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Spatiotemporal antibacterial strategy via intra-particle charge transfer-enhanced self-photooxidation of Cu2O nanoparticles
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Title
Spatiotemporal antibacterial strategy via intra-particle charge transfer-enhanced self-photooxidation of Cu2O nanoparticles
Issued Date
2025-09
Citation
Chemical Engineering Journal, v.520
Type
Article
Author Keywords
Cu2OCharge transferPhoto-activationSpatiotemporal controlAntibacterial
Keywords
ESCHERICHIA-COLICOPPERTRANSFORMATIONPHOTOCATALYSTSTABILITYSURFACESGROWTHROS
ISSN
1385-8947
Abstract
Due to its photocatalytic instability, Cu₂O can function as a potent source of Cu2+ ions. Upon exposure to light irradiation, Cu₂O nanoparticles (NPs) undergo self-photooxidation, wherein facet-dependent charge separation facilitates the leaching of Cu2+ ions. This process generates a microenvironment with a high ion concentration, thereby ensuring effective bacterial eradication. Cu-based antimicrobial agents eliminate bacteria by releasing Cu2+ ions and generating reactive oxygen species (ROS). However, their limited ion release and diffusion constraints impede bactericidal efficiency. This study introduces a self-photooxidation strategy that employs Cu₂O NPs for the spatiotemporal eradication of bacteria. Under light exposure, Cu₂O NPs undergo photodecomposition, rapidly releasing Cu2+ ions at a rate that surpasses bacterial motility. Additionally, the exothermic reaction induces thermal convection, directing motile Escherichia coli toward the NP surfaces, thereby enhancing antibacterial efficacy. The processes of self-photooxidation, bacterial motility, and cell viability were quantified at the level of individual particles and cells using optical microscopy. These findings demonstrate that the facet-dependent electronic properties of shape-controlled Cu₂O NPs optimize charge transfer, thereby enhancing self-photooxidation and antibacterial performance. This strategy addresses the limitations of conventional Cu-based antimicrobials and enables precise optical control of bactericidal activity. © 2025 Elsevier B.V.
URI
https://scholar.dgist.ac.kr/handle/20.500.11750/58664
DOI
10.1016/j.cej.2025.165461
Publisher
Elsevier
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