A novel graphene oxide–microalgae hybrid material for the removal of pentavalent arsenic from natural water and industrial wastewater

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Eliana S. Lemos, Evelyn M. Valdés Rodríguez, Adrián Bonilla Petriciolet, Andrea M. Ray and Leticia B. Escudero
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Abstract

In this study, a hybrid bionanomaterial (GO@Di) composed of Dictyosphaerium sp. microalgae and graphene oxide (GO) was synthesized for the first time to be used as an adsorbent for the removal of pentavalent arsenic (As(V)) from aqueous solutions. GO@Di was characterized by analytical techniques including Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), pH at point of zero charge (pHPZC), and BET surface analysis. Solution pH, adsorbent mass, initial concentration of the pollutant, and ionic strength were evaluated and optimized to identify the best conditions for As(V) removal using GO@Di. A removal efficiency of 69% and an adsorption capacity of 885 mg g−1 were obtained under the optimal conditions of pH 3, 1 mg of GO@Di and initial As(V) concentration of 50 mg L−1. The adsorption kinetics were also analyzed, reaching the equilibrium at 120 min. The experimental kinetic results were correlated with the pseudo-second order model. Equilibrium data were fitted with the Brunauer–Emmett–Teller (BET) isotherm model. Regeneration studies indicated that GO@Di could be re-used efficiently up to 4 adsorption/desorption cycles. Finally, GO@Di was applied to real samples of natural waters and industrial effluents, obtaining removal percentages between 52 and 95%, which demonstrated the promising potential of GO@Di to depollute complex aqueous matrices containing As(V). Future studies will focus on the removal of other arsenical species using GO@Di and its implementation in dynamic adsorption systems.

Abstract Image

Abstract Image

用于去除天然水和工业废水中五价砷的新型氧化石墨烯-微藻混合材料
本研究首次合成了一种由 Dictyosphaerium sp. 微藻和氧化石墨烯(GO)组成的混合仿生材料(GO@Di),并将其用作去除水溶液中五价砷(As(V))的吸附剂。通过傅立叶变换红外光谱(FT-IR)、扫描电子显微镜(SEM)、能量色散 X 射线光谱(EDS)、零电荷点 pH 值(pHPZC)和 BET 表面分析等分析技术对 GO@Di 进行了表征。对溶液 pH 值、吸附剂质量、污染物初始浓度和离子强度进行了评估和优化,以确定使用 GO@Di 去除 As(V) 的最佳条件。在 pH 值为 3、GO@Di 为 1 毫克、As(V) 初始浓度为 50 毫克/升的最佳条件下,去除率为 69%,吸附容量为 885 毫克/克。同时还分析了吸附动力学,在 120 分钟时达到平衡。实验动力学结果与伪二阶模型相关联。平衡数据与布鲁纳-艾美特-泰勒(BET)等温线模型进行了拟合。再生研究表明,GO@Di 可以有效地重复使用,最多可进行 4 次吸附/解吸循环。最后,将 GO@Di 应用于天然水体和工业废水的实际样品,获得了 52% 至 95% 的去除率,这表明 GO@Di 在去除含 As(V) 的复杂水基质方面具有巨大的潜力。未来的研究将侧重于利用 GO@Di 去除其他砷物种,并将其应用于动态吸附系统。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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