摘要
采用乙二胺(EDA)对氧化石墨烯(GO)进行化学还原,制得还原态氧化石墨烯(RGO)。在动态条件下,考察了溶液的流速、吸附床高度以及Pb2+溶液初始浓度对RGO吸附性能的影响。结合Bed-Depth-Services Time(BDST)模型对吸附床高度与穿透时间的实验数据进行线性拟合及评价,并预测新操作条件下的穿透时间。结果表明:随着Pb2+溶液初始质量浓度和流速增加,穿透时间缩短,去除率减小;而吸附床高度的增大,延长了穿透时间,也有利于提高去除率。BDST模型描述吸附床高度和穿透时间的关系较为准确,适用于预测新Pb2+溶液初始浓度条件下的穿透时间,误差在5%以内。
Reduced graphene oxide （RGO）was prepared by reducing graphene oxide （GO）with ethylenediamine （EDA）.The effects of flow speed,height of adsorbent-bed and initial concentration of Pb2＋on the adsorption properties of RGO were studied under dynamic condition.The height of adsorbent bed and the breakthrough time were linear fitted and the breakthrough time in a new condition was predicted by the Bed-Depth-Services Time （BDST）model.The results show that the breakthrough time is shortened and removal rate is decreased with the increase of the initial mass concentration of Pb2＋and flow speed;with the increase of height of adsorbent bed,the breakthrough time is lengthened,followed with the increase of removal rate.Via the BDST model,the relationship between the adsorbent-bed height and the breakthrough time can be well districted accurately,and the breakthrough time for new initial mass concentration of Pb2＋solution can be predicted,with the errors below 5%.
出处
《化学工程》
CAS
CSCD
北大核心
2014年第8期25-30,共6页
Chemical Engineering(China)
基金
教育部科学研究重点项目(211124)
湖南省大学生研究性学习和创新性实验计划项目(湘教通[2012]141号)
湖南省自然科学基金(11JJ3053)
湖南省教育厅青年项目(10B087)
