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Precise engineering of single-atom catalysts (SACs) with optimal hierarchical structures and favorable local chemical environments remains a significant challenge to cater for multiphase heterogeneous processes. Here, we develop a universal strategy for synthesizing channel-digging microspherical SACs that markedly enhance gas-liquid-solid mass transfer and fine-tune the thermodynamics of catalytic ozonation. By catalytically graphitizing carbon microspheres and selectively etching amorphous carbon domains via mild combustion, we fabricate cross-linked hierarchical graphitic nanochannels confining transition metal (e.g., Co, Cr, Mn, Fe, Ni) single atoms (TMCSs-Air). This nanoenvironment engineering increases interfacial ozone (O) mass transfer by 3.2-fold and directs O adsorption from a conventional "end-on" to a bidental "side-on" configuration. The enhanced inter-orbital electronic interactions lower the O activation barrier and form highly oxidizing surface-confined O (*O). Consequently, the CoCSs-Air catalyst achieves a 3.6-fold higher ozone utilization efficiency and a 4.2-fold greater turnover frequency (TOF = 1580 min) compared with pristine Co-doped carbon microspheres (CoCSs). Technical and economic evaluations further confirm the feasibility of TMCSs-Air nanoreactors in treating real-world petrochemical wastewater, highlighting its broader potential in overcoming gas diffusion barriers and tuning reaction pathways for multiphase heterogeneous catalysis.
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http://dx.doi.org/10.1002/anie.202504571 | DOI Listing |
Materials (Basel)
August 2025
School of Transportation, Southeast University, Nanjing 210018, China.
Permittivity measurements of concrete materials benefit from the application of high-frequency electromagnetic waves (HF-EMWs), but they still face the problem of being aleatory and exhibit epistemic uncertainty, originating from multi-phase heterogeneous materials and the limited knowledge of HF-EMW propagation. This limitation restricts the precision of non-destructive testing. This study proposes an evidential regression deep network for conducting permittivity measurements with uncertainty quantification.
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August 2025
College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.
Blast-furnace staves serve as critical protective components in ironmaking, requiring synergistic optimization of slag-coating behavior and self-protection capability to extend furnace lifespan and reduce energy consumption. Traditional integer-order heat transfer models, constrained by assumptions of homogeneous materials and instantaneous heat conduction, fail to accurately capture the cross-scale thermal memory effects and non-local diffusion characteristics in multiphase heterogeneous blast-furnace systems, leading to substantial inaccuracies in predicting dynamic slag-layer evolution. This review synthesizes recent advancements across three interlinked dimensions: first, analyzing design principles of zonal staves and how refractory material properties influence slag-layer formation, proposing a "high thermal conductivity-low thermal expansion" material matching strategy to mitigate thermal stress cracks through optimized synergy; second, developing a mechanistic model by introducing the Caputo fractional derivative to construct a non-Fourier heat-transfer framework (i.
View Article and Find Full Text PDFLab Chip
August 2025
Department of Energy Science and Engineering, Stanford University, Stanford, USA.
Acid dissolution of carbonate formations is critical to the energy transition and relevant to many engineering applications. The dynamics of the dissolution reaction are complex, strongly depend both on the flow properties and sample mineralogy and are further complicated by the production of carbon dioxide gas bubbles from the reactive surface, which renders the system multiphase. Quantifying the impact of multiphase flow conditions on effective reaction rates of carbonate dissolution has challenged experimental methods focused on core-based characterization techniques.
View Article and Find Full Text PDFEur J Radiol
August 2025
Department of Radiology, Huaihe Hospital, Henan University, No. 8 Baobei Road, Gulou District, Kaifeng City 475000 Henan province, China.
Rationale And Objectives: To evaluate the predictive value of a delta radiomic score (DRS)derived from multiphase contrast-enhanced Magnetic Resonance Imaging (MRI), in combination with clinical characteristics, forecasting overall survival (OS) and recurrence-free survival (RFS) in patients with hepatocellular carcinoma (HCC) after thermal ablation.
Materials And Methods: This retrospective study enrolled 415 patients with HCC from two centers who underwent multiphase contrast-enhanced magnetic resonance imaging and percutaneous thermal ablation. Patients in Institution 1 (n = 315) were randomly assigned to the training cohorts (n = 220) and internal tests (n = 95), while 100 patients in Institution 2 formed the external validation cohort.
Environ Sci Ecotechnol
September 2025
State Key Laboratory of Soil Pollution Control and Safety, Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Understanding and mitigating PM and ozone (O) pollution remains challenging due to the nonlinear atmospheric chemistry and spatially heterogeneous nature of pollutant emissions. Traditional forward modeling approaches suffer from high computational cost and limited diagnostic resolution to precisely attribute emissions sources at fine spatial, temporal, and chemical scales. Adjoint modeling has emerged as an efficient alternative, enabling high-resolution, multi-pollutant source attribution in a single integrated framework; however, its application to simultaneous PM-O pollution episodes is limited, particularly in densely populated regions experiencing complex co-pollutant interactions.
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