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四溴双酚A表面印迹聚合物的制备及吸附性能研究
  • ISSN号:1001-7011
  • 期刊名称:《黑龙江大学自然科学学报》
  • 时间:0
  • 分类:O631.5[理学—高分子化学;理学—化学] O658.2[理学—分析化学;理学—化学]
  • 作者机构:[1]南京医科大学药学院,南京211166
  • 相关基金:国家自然科学基金资助项目(20777038)
中文摘要:

采用溶胶-凝胶法在纳米硅胶球表面制备四溴双酚A(TBBPA)的印迹聚合物(MIPs)。优化TBBPA—MIPs的合成条件,采用透射电镜和傅立叶变换红外光谱仪研究所制备的聚合物合成情况,并通过吸附试验考察其吸附性能。TBBPA—MIPs球分散性好,粒径均匀,印迹层厚度约为30nm。该MIPs对TBBPA表现出了较大的吸附容量、较快的吸附速度和良好的选择性。其最大吸附容量为183μmol·g^-1,是非印迹聚合物(NIPs)的3.2倍,在20min内达到吸附平衡,在TBBPA及其类似物的混合溶液中能够选择性地吸附TBBPA。同时,TBBPA—MIPs在水中对TBBPA也有很好的吸附效果,MIPs作为水处理剂用于净化被TBBPA污染的水样的能力要好于NIPs和商品化的C18。合成的MIPs对TBBPA具有良好的吸附亲和性和高度的特异选择性。

英文摘要:

Tetrabromobisphenol A (TBBPA) imprinted polymers were prepared with a sol-gel process on the surface of silica nanospheres. The synthesis of the molecularly imprinted polymers (MIPs) was optimized. Transmission electron microscopy and Fourier transform infrared spectroscopy were used to ascertain the MIPs. The adsorption properties of the MIPs were also investigated. The TBBPA-MIPs were uniformly dispersed and the imprinted thick- ness was ca 30 nm. Compared to the non-imprinted polymers (NIPs) , the MIPs had larger adsorption, faster bind- ing and higher selectivity for the TBBPA in toluene. The maximum adsorption capacity of the MIPs for the TBBPA was 183 μmol · g^-1, which was ca. 3.2 times as the NIPs' (57 μmol · g^-1 ) . The MIPs could reach adsorption equilibrium in 20 min, which showed fast binding for the TBBPA. By comparison, it was found that the MIPs could selectively adsorb TBBPA from the mixture of the TBBPA and three structural analogues. In addition, the MIPs were applied to purify the TBBPA contaminated water with a desirable result. The prepared TBBPA-MIPs had superior properties and could be potentially used to clear the TBBPA in environmental water.

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期刊信息
  • 《黑龙江大学自然科学学报》
  • 北大核心期刊(2011版)
  • 主管单位:黑龙江省教育厅
  • 主办单位:黑龙江大学
  • 主编:霍丽华
  • 地址:哈尔滨市学府路74号
  • 邮编:150080
  • 邮箱:hdxb@vip.sohu.com
  • 电话:0451-86608818
  • 国际标准刊号:ISSN:1001-7011
  • 国内统一刊号:ISSN:23-1181/N
  • 邮发代号:14-114
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:4204