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Investigation on efficiency of synthesized lanthanum oxide–coated biochar and graphene oxide–coated biochar on removal of fluoride: batch and fixed bed continuous reactor performance modelling

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Abstract

Fluoride contamination is one of the growing concerns among many countries around the world. India is one such country which is suffering severe fluoride contamination in drinking water causing skeletal fluorosis and dental fluorosis. This study mainly includes the synthesis of an effective adsorbent for fluoride removal from synthetic waste water and two types of nano-coated biochar was used: nano metal oxide coated biochar and graphene oxide coated biochar. Biochar was synthesized from agricultural waste materials using thermal treatment. Lanthanum oxide nanoparticle–coated biochar (AcLaO) showed better fluoride removal than graphene oxide–coated biochar (SDGO). The batch optimization study showed that at pH 6 and temperature 303 K with 0.5 g/L adsorbent dose, removal of 24.75 mg/g of fluoride was observed for AcLaO, and in the case of SDGO, the adsorption capacity was 11 mg/g. Column study suggested that higher bed height increased the efficiency of the column, whereas higher pollutant concentration decreased the efficiency of the column. The reuse and regeneration of the used adsorbent were studied for an effective adsorption system, and the adsorbent synthesised was efficiently used for five consecutive cycles.

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Acknowledgements

The authors are thankful to the Science and Engineering Research Board, Department of Science & Technology for financial assistance.

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Vijoyeta Chakraborty: experimentation, paper writing.

Papita Das: concept, supervise the experiment and manuscript.

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Correspondence to Papita Das.

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Chakraborty, V., Das, P. Investigation on efficiency of synthesized lanthanum oxide–coated biochar and graphene oxide–coated biochar on removal of fluoride: batch and fixed bed continuous reactor performance modelling. Biomass Conv. Bioref. 14, 6507–6520 (2024). https://doi.org/10.1007/s13399-022-02661-4

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