分子桥连构筑氧化石墨烯膜及其吸附性能研究

高亚辉, 孙玉宇, 黄晶晶, 王芳, 鲁照帅, 刘晓煊, 朱欣荣, 郝程倩, 汤玲玲

化工新型材料 ›› 2023, Vol. 51 ›› Issue (3) : 84 -88.

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化工新型材料 ›› 2023, Vol. 51 ›› Issue (3) : 84-88. DOI: 10.19817/j.cnki.issn1006-3536.2023.03.015
新材料与新技术

分子桥连构筑氧化石墨烯膜及其吸附性能研究

    高亚辉, 孙玉宇, 黄晶晶, 王芳, 鲁照帅, 刘晓煊, 朱欣荣, 郝程倩, 汤玲玲
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Construction of graphene oxide membrane based on molecular bridging and its absorption properties

  • Gao Yahui, Sun Yuyu, Huang Jingjing, Wang Fang, Lu Zhaoshuai, Liu Xiaoxuan, Zhu Xinrong, Hao Chengqian, Tang Lingling
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摘要

基于一种分子桥策略制备了稳定的氧化石墨烯(GO)膜,通过分子中的胺基与GO片交联形成短链分子桥,以抵抗膜的膨胀倾向;再添加壳聚糖形成界面长链分子桥,将GO片粘附到多孔基材上,以增强膜的机械强度。运用一级动力学、二级动力学和颗粒内扩散模型考察了所制备GO膜对水中Cu2+的吸附能力。结果表明,GO膜对Cu2+的吸附过程符合二级动力学模型,在15min左右达到吸附速率平衡;颗粒内扩散是吸附过程的一部分,但不是控制吸附速率的唯一步骤。该研究为稳定GO膜的制备和在水环境领域的应用提供了一种通用、可扩展的新方法。

Abstract

In this paper,a stable GO membrane was prepared based on molecular bridge strategy.Through the cross-linking of dopamine and GO membrane,a short chain molecular bridge was formed to resist the expansion tendency of the membrane.Furthermore,an interfacial long-chain molecular bridge was obtained by adding chitosan,and the GO laminate was adhered onto a porous substrate to increase the mechanical strength of the membrane.The adsorption capacity of the prepared membrane to Cu2+ in water was studied by using the first-order kinetics,the second-order kinetics and the particle diffusion model.The results showed that the adsorption process of Cu2+ on GO membrane was in accordance with the second-order kinetic model,and reached the equilibrium of adsorption rate at about 15 minutes.The internal diffusion of particles was a part of the adsorption process,but not the only step to control the adsorption rate.The general and scalable approach was proposed for the preparation of stable GO membranes and application in aqueous environments.

关键词

分子桥 / 氧化石墨烯膜 / 长链分子桥 / 短链分子桥 / 吸附

Key words

molecular bridge / graphene oxide membrane / long chain molecular bridge / short chain molecular bridge / adsorption

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分子桥连构筑氧化石墨烯膜及其吸附性能研究[J]. 化工新型材料, 2023, 51(3): 84-88 DOI:10.19817/j.cnki.issn1006-3536.2023.03.015

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基金资助

国家自然科学基金(21968031);河南省科技攻关项目(222102240012);河南省高等学校重点科研项目(22A150048,20B150016);洛阳理工学院国家自然科学基金预研项目(2018YZ11)

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