Agibayeva Laura, Melnikov Yevgeniy, Berdaly Ayakoz, Kondaurov Ruslan
Biochemical Engineering Department, International Engineering and Technological University, Al-Farabi Ave. 93a, 050060 Almaty, Kazakhstan.
Faculty of Chemistry and Chemical Technology, Al-Farabi Kazakh National University, Al-Farabi Ave. 71, 050040 Almaty, Kazakhstan.
Polymers (Basel). 2025 May 19;17(10):1398. doi: 10.3390/polym17101398.
Molecularly imprinted polymers (MIPs) as well as non-imprinted polymers (NIPs) were synthesized for selective sorption of lead and terbium. The ratio of raw monomers for the terbium-MIPs' synthesis was optimized based on the results of the synthesis of lead-MIP. It was found that the molar ratio of template/monomer/monomer/cross-linker = 1:5:5:8 was the most accurate for successful synthesis of the target MIP. As a result, the yields of the MIP and NIP on terbium were 59.3% and 61.2%, respectively. The structure of the imprinted samples was determined by FTIR spectroscopy. SEM analysis of the imprinted structures showed that the Tb-MIP contained a large number of pores compared to the NIP. The size of these pores ranged from 0.779 μm to 1.874 μm. The results of sorption experiments showed that the adsorption efficiency of Tb-MIP was seven times higher than that of NIP: the sorption degree was 70.80% for MIP and 9.95% for NIP. The imprinting factor was calculated and was equal to 7.06. The sorption process was described by the Radushkevich and pseudo-second-order kinetic models. It was shown that sorption by NIP occurred with a fast saturation of a lower Tb concentration, and the MIP's sorption passed slower and more efficiently. The desorption degrees of Tb-MIP and NIP were 90.15% and 52.67%, respectively.
合成了分子印迹聚合物（MIP）以及非印迹聚合物（NIP），用于选择性吸附铅和铽。基于铅-MIP的合成结果，优化了铽-MIP合成中原料单体的比例。发现模板/单体/单体/交联剂的摩尔比为1:5:5:8最适合成功合成目标MIP。结果，铽-MIP和铽-NIP的产率分别为59.3%和61.2%。通过傅里叶变换红外光谱（FTIR）确定了印迹样品的结构。对印迹结构的扫描电子显微镜（SEM）分析表明，与NIP相比，Tb-MIP含有大量孔隙。这些孔隙的尺寸范围为0.779μm至1.874μm。吸附实验结果表明，Tb-MIP的吸附效率比NIP高7倍：MIP的吸附程度为70.80%，NIP为9.95%。计算得到的印迹因子等于7.06。吸附过程用拉杜什凯维奇和伪二级动力学模型进行描述。结果表明，NIP的吸附在较低铽浓度下快速饱和，而MIP的吸附过程较慢但更有效。Tb-MIP和NIP的解吸程度分别为90.15%和52.67%。
