UiO-66改性对正己烷的吸附性能研究

徐奥, 李旭飞, 黄维秋*

化工新型材料 ›› 2022, Vol. 50 ›› Issue (1) : 211 -216.

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化工新型材料 ›› 2022, Vol. 50 ›› Issue (1) : 211-216. DOI: 10.19817/j.cnki.issn1006-3536.2022.01.043
科学研究

UiO-66改性对正己烷的吸附性能研究

    徐奥, 李旭飞, 黄维秋*
作者信息 +

Study on performance of UiO-66 modified adsorbent to n-hexane

  • Xu Ao, Li Xufei, Huang Weiqiu
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摘要

石化行业及生产生活中不可避免的排放挥发性有机物(VOCs),油气是常见的VOCs来源,其主要轻质组分是己烷。吸附法是常见的去除VOCs的方法,成本低效率高。为了提升吸附剂的吸附效率,使用溶剂热法制备了UiO-66和UiO-66-NH2,并使用苯甲酸进行缺陷合成改变其孔结构与比表面积,并对其进行了77K氮气(N2)、273K CO2吸附测试,通过X射线衍射、扫描电子显微镜以及热重分析等手段进行表征分析。在30℃、80℃、120℃这3个典型温度下进行正己烷吸附测试及耐久性测试。结果表明:所制UiO-66的BET比表面积可高达1688.57m2/g,1:20当量苯甲酸改性UiO-66吸附容量高达4.47mmol/g,且具有优秀的稳定性。随着温度变化,不同孔径分布在不同温度环境下的吸附剂性能衰减不同。

Abstract

Volatile organic compounds (VOCs) are inevitably emitted in the petrochemical industry,production and vapor.Oil vapor is a common source of VOCs and its main light component is hexane.The adsorption method is a common method to remove VOCs with low cost and high efficiency.In order to improve the adsorption efficiency of the adsorbent,UiO-66 and UiO-66-NH2 were prepared by solvothermal method,and benzoic acid was used for defect synthesis to change their pore structure and specific surface area.The samples were characteried by 77K nitrogen(N2),273K carbon dioxide(CO2) adsorption,X-ray diffraction(XRD),scanning electron microscope observation (SEM) and thermogravimetric analysis (TG).The n-hexane adsorption test and durability test were performed at three typical temperatures of 30℃,80℃,and 120℃.The results shown that the BET specific surface area of the prepared UiO-66 can be as high as 1688.57m2/g,the adsorption capacity was as high as 4.47mmol/g and it had excellent stability.As the temperature changes,the performance degradation of adsorbents with different pore size distributions in different temperature environments was varied.

关键词

UiO-66 / 苯甲酸 / 正己烷 / 吸附 / 缺陷合成 / 孔径

Key words

UiO-66 / benzoic acid / n-hexane / adsorption / defect synthesis / pore size

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UiO-66改性对正己烷的吸附性能研究[J]. 化工新型材料, 2022, 50(1): 211-216 DOI:10.19817/j.cnki.issn1006-3536.2022.01.043

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基金资助

国家自然科学基金(51574044);江苏省重点研发计划(产业前瞻与共性关键技术)重点项目(BE2018065)

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