Autocatalytic Nucleation and Self-Assembly of Inorganic Nanoparticles into Complex Biosimilar Networks

Area of Science:

• Materials Science
• Nanotechnology
• Prebiotic Chemistry

Background:

• Self-replication is a known process for bioorganic molecules and oil microdroplets.
• Autocatalytic nucleation in inorganic nanomaterials is largely unexplored.
• Creating complex self-assembled structures from inorganic nanoparticles is a significant challenge.

Purpose of the Study:

• To demonstrate autocatalytic nucleation in inorganic nanoparticles.
• To investigate the self-assembly of these nanoparticles into complex structures.
• To analyze the complexity of the resulting structures using graph theory.

Main Methods:

• Utilized silver nanoparticles for autocatalytic nucleation experiments.
• Observed self-assembly into chains and complex colloids with hierarchical organization.
• Analyzed nanoparticle networks and spiky colloids using graph theory (GT).

Main Results:

• Successfully demonstrated autocatalytic nucleation and self-assembly in silver nanoparticles.
• Observed formation of hierarchical structures, including spiky colloids and conformal networks.
• Graph theory analysis revealed complexity comparable to algal skeletons and similarities to bacterial biofilms.

Conclusions:

• Coupling autocatalytic nucleation with self-assembly generates complex, biosimilar particles and films.
• Established mathematical and structural parallels between biotic and abiotic matter.
• Opens possibilities for biomimetic engineering of advanced nanostructures using graph theory.