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Progress in Chemistry 2011, Vol. 23 Issue (10): 2095-2102 Previous Articles   Next Articles

• Review •

Supramolecular Fuzzy Recognition

Wan Decheng*, Jin Ming, Pu Hongting   

  1. Institute of Functional Polymers, School of Materials Science and Technology, Tongji University, Shanghai 200092, China
  • Received: Revised: Online: Published:
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In supramolecular host-guest systems, recognition promoted by specific interaction such as multiple H-bond, topological trapping, metal-ligand interaction is generally highly selective. But the host should be rigorously tailored in size, morphology and electronic environment so that completely complementary interaction is possible, meanwhile, mainly those guests with topological or electronic feature can be well recognized. Such a mechanism is called static molecular recognition (SMR). On the other hand, core-shell amphiphilic macromolecule (CAM) derived from hyperbranched polymer is readily available but shows wide guest affinities. Recent research, however, shows that appropriate core engineering of a CAM can lead to highly selective guest encapsulation because the difference of the guest species can be amplified, while CAM is featured by the dense and randomly distributed functional groups in the core, which render it readily tailorable. Such a recognition mechanism which is based on the nonlinearity of a complex system does not need to be promoted by a specific interaction,and is applicable to the recognition of complex molecules, thus is called supramolecular fuzzy recognition. Experiments have shown that a variety of ionic guest species can be effectively separated, including those which are topologically and electronically similar species. In this article, the mechanism, feature and application of supramolecular fuzzy recognition are reviewed.

Contents
1 Introduction
2 Highly specific molecular recognition promoted by specific interaction
3 Supramolecular fuzzy recognition
4 Conclusions and outlook

Key words: nanocapsules, supramolecular chemistry, separation, fuzzy recognition, molecular recognition

CLC Number: 

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Abstract

Supramolecular Fuzzy Recognition