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

Carbon, Год журнала: 2023, Номер 211, С. 118105 - 118105

Опубликована: Май 11, 2023

Язык: Английский

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

Bioresource Technology, Год журнала: 2024, Номер 401, С. 130712 - 130712

Опубликована: Апрель 17, 2024

Язык: 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, Год журнала: 2024, Номер 395, С. 130324 - 130324

Опубликована: Янв. 17, 2024

Язык: 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, Год журнала: 2022, Номер 357, С. 127363 - 127363

Опубликована: Май 23, 2022

Язык: 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, Год журнала: 2022, Номер 5, С. 100342 - 100342

Опубликована: Янв. 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

Язык: 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, Год журнала: 2023, Номер 372, С. 128676 - 128676

Опубликована: Янв. 24, 2023

Язык: 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, Год журнала: 2022, Номер 836, С. 155652 - 155652

Опубликована: Май 1, 2022

Язык: Английский

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

Resources Conservation and Recycling, Год журнала: 2022, Номер 188, С. 106647 - 106647

Опубликована: Сен. 15, 2022

Язык: Английский

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

Journal of Molecular Liquids, Год журнала: 2023, Номер 376, С. 121424 - 121424

Опубликована: Фев. 10, 2023

Язык: 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, Год журнала: 2023, Номер 336, С. 139143 - 139143

Опубликована: Июнь 5, 2023

Язык: Английский

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