Biomass derived diverse carbon nanostructure for electrocatalysis, energy conversion and storage

Carbon, Journal Year: 2023, Volume and Issue: 211, P. 118105 - 118105

Published: May 11, 2023

Language: Английский

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Structural properties and adsorption performance relationship towards three categories of lignin and their derived biochar

Bioresource Technology, Journal Year: 2024, Volume and Issue: 401, P. 130712 - 130712

Published: April 17, 2024

Language: Английский

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Baking-inspired pore regulation strategy towards a hierarchically porous carbon for ultra-high efficiency cationic/anionic dyes adsorption

Bioresource Technology, Journal Year: 2024, Volume and Issue: 395, P. 130324 - 130324

Published: Jan. 17, 2024

Language: Английский

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Honeycomb-like cork activated carbon with ultra-high adsorption capacity for anionic, cationic and mixed dye: Preparation, performance and mechanism

Bioresource Technology, Journal Year: 2022, Volume and Issue: 357, P. 127363 - 127363

Published: May 23, 2022

Language: Английский

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Evaluation of pistachio shells as solid wastes to produce activated carbon for CO2 capture: Isotherm, response surface methodology (RSM) and artificial neural network (ANN) modeling

Current Research in Green and Sustainable Chemistry, Journal Year: 2022, Volume and Issue: 5, P. 100342 - 100342

Published: Jan. 1, 2022

The adsorbent material selected for this study was microporous activated carbon prepared by physical activation from pistachio shells (PS). X-ray diffraction (XRD), Fourier transform infrared spectrometer (FTIR), scanning electron microscopy (SEM), and analysis of N2 isotherms used to determine the textural structural character material. (AC-PS) indicted a specific surface area (Brunauer–Emmett–Teller area: SBET: 715.34 m2/g, total pore volume: 0.346 cm3/g) good sorption CO2 (3.29 mmol/g at 25 °C 5.682 bar). effect adsorption capacity as response function evaluated optimized using methodology (RSM) based on pressure temperature independent variables. A back-propagation training approach is create feed-forward multilayer perceptron (MLP) artificial neural network models predict in study. experimental data experiments were analyzed isotherm thermodynamic models. Adsorption followed Hill model. an exothermic process, there mainly interaction. Minimum performance 0.0011456 determined performing mean square error (MSE) validation 22 epochs. R2 values RSM (ANN) 0.9957 0.999905, respectively. results showed that ANN could be effectively estimate adsorption. According these results, AC-PS would potential

Language: Английский

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Hierarchical porous biochar from kelp: Insight into self-template effect and highly efficient removal of methylene blue from water

Bioresource Technology, Journal Year: 2023, Volume and Issue: 372, P. 128676 - 128676

Published: Jan. 24, 2023

Language: Английский

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Removal of PFASs from water by carbon-based composite photocatalysis with adsorption and catalytic properties: A review

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 836, P. 155652 - 155652

Published: May 1, 2022

Language: Английский

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Resource mining from stainless steel pickling wastewater to produce metal-organic frameworks

Resources Conservation and Recycling, Journal Year: 2022, Volume and Issue: 188, P. 106647 - 106647

Published: Sept. 15, 2022

Language: Английский

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Novel Mg-doped pyro-hydrochars as methylene blue adsorbents: Adsorption behavior and mechanism

Journal of Molecular Liquids, Journal Year: 2023, Volume and Issue: 376, P. 121424 - 121424

Published: Feb. 10, 2023

Language: Английский

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Enhanced adsorption of 2,4-dichlorophenoxyacetic acid using low-temperature carbonized Peltophorum pterocarpum pods and its statistical physics modeling

Chemosphere, Journal Year: 2023, Volume and Issue: 336, P. 139143 - 139143

Published: June 5, 2023

Language: Английский

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