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Transmutable nanoparticles with reconfigurable surface ligands.

Youngeun Kim1, Robert J Macfarlane2, Matthew R Jones1

  • 1Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA. International Institute of Nanotechnology, Northwestern University, Evanston, IL 60208, USA.

Science (New York, N.Y.)
|February 26, 2016
PubMed
Summary
This summary is machine-generated.

Researchers developed "transmutable nanoparticles" with dynamic surface ligands. These nanoparticles can be programmed to change their bonding in response to chemical cues, enabling controlled crystallization and material evolution.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Biomimetic Chemistry

Background:

  • Biological systems exhibit remarkable responsiveness to environmental stimuli through molecular interactions.
  • Conventional inorganic materials lack dynamic adaptability and programmed responses seen in biological systems.

Purpose of the Study:

  • To design and synthesize inorganic nanoparticles that mimic biological responsiveness.
  • To achieve rational control over the assembly and phase evolution of nanoparticle-based materials.

Main Methods:

  • Synthesis of nanoparticles functionalized with reconfigurable surface ligands.
  • Programming interparticle bonding in response to specific chemical cues.
  • Observation of nanoparticle crystallization along multiple thermodynamic trajectories.

Main Results:

  • Demonstrated the creation of
  • transmutable nanoparticles
  • with dynamic and programmable surface interactions.
  • Achieved rational control over the phase and time evolution of nanoparticle assemblies.
  • Enabled crystallization along multiple thermodynamic pathways based on chemical inputs.

Conclusions:

  • The developed transmutable nanoparticles offer a novel platform for creating adaptive inorganic materials.
  • This approach bridges principles of biological responsiveness with inorganic material design.
  • Future applications include dynamic materials with programmable self-assembly and responsive properties.