Computer-Aided Design of Nanoceria Structures as Enzyme Mimetic Agents: The Role of Bodily Electrolytes on Maximizing Their Activity.
ACS Appl Bio Mater
; 2(3): 1098-1106, 2019 Mar 18.
Article
em En
| MEDLINE
| ID: mdl-35021360
Nanoceria, typically used for "clean-air" catalytic converter technologies because of its ability to capture, store, and release oxygen, is the same material that has the potential to be used in nanomedicine. Specifically, nanoceria can be used to control oxygen content in cellular environments; as a "nanozyme", nanoceria mimics enzymes by acting as an antioxidant agent. The computational design procedures for predicting active materials for catalytic converters can therefore be used to design active ceria nanozymes. Crucially, the ceria nanomedicine is not a molecule; rather, it is a crystal and exploits its unique crystal properties. Here, we use ab initio and classical computer modeling, together with the experiment, to design structures for nanoceria that maximize its nanozymetic activity. We predict that the optimum nanoparticle shape is either a (truncated) polyhedral or a nanocube to expose (active) CeO2{100} surfaces. It should also contain oxygen vacancies and surface hydroxyl species. We also show that the surface structures strongly affect the biological activity of nanoceria. Analogous to catalyst poisoning, phosphorus "poisoning", the interaction of nanoceria with phosphate, a common bodily electrolyte, emanates from phosphate ions binding strongly to CeO2{100} surfaces, inhibiting oxygen capture and release and hence its ability to act as a nanozyme. Conversely, the phosphate interaction with {111} surfaces is weak, and therefore, these surfaces protect the nanozyme against poisoning. The atom-level understanding presented here also illuminates catalytic processes and poisoning in "clean-air" or fuel-cell technologies because the mechanism underpinning and exploited in each technology, oxygen capture, storage, and release, is identical.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
ACS Appl Bio Mater
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Reino Unido