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Related Experiment Video

Updated: Apr 4, 2026

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
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Molecular Engineered Supramolecular Systems: Advancing Bioimaging and Precision Diagnostics.

Junhua Zhang1, Qiao Song1, Panxing Qiu2

  • 1College of Chemistry, Central China Normal University, Wuhan, China.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|April 3, 2026
PubMed
Summary

Supramolecular systems offer advanced bioimaging and disease diagnostics by precisely detecting biomarkers. These programmable systems enhance precision medicine through selective capture and signal amplification in complex biological settings.

Keywords:
bioimagingcoordination‐driven supramolecular assembliescovalent supramolecular architectureshost–guest supramolecular interactions

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Area of Science:

  • Supramolecular chemistry
  • Biomedical engineering
  • Molecular diagnostics

Background:

  • Supramolecular systems are vital for bioimaging and disease diagnostics.
  • Precision medicine and molecular diagnostics drive demand for advanced detection methods.
  • These systems offer programmable recognition, dynamic reversibility, and responsiveness to biological environments.

Purpose of the Study:

  • To review recent advances in supramolecular strategies for disease biomarker recognition.
  • To highlight the potential of supramolecular systems in precision diagnostics and bioimaging.
  • To discuss applications in complex biological environments.

Main Methods:

  • Utilizing classical host-guest systems (cyclodextrins, cucurbiturils, pillararenes).
  • Employing supramolecular systems via covalent linkages.
  • Leveraging coordination-driven self-assembly strategies.
  • Focusing on selective biomarker capture and signal amplification.

Main Results:

  • Supramolecular systems enable selective capture and signal amplification of disease biomarkers.
  • Classical host-guest systems provide well-defined cavities for recognition.
  • Covalent and coordination-driven systems offer enhanced stability and multifunctionality.
  • These approaches expand capabilities in precision diagnostics and bioimaging.

Conclusions:

  • Supramolecular strategies are effective for disease-related biomarker recognition.
  • These systems hold significant potential for future diagnostic applications.
  • The programmability and responsiveness of supramolecular systems are key to their diagnostic utility.