4.5 Article

Validation and application of modeling algorithms for the design of molecularly imprinted polymers

期刊

JOURNAL OF SEPARATION SCIENCE
卷 37, 期 23, 页码 3579-3586

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201400799

关键词

Binding energies; Modeling algorithm; Molar ratios; Molecularly imprinted polymers

资金

  1. National Science Foundation for Distinguished Young Scholars of China [31225021]
  2. National Natural Science Foundation of China [31301462]
  3. National Basic Research Program (973) of China [2012CB720803]
  4. General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China
  5. Special Fund for Agro- scientific Research in the Public Interest, China [201203069]

向作者/读者索取更多资源

In the study, four different semiempirical algorithms, modified neglect of diatomic overlap, a reparameterization of Austin Model 1, complete neglect of differential overlap and typed neglect of differential overlap, have been applied for the energy optimization of template, monomer, and template-monomer complexes of imprinted polymers. For phosmet-, estrone-, and metolcarb-imprinted polymers, the binding energies of template-monomer complexes were calculated and the docking configures were assessed in different molar ratio of template/monomer. It was found that two algorithms were not suitable for calculating the binding energy in template-monomers complex system. For the other algorithms, the obtained optimum molar ratio of template and monomers were consistent with the experimental results. Therefore, two algorithms have been selected and applied for the preparation of enrofloxacin-imprinted polymers. Meanwhile using a different molar ratio of template and monomer, we prepared imprinted polymers and nonimprinted polymers, and evaluated the adsorption to template. It was verified that the experimental results were in good agreement with the modeling results. As a result, the semiempirical algorithm had certain feasibility in designing the preparation of imprinted polymers.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据