Chemical Industry and Engineering Progress ›› 2018, Vol. 37 ›› Issue (08): 3252-3259.DOI: 10.16085/j.issn.1000-6613.2017-2476

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Correlation between pore-size distribution of carbonaceous sorbent and the separation of organic components in coking wastewater

WANG Feng1, KONG Qiaoping1, ZHOU Hongtao1, FU Bingbing1, WU Haizhen2, REN Yuan1,3, WEI Chaohai1,3   

  1. 1 School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China;
    2 School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China;
    3 Key Laboratory of Pollution Control and Ecological Restoration in Industry Clusters, Ministry of Education, Guangzhou 510006, Guangdong, China
  • Received:2017-12-01 Revised:2018-01-25 Online:2018-08-05 Published:2018-08-05

炭质吸附剂孔径分布与焦化废水有机组分分离的相关性

王丰1, 孔巧平1, 周红桃1, 付炳炳1, 吴海珍2, 任源1,3, 韦朝海1,3   

  1. 1 华南理工大学环境与能源学院, 广东 广州 510006;
    2 华南理工大学生物科学与工程学院, 广东 广州 510006;
    3 工业聚集区污染控制与生态修复教育部重点实验室, 广东 广州 510006
  • 通讯作者: 吴海珍,博士,副教授,主要研究方向为废水生物处理技术。
  • 作者简介:王丰(1990-),男,硕士研究生。
  • 基金资助:
    国家自然科学基金(21377040,51778238)、广东省应用型科技研发专项(2015B020235005)及广东省科技计划(2015A020215008)项目。

Abstract: Four kinds of carbonaceous sorbents including wood (A1), coconut shell (A2), coal (A3) and coke (H), with different pore structures were selected for the static adsorption of total organic carbon (TOC) in coking wastewater. The influences of adsorption capacity, molecular weight and other factors on the adsorption performance were investigated. For the purpose of fully understand the correlation between surface chemical properties and pore size distribution of carbonaceous sorbents and its adsorption performance toward coking wastewater, the adsorbents were characterized by Fourier transform infrared spectrometer(FTIR), Brunauer-Emmett-Teller (BET) and other analysis means. The results showed that the above four adsorbents had similar surface characteristics. Pore structures of adsorbents were the main factors that affected the adsorption performance. BET surface areas:A1(1723.59m2/g) > H(1716.19m2/g) > A2(911.55m2/g) > A3(505.23m2/g), average pore diameter:A1(5.14nm) > H(5.02nm) > A3(3.81nm) > A2(3.45nm). The adsorption behavior could be well described by Redlich-Peterson adsorption isotherm equation. The investigation about the molecular weight distribution, UV254, SUVA, and EEMs indicated that A1 and A2 with large micropore area preferentially adsorbed low molecular weight organics, while A3 and H could refractory high molecular weight organics, reducing aromatic structure degree of coking wastewater; 94.29% organic matter in the TOC of coking wastewater was less than 10000. Carbonaceous sorbent with micropores(< 2nm)and small mesopores(2-10nm)were more suitable for the treatment of coking wastewater. All these findings indicated that correlation was existed in the pore structure, pore size of the sorbent material and properties of coking wastewater as well as the molecular structure of organic matter. Therefore, adsorption and separation process with optimization of wastewater pretreatment can be achieved by matching the properties of sorbent and wastewater.

Key words: coking wastewater, carbonaceous sorbent, pore-size distribution, adsorption capacity, selectivity

摘要: 选取4种孔隙结构不同的炭质吸附剂木质(A1)、椰壳(A2)、煤质(A3)和焦炭(H)吸附焦化废水中的总有机碳(TOC)成分,考察吸附性能、分子量大小等因素对吸附效果的影响,同时利用傅里叶红外光谱、比表面积及介孔/微孔分析仪对吸附剂进行表征,探究吸附剂表面化学性质和孔径分布对焦化废水吸附差异相关性。结果表明:4种吸附剂表面性质相近,孔隙结构不同是其吸附性能差异的主要因素。比表面积:A1(1723.59m2/g) > H(1716.19m2/g) > A2(911.55m2/g) > A3(505.23m2/g),平均孔径:A1(5.14nm) > H(5.02nm) > A3(3.81nm) > A2(3.45nm)。Redlich-Peterson吸附等温线方程能更好地拟合吸附数据。分子量分布、UV254、SUVA和EEMs说明微孔面积较大的A1和A2优先吸附低分子量(< 1000)有机物,A3和H能够回收高分子量(1000~0.45μm)有机物,降低废水芳香构造化程度。焦化废水TOC中94.29%的有机物分子量小于10000,微孔(< 2nm)和较小中孔(2~10nm)更适合用焦化废水吸附处理。上述研究指出,吸附材料、孔结构与孔径分布、焦化废水性质、有机物分子结构之间存在相关性,通过性质的匹配来实现废水预处理优化的吸附分离工艺。

关键词: 焦化废水, 炭质吸附剂, 孔径分布, 吸附性能, 选择性

CLC Number: 

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