摘要
为获得高效处理酸性嫩黄G(AYG)废水方法,采用浸渍法制备载铁活性炭(Fe-AC)作为吸附剂,并采用傅里叶红外光谱、扫描电镜及比表面积方法对改性前后活性炭进行表征分析。研究采用Box-Behnken Design响应面分析了各因素及其交互作用对AYG的去除影响,并探讨了Fe-AC吸附处理AYG的机理。结果表明:3个因素对AYG去除影响的显著顺序为Fe-AC投加量>处理时间>pH。最佳处理条件:Fe-AC投加量为9.51g/L、处理时间为40.79 min、pH值为4.23。Fe-AC吸附AYG遵循准二级动力学模型,反应速率常数为0.0102~0.6193 g/(mg·min),吸附过程符合Temkin吸附等温模型。机理分析结果表明,Fe-AC含氧官能团增加,表面粗糙,比表面积及单点吸附总孔容增加,裂缝、凹陷丰富,存在多层吸附现象,为其吸附AYG提供了更多结合位点,更利于其与吸附质结合,增加其对AYG吸附量。
In order to obtain an efficient treatment method for acid light yellow G(AYG)wastewater,iron-loaded activated carbon(Fe-AC)was prepared by impregnation method as adsorbent,and the activated carbon before and after modification was characterized and analyzed by FTIR,SEM and BET.The Box-Behnken Design response surface was used to analyze the effects of various factors and their interactions on AYG removal,and the mechanism of Fe-AC adsorption treatment of AYG was discussed.Results showed that the significant order of the effects of three factors on AYG removal was Fe-AC dosage>processing time>pH.Optimal treatment conditions:Fe-AC dosage was 9.51 g/L,treatment time was 40.79 min,and pH value was 4.23.Fe-AC adsorption AYG followed the pseudosecond-order kinetic model,the reaction rate constant was 0.0102~0.6193 g/(mg·min),and the adsorption process conformed to the Temkin adsorption isothermal model.Results of mechanism analysis showed that the oxygen-containing functional groups of Fe-AC increased,the surface was rough,the specific surface area and the total pore volume of single-point adsorption increased,cracks and depressions were abundant,and there were multi-layer adsorption phenomena,which provided more binding sites for its adsorption of AYG,which was more conducive to its combination with adsorbate and increased its adsorption capacity for AYG.
作者
赵博宇
张羽彤
姜宇彤
李晓悦
肖鹏飞
吴德东
ZHAO Boyu;ZHANG Yutong;JIANG Yutong;LI Xiaoyue;XIAO Pengfei;WU Dedong(School of Forestry,Northeast Forestry University,Harbin 150040,China)
出处
《净水技术》
CAS
2024年第5期133-142,共10页
Water Purification Technology
基金
黑龙江省生态环境保护科研项目(HST2022NC005)
黑龙江省大学生创新项目(S202210225358)
黑龙江省博士后基金项目(LBH-Z21085)。
