Mai Duc Dung, To Thanh Loan, Bui Thi Hang, Nguyen Thi Kim Lien, Luong Thi Kim Phuong, Nguyen Thi Lan
School of Materials Science and Engineering, Hanoi University of Science and Technology, No. 1 Dai Co Viet Road, Hanoi, Vietnam.
Faculty of Engineering and Technology, Hong Duc University, Thanh Hoa, Vietnam.
Anal Sci. 2024 Dec;40(12):2213-2224. doi: 10.1007/s44211-024-00657-w. Epub 2024 Sep 6.
Arsenic (As(V)) contamination in aqueous resources poses a significant environmental, and public health risk due to its high toxicity. To address this challenge, we synthesized and characterized novel reduced graphene oxide/magnetite (rGO/FeO) nanocomposites, which are efficient adsorbents for removing As(V). Using a co-precipitation method, we obtained three distinct sizes of rGO/FeO nanocomposites by controlling the salt concentration (Fe: Fe) ratios. Analysis of the adsorption ability of the samples shows that the adsorption efficiency can reach up to 98.10% within 90 min, and the adsorption capacity value reaches 20.55 mg/g. Furthermore, these test data are ably consistent with both the pseudo-second-order model and the Langmuir model, based on which the adsorption mechanism has been proposed. These results show that the rGO/FeO nanocomposites that we synthesized are a potential adsorbent for the removal of heavy metals from water.
水资源中的砷(As(V))污染因其高毒性而带来重大的环境和公共健康风险。为应对这一挑战,我们合成并表征了新型还原氧化石墨烯/磁铁矿(rGO/FeO)纳米复合材料,它们是去除As(V)的高效吸附剂。采用共沉淀法,通过控制盐浓度(Fe:Fe)比,我们获得了三种不同尺寸的rGO/FeO纳米复合材料。对样品吸附能力的分析表明,吸附效率在90分钟内可达98.10%,吸附容量值达到20.55mg/g。此外,这些测试数据与准二级模型和朗缪尔模型都能很好地吻合,并在此基础上提出了吸附机理。这些结果表明,我们合成的rGO/FeO纳米复合材料是一种从水中去除重金属的潜在吸附剂。