Synthesis and characterization of pecan nutshell-based adsorbent with high specific area and high methylene blue adsorption capacity
In this work, a pecan nutshell was used as a precursor to prepare activated hydrochar (HPN-ATV) with a high specific area. HPN-ATV was engineered as an adsorbent for the removal of methylene blue (MB) from aqueous environments. The obtained materials were characterized using textural, morphological,...
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Published in | Journal of molecular liquids Vol. 276; pp. 570 - 576 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.02.2019
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Subjects | |
Online Access | Get full text |
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Summary: | In this work, a pecan nutshell was used as a precursor to prepare activated hydrochar (HPN-ATV) with a high specific area. HPN-ATV was engineered as an adsorbent for the removal of methylene blue (MB) from aqueous environments. The obtained materials were characterized using textural, morphological, and chemical analysis techniques. HPN-ATV showed a BET specific area of 2342 m2 g−1 and an average pore diameter of 2.24 nm. Boehm titration and FTIR spectral analysis indicated the presence of acidic and basic functional groups on the surface of HPN-ATV, which rendered the removal of cationic molecules more favorable. The kinetic experimental data better correlated with the pseudo-second-order kinetic and Elovich equations, and the Langmuir model showed a better fit for the data of MB adsorption. The adjusting parameters indicated a monolayer with an adsorption capacity of 1190.62 mg g−1, which is higher than that of the other adsorbents reported in literature. In addition, the thermodynamic data suggested a spontaneous adsorption process with endothermic characteristics.
•Hydrobiochar with a specific area of 2342 m2 g−1 was obtained from Pecan nutshell.•The results indicated a monolayer with an adsorption capacity of 1190.62 mg g−1•Methylene blue was absorbed predominantly via chemisorption.•The adsorption process is spontaneous with endothermic characteristics. |
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ISSN: | 0167-7322 1873-3166 |
DOI: | 10.1016/j.molliq.2018.12.010 |