Diffusion dynamics and concentration of toxic materials from quantum dots-based nanotechnologies: an agent-based modeling simulation framework

Datu Buyung Agusdinata, Mahbod Amouie, Tao Xu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Due to their favorable electrical and optical properties, quantum dots (QDs) nanostructures have found numerous applications including nanomedicine and photovoltaic cells. However, increased future production, use, and disposal of engineered QD products also raise concerns about their potential environmental impacts. The objective of this work is to establish a modeling framework for predicting the diffusion dynamics and concentration of toxic materials released from Trioctylphosphine oxide-capped CdSe. To this end, an agent-based model simulation with reaction kinetics and Brownian motion dynamics was developed. Reaction kinetics is used to model the stability of surface capping agent particularly due to oxidation process. The diffusion of toxic Cd2+ ions in aquatic environment was simulated using an adapted Brownian motion algorithm. A calibrated parameter to reflect sensitivity to reaction rate is proposed. The model output demonstrates the stochastic spatial distribution of toxic Cd2+ ions under different values of proxy environmental factor parameters. With the only chemistry considered was oxidation, the simulation was able to replicate Cd2+ ion release from Thiol-capped QDs in aerated water. The agent-based method is the first to be developed in the QDs application domain. It adds both simplicity of the solubility and rate of release of Cd2+ ions and complexity of tracking of individual atoms of Cd at the same time.

Original languageEnglish (US)
JournalJournal of Nanoparticle Research
Volume17
Issue number1
DOIs
StatePublished - Jan 2015
Externally publishedYes

Keywords

  • Agent-based modeling simulation
  • Diffusion dynamics
  • Environmental and health effects
  • Nanomedicine
  • Quantum dots

ASJC Scopus subject areas

  • Bioengineering
  • General Chemistry
  • Atomic and Molecular Physics, and Optics
  • Modeling and Simulation
  • General Materials Science
  • Condensed Matter Physics

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