4.7 Article

Rice husk char as a sustainable material for the preparation of graphene oxide-supported biocarbons with mesoporous structure: A characterization and adsorption study

Journal

FUEL
Volume 344, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2023.128042

Keywords

Rice husk char; Carbonaceous composite; Graphene oxide; Adsorption; Recycling

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This study proposed using two graphene oxide (GO)-based carbonaceous composites, RHC/GO and OMC/GO, to effectively utilize rice husk carbon (RHC) and rice husk ash (RHA). The addition of GO increased the surface areas and pore volumes of the carbonaceous composites. Both RHC/GO and OMC/GO exhibited a mesoporous structure with high surface area and pore volume. OMC/GO showed better performance for the adsorption of Rhodamine B (RhB) compared to RHC/GO.
Rice husk (RH) is a biomass-based waste that can be used to produce sustainable energy. RH carbon (RHC) and RH ash (RHA) remain in solid char after the transformation of RH into heat energy. To effectively use RHC and RHA wastes, this study proposed using two graphene oxide (GO)-based carbonaceous composites: RHC/GO and ordered mesoporous carbon (OMC)/GO. RHC was prepared through the high-temperature pyrolysis of RH. OMC was obtained by recycling RHA as a silica template source. The experimental results demonstrated that surface areas and pore volumes of carbonaceous composites were increased after the addition of GO. Both RHC/GO and OMC/GO materials exhibited a mesoporous structure with a surface area of 618 and 1068 m2/g, respectively, and a pore volume of 0.533 and 1.143 cm3/g, respectively. Rhodamine B (RhB) was used to evaluate the effects of solution pH, adsorbent dosage, and the initial concentration of the relevant dye on the adsorption capacities of the two carbonaceous composites. OMC/GO had a relatively satisfactory performance for the elimination of RhB compared with RHC/GO. The findings of kinetics and isothermal adsorption studies for RHC/GO and OMC/GO implied that adsorption obeyed the pseudo-second-order and Langmuir models. RHC and RHA can be beneficial for synthesizing nanoproducts and reducing biowastes.

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