Controllable Supply–Demand Effect during Superior Fe Single-Atom Catalyst Synthesis for Targeted Guanine Oxidation of Antibiotic Resistance Genes

Environmental Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Nonradical Fenton-like catalysis offers an opportunity to degrade extracellular antibiotic resistance genes (eARGs). However, high-loading single-atom catalysts (SACs) with controllable configurations are urgently required selectively generate high-yield nonradicals. Herein, we constructed Fe SACs (5.4-34.2 wt %) uniform Fe-N4 sites via optimized coordination balance of supermolecular assembly for peroxymonosulfate activation. The selectivity singlet oxygen (1O2) generation and its contribution eARGs degradation were both >98%. This targeting strategy oxidizing guanines low ionization potentials by 1O2 allowed 7 log within 10 min eliminated their transformation 2 min, outperforming most reported advanced oxidation processes. Relevant interactions between revealed at a single-molecule resolution. exhibited excellent universality stability different water matrices. These findings provide promising route constructing efficient selective treatment.

Язык: Английский

Synchronization Strategy for Activity and Stability in Fenton‐Like Single‐Atom Catalysis

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 2, 2025

Abstract Single‐atom catalysts (SACs) have garnered significant attention in the applications of environmental remediation based on Fenton‐like systems. Current research single‐atom catalysis often emphasizes catalytic activity and mechanism regulation, while paying limited to simultaneous enhancement both stability—a critical factor for practical scale‐up SACs. This review systematically summarizes recent advances synchronization strategies improving stability catalysis, with a focus design principles mechanisms four key strategies: coordination engineering, confinement effects, carrier substitution, module design. To best knowledge, this represents first comprehensive from perspective concurrent optimization stability. Additionally, auxiliary role machine learning lifecycle assessment (LCA) is evaluated advancing these strategies. By investigating interplay among different support materials, configurations, reaction environments, as well enlarged modules, factors governing stability/activity SACs are highlighted, future directions proposed developing next‐generation high efficiency long‐term durability remediation.

Язык: Английский

Advancing electrocatalyst discovery through the lens of data science: State of the art and perspectives☆

Journal of Catalysis, Год журнала: 2025, Номер unknown, С. 116162 - 116162

Опубликована: Апрель 1, 2025

Язык: Английский