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February 25, 2026Scientific Reports1 citationsOpen Access

Porous structure analysis of coconut shell–derived activated carbons prepared under different conditions

MKMirosław KwiatkowskiXHXin Hu

Key Points

  • The aim is to investigate how different preparation conditions affect the porous structure of activated carbons derived from coconut shells.
  • Conducted analysis under varying activation temperatures and precursor to chemical activator mass ratios.
  • Applied clustering-based adsorption analysis to evaluate porous structures.
  • Utilized quenched solid density functional theory and non-local density functional theory methods for characterization.
  • Identified optimal activation temperature of 700 °C for best adsorption properties.
  • Found optimal mass ratios of 3 and 4 for precursor to activator.
  • Observed highest microporous structure development with VhA values of 1.563 cm³/g and 1.542 cm³/g.
  • Noted a low degree of surface heterogeneity with parameter h = 1.

Abstract

This paper presents original results of the analysis of the influence of preparation conditions on the formation of the porous structure of activated carbons derived from coconut shells and doped with nitrogen by combining ammoxidation with potassium hydroxide chemical activation. The clustering-based adsorption analysis process, the quenched solid density functional theory, and the non-local density functional theory methods were used in the analyses. Based on the obtained results, a significant effect of both the activation temperature and the mass ratio of precursor to chemical activator on the formation of the porous structure of the prepared activated carbons was observed. The materials with the best adsorption properties were the activated carbons prepared at 700 °C with mass ratios of raw material to chemical activator of 3 and 4. These materials were characterised not only by the highest development of the microporous structure, as indicated by the VhA values i.e.: 1.563 cm³/g and 1.542 cm³/g, respectively, but also by the lowest degree of surface heterogeneity, as suggested by the surface heterogeneity parameter h = 1.

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Cite This Study

Kwiatkowski et al. (2026) studied this question.

synapsesocial.com/papers/699e90f0f5123be5ed04e39ahttps://doi.org/10.1038/s41598-026-39432-4
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