Molecular imprinting: perspectives and applications.

By Lingxin Chen, Xiaoyan Wang, Wenhui Lu, Xiaqing Wu, Jinhua Li. Chemical Society Reviews, 2016

1,876 citations recorded by the source corpus.

Molecular imprinting technology (MIT), often described as a method of making a molecular lock to match a molecular key, is a technique for the creation of molecularly imprinted polymers (MIPs) with tailor-made binding sites complementary to the template molecules in shape, size and functional groups. Owing to their unique features of structure predictability, recognition specificity and application universality, MIPs have found a wide range of applications in various fields. Herein, we propose to comprehensively review the recent advances in molecular imprinting including versatile perspectives and applications, concerning novel preparation technologies and strategies of MIT, and highlight the applications of MIPs. The fundamentals of MIPs involving essential elements, preparation procedures and characterization methods are briefly outlined. Smart MIT for MIPs is especially highlighted including ingenious MIT (surface imprinting, nanoimprinting, etc.), special strategies of MIT (dummy imprinting, segment imprinting, etc.) and stimuli-responsive MIT (single/dual/multi-responsive technology). By virtue of smart MIT, new formatted MIPs gain popularity for versatile applications, including sample pretreatment/chromatographic separation (solid phase extraction, monolithic column chromatography, etc.) and chemical/biological sensing (electrochemical sensing, fluorescence sensing, etc.). Finally, we propose the remaining challenges and future perspectives to accelerate the development of MIT, and to utilize it for further developing versatile MIPs with a wide range of applications (650 references).

Subfields: Analytical Chemistry, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/410d02264e81d991819a45c2fdd14d0a29a1616d

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In Analytical Chemistry

  1. Lingxin Chen
  2. Jinhua Li
  3. Yangjun Ding
  4. Shasha Wang
  5. Sanjukta Patra
  6. Satyam Satyam

In Biomedical Engineering

  1. Jinhua Li
  2. Lingxin Chen

In Molecular Biology

  1. Yangjun Ding
  2. Shasha Wang
  3. Jinhua Li
  4. Lingxin Chen
  5. C. Pham-Huy
  6. Hua-Dong He

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