Adsorption of Methyl Red on porous activated carbon from agriculture waste: Characterization and response surface methodology optimization

Bouzid, Taoufiq; Grich, Abdelali; Naboulsi, Aicha; Regti, Abdelmajid; Alaoui Tahiri, A.; El Himri, Mamoune; El Haddad, Mohammadine

doi:10.1016/j.inoche.2023.111544

Cited by 31 publications

(1 citation statement)

References 56 publications

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“…It is important to note that RSM has not been previously used for optimizing modified activated carbon with varying percentages of LiOH concentration. Furthermore, DFT in existing literature has not been applied to CO 2 capture for this specific system; instead, RSM has typically been used for activated carbon applications related to dye removal 38 , 39 . This study fills these gaps by applying RSM to optimize LiOH-AC for CO 2 capture and utilizing DFT to understand the interactions in this novel system.…”

Section: Introductionmentioning

confidence: 99%

Experimental, RSM modelling, and DFT simulation of CO2 adsorption on Modified activated carbon with LiOH

Ahmadi,

Bahmanzadegan,

Qasemnazhand

et al. 2024

Sci Rep

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This research investigates the enhancement of CO2 adsorption capacity through the use of modified activated carbon (AC) with LiOH, focusing on operational conditions and adsorbent properties. Response Surface Methodology (RSM) is employed to optimize process parameters for maximizing CO2 adsorption capacity. The study considers temperature, pressure, LiOH concentration for modification, and adsorbent weight as independent variables across five levels. Analysis of Variance reveals that LiOH concentration, adsorbent quantity, pressure, and temperature significantly influence CO2 adsorption. Optimal values for temperature (30°C), pressure (9 bar), LiOH concentration (0.5 mol/L), and adsorbent weight (0.5 g) result in a maximal CO2 adsorption capacity of 154.90 mg/g. Equilibrium adsorption capacity is utilized for modeling, with the Freundlich model proving suitable for CO2 adsorption on LiOH-AC. Kinetic modeling indicates the second-order model's suitability for temperatures of 30 °C and 50 °C, while the Elovich model fits temperatures of 70 °C and 90 °C. Thermodynamic modeling at the optimized conditions (303 K and 6 bar) yields ∆H, ∆S, and ∆G values of adsorption as 12.258 kJ/mol, − 0.017 kJ/mol·K, and − 7.031 kJ/mol, respectively. Furthermore, structural considerations of AC are discussed alongside modeling and simulation, presenting the adsorption rate of CO2 and the binding energy index based on Density Functional Theory (DFT).

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Section: Introductionmentioning

confidence: 99%

Experimental, RSM modelling, and DFT simulation of CO2 adsorption on Modified activated carbon with LiOH

Ahmadi,

Bahmanzadegan,

Qasemnazhand

et al. 2024

Sci Rep

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Maximizing methyl red dye removal efficiency: a targeted parameter approach

Behera,

Poddar,

Byun

2024

J of Chemical Tech & Biotech

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BACKGROUNDLiquid–liquid extraction plays a crucial role in the chemical industry for obtaining valuable products. This research focuses on optimizing key parameters, namely dye removal percentage, solvent capacity, and distribution coefficient, in the liquid–liquid extraction of methyl red dye from its aqueous solution using benzene as the extractant. The study investigates the influence of key variables, including feed dye concentration (20–100) ppm, extraction time (10–30) min and dye solution‐to‐solvent ratio (1–3) mL/mL. The experiments are conducted at a constant pH of 3 and controlled temperatures of (27 ± 2) °C.RESULTSStrategically controlling various parameters, this investigation aims to achieve superior outcomes, surpassing prior achievements in similar experimental conditions. Utilizing the Box‐Behnken design for optimization, the research attains a remarkable recovery efficiency of 84.61%. The achieved optimal values for dye removal, distribution coefficient, and solvent capacity are (84.61±5.07)%, 5.22±0.31, and (5.17±0.94) ppm, respectively, at a feed dye concentration of 20 ppm, an extraction time of 27.994 min, and a dye solution‐to‐solvent ratio of 3 mL/mL.CONCLUSIONThese findings underscore the potential for maximizing methyl red dye extraction efficiency and surpassing previously reported efficiency using the presented parameters with the same input data. The study contributes to advancements in liquid–liquid extraction technology and provides a deeper understanding of the optimization process with technical precision.This article is protected by copyright. All rights reserved.

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Fixed-bed adsorption of pesticide agricultural waste using cross-linked adsorptive hydrogel composite beads

Naboulsi,

Haydari,

Bouzid

et al. 2024

Environ Sci Pollut Res

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Adsorption of Methyl Red on porous activated carbon from agriculture waste: Characterization and response surface methodology optimization

Cited by 31 publications

References 56 publications

Experimental, RSM modelling, and DFT simulation of CO2 adsorption on Modified activated carbon with LiOH

Experimental, RSM modelling, and DFT simulation of CO2 adsorption on Modified activated carbon with LiOH

Maximizing methyl red dye removal efficiency: a targeted parameter approach

Fixed-bed adsorption of pesticide agricultural waste using cross-linked adsorptive hydrogel composite beads

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