Nitrogen Self-DopingHierarchical Pore Biochar forEnhanced CO<sub>2</sub> Capture: Modulation of Pore Structure andSurface Properties

Negative emission technology aims to remove greenhouse gases such as CO<sub>2</sub> from the atmosphere, which is an important way to achieve efficient carbon reduction. The use of biochar materials as adsorbents can significantly reduce the cost while effectively capturing CO<sub>2</sub>. In this work, carp fish scales were used as biomass raw materials, a small amount of KOH was used as an activator to provide ionic active sites, and the activation ion K<sup>+</sup> was uniformly introduced into the material through a premixed hydrothermal reaction, followed by a single-step carbonization and activation process at a moderate temperature, along with an acid wash, to produce a N self-doping, layered-structured biochar with high porosity and uniform pore channels. A series of hierarchical biochars with dissimilar physicochemical properties were prepared by varying the carbonization temperature. Among them, the sample prepared at 700 °C (AF-700) has an ultrahigh specific surface area of 1371 m<sup>2</sup> g<sup>–1</sup>, a pore volume of 0.85 cm<sup>3</sup> g<sup>–1</sup>, and showed the highest adsorption performance of 3.34 mmol g<sup>–1</sup> (0 °C, 1 bar). We also fitted the adsorption curves of the biochar using the Langmuir–Freundlich isotherm model and calculated the adsorption selectivity of the material for CO<sub>2</sub> (N<sub>2</sub> and Ar) with ideal adsorption solution theory. The results indicate that N self-doped hierarchical structure biochar exhibits high CO<sub>2</sub> adsorption efficiency and is composited in an economical and simple way, thus holding great potential for the large-scale production of efficient CO<sub>2</sub> adsorbents.

Publication Details

Journal
Figshare
Published
2025-03-26
DOI
https://doi.org/10.1021/acs.langmuir.5c00227.s001
Primary Topic
Carbon Dioxide Capture Technologies
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Nitrogen Self-DopingHierarchical Pore Biochar forEnhanced CO2 Capture: Modulation of Pore Structure andSurface Properties

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Carbon Dioxide Capture Technologies
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Nitrogen Self-DopingHierarchical Pore Biochar forEnhanced CO2 Capture: Modulation of Pore Structure andSurface Properties

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Abstract

Negative emission technology aims to remove greenhouse gases such as CO<sub>2</sub> from the atmosphere, which is an important way to achieve efficient carbon reduction. The use of biochar materials as adsorbents can significantly reduce the cost while effectively capturing CO<sub>2</sub>. In this work, carp fish scales were used as biomass raw materials, a small amount of KOH was used as an activator to provide ionic active sites, and the activation ion K<sup>+</sup> was uniformly introduced into the material through a premixed hydrothermal reaction, followed by a single-step carbonization and activation process at a moderate temperature, along with an acid wash, to produce a N self-doping, layered-structured biochar with high porosity and uniform pore channels. A series of hierarchical biochars with dissimilar physicochemical properties were prepared by varying the carbonization temperature. Among them, the sample prepared at 700 °C (AF-700) has an ultrahigh specific surface area of 1371 m<sup>2</sup> g<sup>–1</sup>, a pore volume of 0.85 cm<sup>3</sup> g<sup>–1</sup>, and showed the highest adsorption performance of 3.34 mmol g<sup>–1</sup> (0 °C, 1 bar). We also fitted the adsorption curves of the biochar using the Langmuir–Freundlich isotherm model and calculated the adsorption selectivity of the material for CO<sub>2</sub> (N<sub>2</sub> and Ar) with ideal adsorption solution theory. The results indicate that N self-doped hierarchical structure biochar exhibits high CO<sub>2</sub> adsorption efficiency and is composited in an economical and simple way, thus holding great potential for the large-scale production of efficient CO<sub>2</sub> adsorbents.

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Nitrogen Self-DopingHierarchical Pore Biochar forEnhanced CO<sub>2</sub> Capture: Modulation of Pore Structure andSurface Properties · Figshare (2025) | TGRS Research Map | TGRS