Size of heparin-imprinted nanoparticles reflects the matched interactions with the target molecule

Yasuo Yoshimi, Daichi Oino, Hirofumi Ohira, Hitoshi Muguruma, Ewa Moczko, Sergey A. Piletsky

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


It has been shown that the faradic current at an electrode grafted with molecularly imprinted polymer (MIP) is sensitive to the specific target molecule used as the template. This phenomenon is applicable to sensors with very high selectivity, but the sensing mechanism is still a black box. We investigated the size sensitivity of nanoparticles of molecularly imprinted polymers (MIP-NPs) to a specific interaction for determination of the mechanism of the gate effect and its feasibility for new applications. Nanoparticles of poly(methacryloxy ethyl trimethylammonium chloride-co-acrylamide-co-methylenebisacrylamide) imprinted with heparin immobilized on glass beads were synthesized. The diameter of the MIP-NPs of heparin was increased by the presence of the heparin template but was insensitive to chondroitin sulfate C (CSC), the analogue of heparin. The high selectivity of the MIP-NPs was consistent with the selectivity of electrodes grafted with a heparin-imprinted polymer in our previous studies. The quartz crystal microbalance probes immobilizing heparin or CSC were sensitive to MIP-NPs, which indicates that the binding ability of MIP-NP does not discriminate between the template and other glycosaminoglycans. These results indicate that the size of the MIP-NP is sensitive to the matched binding with the template through the imprinted cavity.

Original languageEnglish
Article number2415
Issue number10
StatePublished - 2 May 2019
Externally publishedYes


  • Dynamic light scattering
  • Molecularly imprinted polymer
  • Nanoparticles
  • Quartz crystal microbalance
  • Zeta potential


Dive into the research topics of 'Size of heparin-imprinted nanoparticles reflects the matched interactions with the target molecule'. Together they form a unique fingerprint.

Cite this