arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2208.01435cond-mat.mtrl-sci
收藏

还原氧化石墨烯高效选择性萃取金

Highly Efficient and Selective Extraction of Gold by Reduced Graphene Oxide

Fei Li, Jiuyi Zhu, Pengzhan Sun, Mingrui Zhang, Zhenqing Li, Dingxin Xu, Xinyu Gong, Xiaolong Zou, A. K. Geim, Yang Su, Hui-Ming Cheng

摘要:

为了实现黄金资源的可持续性和有效的电子废物回收利用,需要能够从复杂来源,特别是电子废物(电子废物)中高效提取黄金的材料。然而,实现对痕量金的高提取能力以及对广泛范围的复杂共存元素的金的精确选择性仍然具有挑战性。在这里,我们报告了一种还原氧化石墨烯(rGO)材料,其具有对痕量金(1,850 mg/g和1,180 mg/g至10 ppm和1 ppm金)的微量提取能力。优异的金提取行为归因于rGO的石墨烯区域和氧化区域。石墨烯区域自发地将金离子还原为金属金,并且氧化区域提供良好的介电性,使得石墨烯区域可以实现金离子的高效吸附和还原。rGO对金离子也具有高度选择性。通过控制rGO氧化区域上的官能团的质子化过程,它显示了一种独特的金提取,而不吸附电子废物中的14种共存元素。这些发现被进一步用于从电子废物中高效、连续地回收金,具有良好的可扩展性和经济可行性,例如使用基于rGO膜的流通工艺从电子废物中提取金。

英文摘要:

Materials that are capable of extracting gold from complex sources, especially electronic waste (e-waste) with high efficiency are needed for gold resource sustainability and effective e-waste recycling. However, it remains challenging to achieve high extraction capacity to trace amount of gold, and precise selectivity to gold over a wide range of complex co-existing elements. Here we report a reduced graphene oxide (rGO) material that has an ultrahigh extraction capacity for trace amounts of gold (1,850 mg/g and 1,180 mg/g to 10 ppm and 1 ppm gold). The excellent gold extraction behavior is accounted to the graphene areas and oxidized regions of rGO. The graphene areas spontaneously reduce gold ions to metallic gold, and the oxidized regions provide a good dispersibility so that efficient adsorption and reduction of gold ions by the graphene area can be realized. The rGO is also highly selective to gold ions. By controlling the protonation process of the functional groups on the oxidized regions of rGO, it shows an exclusive gold extraction without adsorption of 14 co-existing elements seen in e-waste. These discoveries are further exploited in highly efficient, continuous gold recycling from e-waste with good scalability and economic viability, as exemplified by extracting gold from e-waste using a rGO membrane based flow-through process.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑