Modeling the Kinetic Behavior of Reactive Oxygen Species with Cerium Dioxide Nanoparticles.
Clicks: 255
ID: 37629
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
255 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #38 of 99 articles by views in Biomolecules
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The world of medicinal therapies has been historically, and remains to be, dominated by the use of elegant organic molecular structures. Now, a novel medical treatment is emerging based on CeO nano-crystals that are discrete clusters of a few hundred atoms. This development is generating a great deal of exciting and promising research activity, as evidenced by this Special Issue of . In this paper, we provide both a steady-state and time-dependent mathematical description of a sequence of reactions: superoxide generation, superoxide dismutase, and hydrogen peroxide catalase and ceria regeneration. This sequence describes the reactive oxygen species (ROS); superoxide, O, molecular oxygen, O, hydroxide ion OH and hydrogen peroxide, HO, interacting with the Ce and Ce surface cations of nanoparticle ceria, CeO. Particular emphasis is placed on the predicted time-dependent role of the Ce/Ce ratio within the crystal. The net reaction is succinctly described as: HO + 2O + 2H → 2HO + 2O. The chemical equations and mathematical treatment appears to align well with several critical in vivo observations such as; direct and specific superoxide dismutase (SOD), ROS control, catalytic regeneration, ceria self-regulation and self-limiting behavior. However, in contrast to experimental observations, the model predicts that the 4+ ceric ion state is the key SOD agent. Future work is suggested based on these calculations.
| Reference Key |
reed2019modelingbiomolecules
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Reed, Kenneth;Bush, Nathan;Burns, Zachary;Doherty, Gwendolyn;Foley, Thomas;Milone, Matthew;L Maki, Kara;Cromer, Michael; |
| Journal | Biomolecules |
| Year | 2019 |
| DOI |
E447
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.