Department of Chemistry, Natural Sciences Complex, University at Buffalo, The State University of New York, Buffalo, NY 14260-3000, United States.
Anal Chim Acta. 2011 Jan 17;684(1-2):63-71. doi: 10.1016/j.aca.2010.11.005. Epub 2010 Nov 10.
A series of silica-based tetracycline (TC)-imprinted xerogel sorbents were prepared by sol-gel processing and were characterized for TC binding. Molecularly imprinted xerogels (MIXs) formed from allyltriethoxysilane (AtEOS) and tetraethoxysilane (TEOS) and end capped with trimethylchlorosilane exhibited the best analytical performance (imprinting factor, IF, of 7.46±0.13). Computational modeling was used to estimate the interaction energy (IE) between TC and each type of silane to evaluate our ability to predict the analytical performance of a given MIX. Rankings from the computations agreed with the experimental data showing the AtEOS having the highest IE in comparison to the other formulations. Together, these results demonstrate the potential and limitations of using theoretical calculations to guide the development of analyte selective MIXs in comparison to arbitrary trial and error approaches traditionally used to produce MIXs as sorbents for solid phase extraction.
一系列基于硅胶的四环素(TC)印迹干凝胶吸附剂是通过溶胶-凝胶法制备的,并对其 TC 结合性能进行了表征。由烯丙基三乙氧基硅烷(AtEOS)和四乙氧基硅烷(TEOS)形成并经三甲基氯硅烷封端的分子印迹干凝胶(MIX)表现出最佳的分析性能(印迹因子 IF 为 7.46±0.13)。计算建模用于估计 TC 与每种硅烷之间的相互作用能(IE),以评估我们预测给定 MIX 分析性能的能力。计算结果的排序与实验数据一致,表明与其他配方相比,AtEOS 的 IE 最高。这些结果共同表明,与传统上用于制备固相萃取用 MIX 吸附剂的任意尝试和错误方法相比,使用理论计算来指导分析物选择性 MIX 的开发具有潜力和局限性。