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Urease-Powered Micromotors with Spatially Selective Distribution of Enzymes for Capturing and Sensing Exosomes.

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Enzyme Catalysis

Background:

  • Enzyme-catalyzed micro/nanomotors (MNMs) offer biocompatibility and versatility for biological applications.
  • Enzyme-generated flow fields can negatively impact the binding efficiency of surface-functionalized MNMs.
  • Exosome isolation and sensing are critical in diagnostics but face challenges with current MNM designs.

Purpose of the Study:

  • To develop enzymatic micromotors with spatially segregated urease for enhanced exosome capture and sensing.
  • To investigate the impact of internal urease localization on micromotor performance and binding efficiency.
  • To enable independent operation of driving and functional modules within micromotors.

Main Methods:

  • Modification of micromotors with spatially selective distribution of urease within the motor's cavity.
  • Utilizing urease-catalyzed reactions to generate propulsion while minimizing external flow field effects.
  • Employing surface-enhanced Raman scattering (SERS) with gold nanoshells for exosome detection and identification.
  • Comparing binding efficiency of internally modified vs. externally modified and static micromotors.

Main Results:

  • Micromotors with internally localized urease showed approximately 35% enhanced binding efficiency compared to static counterparts.
  • Internally modified micromotors demonstrated an 18% improvement in binding efficiency over externally modified ones.
  • Spatially separating the enzyme catalysis from the exterior surface significantly improved cargo capture.

Conclusions:

  • Enzymatic micromotors with spatially separated driving and functional modules enhance exosome capture and sensing capabilities.
  • Internal localization of urease effectively mitigates flow field interference, boosting binding efficiency.
  • These multifunctional micromotors show significant promise for advanced biomedical diagnostics and isolation techniques.