Journal of Sol-Gel Science and Technology

, Volume 66, Issue 1, pp 59–67 | Cite as

Preparation and characterization of molecularly imprinted organic–inorganic hybrid materials by sol–gel processing for selective recognition of ibuprofen



This work adopted semi-covalent imprinting to prepare molecularly imprinted polymers (MIP) with ibuprofen, a non-steroidal anti-inflammatory drug, as template by sol–gel processing, which is characterized by both the high affinity of covalent binding and the mild operation conditions of non-covalent rebinding. A functional monomer, which was used to synthesize the monomer-imprinted molecule complex, was prepared by multi-step synthesis for the first time. MIP was characterized by Fourier transform IR spectrum and nitrogen adsorption. Thin-layer chromatography separation was used to evaluate the specific molecular recognition ability of MIP. In addition, dynamic and thermodynamic studies on MIP imprinting ibuprofen were undertaken. The results of equilibrium rebinding experiments showed that MIP exhibited good adsorption capacity for ibuprofen. Scatchard analysis illustrated that the template-polymer system shows only one-site binding behavior with a dissociation constant of 1.84 mmol L−1. Dynamic adsorption exhibited pseudo-second-order kinetics. The positive value of ΔHθ and the negative values of ΔGθ demonstrated that the binding system for MIP is endothermic and spontaneous.


Semi-covalent imprinting Ibuprofen Sol–gel processing Thin-layer chromatography Pseudo-second-order kinetics 



The project is sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry and National Natural Science Foundation of China (21276283).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Ling Zhou
    • 1
  • Yanyue Kong
    • 1
  • Shian Zhong
    • 1
  • Xiaorun Zhou
    • 1
  1. 1.School of Chemistry and Chemical EngineeringCentral South UniversityChangshaPeople’s Republic of China

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