Suppr超能文献

制备用于从废水中分离高铼酸根/高锝酸根阴离子的多孔耐碱树脂。

Fabricating Porous Alkali-Resistant Resin for Segregation of Perrhenate/Pertechnetate Anions from Wastewater.

作者信息

Tong Juan, Hu Yichen, Zhang Yaowen, Hu Kesheng, Chang Beijia, Liu Tonghuan, Yang Junqiang, Shi Keliang

机构信息

School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China.

Frontier Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.

出版信息

Inorg Chem. 2024 Nov 11;63(45):21555-21566. doi: 10.1021/acs.inorgchem.4c03751. Epub 2024 Oct 31.

Abstract

The elimination of the β-emitting pertechnetate ion (TcO) from highly alkaline tank waste poses a daunting challenge that is of great significance for nuclear safety and environmental protection. Herein, we report a strategy to fabricate an alkaline-stable porous resin (PANPEI-MeCl) that features hyperbranched quaternary amine groups grafted on the surface and confined within the pores of a superhydrophobic polymer matrix synthesized by a one-pot method, exhibiting a clear superiority both in adsorption kinetics and efficiency compared with available commercial anion-exchange resins applying to TcO capture. Notably, the alkaline stability of the resin can be improved by manipulating the length of side chain alkyl groups, and it shows ultrahigh structural integrity and prominent performance toward acid/alkaline soaking, high-temperature calcination procedures, and high doses of ionizing radiation. Encouraged by its excellent peculiarity, PANPEI-MeCl can continuously capture most of the ReO from the simulated radioactive waste by using a sequential injection automatic separation system.

摘要

从高碱性罐式废料中去除发射β射线的高锝酸根离子(TcO)是一项艰巨的挑战,这对核安全和环境保护具有重要意义。在此,我们报告了一种制备碱性稳定多孔树脂(PANPEI-MeCl)的策略,该树脂具有接枝在表面并限制在通过一锅法合成的超疏水聚合物基质孔内的超支化季铵基团,与用于捕获TcO的市售阴离子交换树脂相比,在吸附动力学和效率方面均表现出明显优势。值得注意的是,通过控制侧链烷基的长度可以提高树脂的碱性稳定性,并且它在酸/碱浸泡、高温煅烧过程和高剂量电离辐射下表现出超高的结构完整性和卓越性能。受其优异特性的鼓舞,PANPEI-MeCl可以使用顺序注射自动分离系统从模拟放射性废料中连续捕获大部分ReO。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验