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Multiple-Enzyme Graphene Microparticle Presenting Adaptive Chemical Network Capabilities.

Xiangming Li1, Zequn Ma1, Yihe Zhang1

  • 1Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Materials Sciences and Technology , China University of Geosciences , Beijing 100083 , P. R. China.

ACS Applied Materials & Interfaces
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Summary

Researchers developed new enzyme-based particles capable of complex network reactions. These particles, assembled using graphene and polyelectrolytes, offer stimuli-responsive control and enhanced stability, paving the way for intelligent microparticles.

Keywords:
NIR-responsivegraphenelayer-by-layerprotein particlesreaction network

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Area of Science:

  • Biomimetic materials science
  • Enzyme engineering
  • Nanotechnology

Background:

  • Cellular reaction networks exhibit complex behaviors like adaptation and stimuli-responsiveness.
  • Artificial enzyme particles lack network-level capabilities due to challenges in enzyme immobilization and assembly.
  • Existing artificial systems struggle to replicate the sophisticated functions of natural enzyme networks.

Purpose of the Study:

  • To develop a general strategy for preparing enzyme-based particles with network reaction capabilities.
  • To create artificial enzyme particles that mimic the advanced functions of natural cellular reaction networks.
  • To investigate stimuli-responsive control and enhanced robustness of assembled enzyme systems.

Main Methods:

  • Assembled multiple enzyme types using a nanoscopic binder composed of polyelectrolyte and graphene.
  • Utilized Near-Infrared (NIR) irradiation to modulate enzyme catalytic activity.
  • Employed biomimetic mineralization to encapsulate protein complexes within a Metal-Organic Framework (MOF) shell.

Main Results:

  • Enzymes retained their catalytic capabilities after assembly.
  • Assembled particles demonstrated network-reaction capabilities.
  • NIR irradiation allowed for quasi-reversible control over catalytic activity.
  • MOF-shelled particles exhibited enhanced robustness and sustained catalytic activity in acidic and basic conditions.

Conclusions:

  • The study provides a novel method for creating functional enzyme particles with network properties.
  • The developed particles show potential for stimuli-responsive behavior and complex task execution.
  • This work advances the understanding of artificial reaction networks and intelligent microparticle design.