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<p>At a global level, groundwater pollution with arsenic (As) is a major environmental and public health problem. Chronic exposure can cause cancer, neurotoxicity, diabetes, and lung and cardiovascular diseases, among others. In this research work, the use of graphene oxide (GO) functionalized with L-asparagine (L-Asn) amino acid for the As(III) adsorption was investigated. A multivariate optimization study of the experimental variables was performed, where the highest As(III) removal percentage (60%) was obtained at pH 7, 50 mg L<sup>− 1</sup> of NaCl, 10&#xa0;mg of adsorbent, 100 mL of sample, and 180&#xa0;min of agitation time. The pseudo-second-order kinetic model showed the best fitting with the As(III) adsorption data. The maximum adsorption capacity, as predicted by the Sips model, was an impressive 6500 mg g<sup>− 1</sup>, indicating a superadsorbent character of GO@L-Asn. FT-IR analysis demonstrated that the –COOH functional groups are possibly involved in the As(III) uptake by GO@L-Asn. The results of the thermodynamic analysis showed that the As(III) adsorption was an endothermic, spontaneous, and favorable process. The proposed adsorption process was successfully tested to remove As(III) from natural water samples.</p> Graphical abstract <p></p>

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Amino acid-functionalized graphene oxide superadsorbent for arsenic removal from natural water

  • 期刊论文

  • 发表日期：

    2026年7月13日

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  • Estefanía Belén Ingrassia,
  • Emiliano Franco Fiorentini,
  • Guilherme Luiz Dotto,
  • Leticia Belén Escudero

摘要

At a global level, groundwater pollution with arsenic (As) is a major environmental and public health problem. Chronic exposure can cause cancer, neurotoxicity, diabetes, and lung and cardiovascular diseases, among others. In this research work, the use of graphene oxide (GO) functionalized with L-asparagine (L-Asn) amino acid for the As(III) adsorption was investigated. A multivariate optimization study of the experimental variables was performed, where the highest As(III) removal percentage (60%) was obtained at pH 7, 50 mg L− 1 of NaCl, 10 mg of adsorbent, 100 mL of sample, and 180 min of agitation time. The pseudo-second-order kinetic model showed the best fitting with the As(III) adsorption data. The maximum adsorption capacity, as predicted by the Sips model, was an impressive 6500 mg g− 1, indicating a superadsorbent character of GO@L-Asn. FT-IR analysis demonstrated that the –COOH functional groups are possibly involved in the As(III) uptake by GO@L-Asn. The results of the thermodynamic analysis showed that the As(III) adsorption was an endothermic, spontaneous, and favorable process. The proposed adsorption process was successfully tested to remove As(III) from natural water samples.

Graphical abstract