氮掺杂碳材料的制备及催化降解苯酚废水实验研究

潘建, 潘顺龙, 刘志英, 刘珍雪, 徐炎华

现代化工 ›› 2020, Vol. 40 ›› Issue (11) : 131 -135.

PDF (2762KB)
现代化工 ›› 2020, Vol. 40 ›› Issue (11) : 131-135. DOI: 10.16606/j.cnki.issn0253-4320.2020.11.027
科研与开发

氮掺杂碳材料的制备及催化降解苯酚废水实验研究

    潘建, 潘顺龙, 刘志英, 刘珍雪, 徐炎华
作者信息 +

Preparation of nitrogen-doped carbon materials and application in catalytic degradation of phenol-containing wastewater

Author information +
文章历史 +
PDF (2827K)

摘要

以ZIF-67为前驱体并经过热解法制备ZIF-67衍生碳材料的催化剂,利用BET、XRD、SEM等分析方法对催化剂进行表征。结果表明,在700、800、900℃条件下制备的催化剂都形成了金属单质Co,形成包覆钴金属的氮掺杂多孔碳的结构,通过对比实验发现,800℃下制得的催化剂催化活性比在700、900℃下的高。同时设计了催化降解模拟苯酚废水的实验,结果表明,当苯酚初始质量浓度为50 mg/L、过一硫氢盐浓度为1.2 mmol/L、催化剂质量浓度为0.05 g/L、pH=9、反应时间为120 min时,苯酚和TOC的去除率分别为90.6%和82.3%;催化剂重复实验5次后,苯酚和TOC的去除率分别为76.4%和70.3%。

Abstract

ZIF-67 derived carbon material catalyst is prepared by pyrolysis method using ZIF-67 as the precursor.The catalyst is characterized by BET,XRD,SEM and other analytical methods.The results show that the catalysts prepared at 700℃,800℃ and 900℃ all form elemental Co,and forming a structure of nitrogen-doped porous carbon coated with cobalt metal.Through comparative experiments,it is found that the catalyst prepared at 800℃ has higher catalytic activity than that prepared at 700℃ and 900℃.An experiment is designed for catalytic degradation of simulated phenol wastewater,and the results show that the removal rates of phenol and TOC are 90.6% and 82.3%,respectively when the initial mass concentration of phenol is 50 mg·L-1,the concentration of persulfate is 1.2 mmol·L-1,the mass concentration of catalyst is 0.05 g·L-1,pH=9 and the reaction lasts for 120 min.After the catalyst has been used for 5 times,the removal rates of phenol and TOC are 76.4% and 70.3%,respectively.

关键词

类沸石咪唑酯骨架系列材料 / 苯酚 / PMS氧化 / 催化降解

Key words

zeolite-like imidazole ester framework materials / phenol / PMS oxidation / catalytic degradation

Author summay

潘建(1992-),男,硕士研究生,研究方向为环境水处理,1451517192@qq.com

引用本文

引用格式 ▾
氮掺杂碳材料的制备及催化降解苯酚废水实验研究[J]. 现代化工, 2020, 40(11): 131-135 DOI:10.16606/j.cnki.issn0253-4320.2020.11.027

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

AI Summary AI Mindmap
PDF (2762KB)

190

访问

0

被引

导航
相关文章

AI思维导图

/