyes biosorbent are hydrogen bonding, electrostatic interactions, Lewis acid–base interactions. Thermodynamic analysis highlighted exothermic behavior endothermic, entropy-driven both processes being spontaneous. A decision tree Least Squares Boosting (DT_LSBOOST) provided accurate predictions (R2 = 0.9999, RMSE < 0.003) integrating key parameters. These findings promote a cost-effective, sustainable biosorbent, offering promising potential wastewater treatment environmental remediation.

Язык: Английский

Approximation of Oxygen Transfer Efficiency of Solid Jet Aerator Having Circular Opening with Kernel Function-Based Models and Random Forest Models

Iranian Journal of Science and Technology Transactions of Civil Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Язык: Английский