Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024102403
The rapid combustion of soot at low temperatures is critical for diesel engine cold-start emission control. This study investigates the effects of water vapor (H2O) and nitrogen oxides (NOx) on electricity-pulse-sparked catalysis (EPSC) for soot combustion over a ceramic filter paper-based potassium-supported antimony-doped tin oxide (K/ATO/CP) monolithic catalyst. Under EPSC with 2000 J pulses, the presence of H2O and NOx adversely affected soot combustion performance, yet average reaction rates remained high at 12.0 μmol·gcat−1·s−1 and 9.53 μmol·gcat−1·s−1, respectively, exceeding conventional thermal catalysis (<8 μmol·gcat−1·s−1). In situ Raman and concentration profiles revealed that electricity pulses promote rapid H2O desorption, effectively alleviating H2O poisoning and restoring catalyst activity. In contrast, NOx adsorption forms stable nitrates (e.g., KNO3) that desorb slower than the soot combustion process, leading to incomplete recovery of activity. These findings highlight the importance of adsorbate desorption kinetics in EPSC and suggest that using weakly basic alkaline-earth metals (e.g., Mg, Ca, Sr) with lower nitrate decomposition temperatures could mitigate NOx poisoning. The results provide guidance for advancing EPSC technology in hybrid vehicle exhaust aftertreatment systems.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508052
To improve the performance of pre-dust collectors in biomass boiler flue gas purification systems, a novel channel-steel baffle-type pre-dust collector was proposed to address the low collection efficiency of conventional designs. A gas-solid two-phase flow model was developed within the MP-PIC (multiphase particle-in-cell) framework and validated against physical experiments. The model simulated gas-particle motion inside the collector, systematically investigating the effects of structural modifications, flue gas conditions, and dust properties on collection efficiency and pressure drop. Results indicate that adding a flow baffle in the ash hopper and adopting an upper-inlet flue duct enhance collection efficiency with negligible impact on pressure drop. Flue gas velocity significantly influences performance: increasing velocity reduces efficiency while raising pressure drop; an optimal design velocity of 1.0–2.0 m·s−1 is recommended. Elevated flue gas temperature slightly decreases both efficiency and pressure drop, with minimal impact over a range of tens of degrees Celsius. Higher dust density and larger particle size improve collection efficiency and reduce pressure drop, whereas higher dust concentration increases both efficiency and pressure drop. The study elucidates the mechanisms by which structural and operational parameters affect pre-dust collector performance, providing theoretical guidance for designing low-resistance, high-efficiency collectors for biomass boilers.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025012302
Phosphorus (P) loss from paddy fields contributes to eutrophication in Chaohu Lake. This study evaluated the effects of novel fertilizers and P reduction on P loss and rice yield. Seven treatments were established: no P (CK), rice-specific fertilizer (ZYF), slow-release blended fertilizer (SRF), Xinjutian compound fertilizer (XJT), enhanced loss-controlled fertilizer (CRF), CRF with 10% P reduction (CRF-10P%), and CRF with 30% P reduction (CRF-30P%). Results showed that novel fertilizers and P reduction significantly reduced concentrations of total phosphorus (TP), dissolved phosphorus (DP), and particulate phosphorus (PP) in surface water and leachate. The first 5 days after basal fertilization and heavy rainfall were high-risk periods for P loss. Rainfall increased TP concentrations by 417.74%–432.86% and 94.85%–351.35% in surface water and leachate, respectively; DP increased by 120.80%–322.44%, and PP by 280.66%–501.77% and 80.23%–297.55%. Compared with ZYF, SRF, XJT, and CRF reduced TP loss by 15.43%–33.95%, with SRF showing the lowest loss. Under P reduction, CRF-10P% and CRF-30P% reduced TP loss by 31.48% and 37.04%, respectively, with CRF-30P% achieving the lowest loss. Notably, CRF-10P% increased rice yield by 22.37% relative to ZYF, indicating that moderate P reduction with enhanced loss-controlled fertilizer can maintain or increase yield while reducing environmental risk. The study concludes that CRF-10P% offers a promising strategy for sustainable rice production in the Chaohu Lake watershed.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025010802
Ozone (O3) pollution is a prominent issue in the Guanzhong Plain, necessitating effective control of its precursors, particularly volatile organic compounds (VOCs). However, studies on VOC pollution characteristics at the county level are scarce. To investigate the summer VOC pollution characteristics and sources in high-altitude towns of the Guanzhong Plain, continuous monitoring of 53 typical VOC species was conducted at two sites in Changwu County, Xianyang City (elevation 1200 m). The spatiotemporal variations of ambient VOCs and their ozone formation potential (OFP) were analyzed, and source apportionment was performed using the Positive Matrix Factorization (PMF) model. Results showed that average total VOC (TVOCs) concentrations at the Changwu Government and Changwu Middle School sites were 60.04×10⁻⁹ and 83.28×10⁻⁹, respectively. Oxygenated VOCs (OVOCs) dominated, accounting for 55.14% and 62.91% of TVOCs, followed by alkenes, aromatic hydrocarbons, and halogenated hydrocarbons. Industrial sources contributed the most (43.2%) to VOC emissions in Changwu County, but site-specific differences were observed: the Government site was primarily influenced by solvent use (30.7%) and motor vehicles (19.1%), while the Middle School site was dominated by domestic sources (27.6%) and motor vehicles (20.0%). The average OFP values at the Government and Middle School sites were 258.84×10⁻⁹ and 378.04×10⁻⁹, respectively, with alkenes and OVOCs as the main contributors, originating from industrial emissions, solvent use, and biogenic sources. EKMA curves indicated that Changwu County was in a VOC-limited regime during the observation period, confirming the effectiveness of VOC control for ozone mitigation. These findings provide scientific guidance for local ozone management and offer a paradigm for precise ozone pollution control in county-level regions of the Guanzhong Plain.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3976-x
The discovery of high-temperature superconductivity in bilayer nickelate La3Ni2O7−δ (La-327) under high pressure and in thin films at ambient pressure has opened new avenues in superconductivity research. However, La-327 exhibits a narrow phase stability range, leading to stacking faults that suppress bulk superconductivity. Chemical substitutions, particularly at the A-site with smaller rare-earth ions, have been shown to enhance phase purity and reduce stacking faults, while also increasing the orthorhombic distortion and chemical pressure. In this work, we apply the high-entropy (HE) strategy to stabilize the 327 phase with reduced average A-site ionic radius (rA). We successfully synthesized medium-entropy La1.2Pr0.6Nd0.6Sm0.6Ni2O7−δ (ME-327) and high-entropy La0.67Pr0.67Nd0.67Sm0.33Eu0.33Gd0.33Ni2O7−δ (HE-327) polycrystalline samples. These compositions satisfy medium- and high-entropy criteria, with rA values of 1.181 Å and 1.164 Å, respectively. The samples are phase-pure and homogeneous. HE-327 exhibits the lowest cell volume, largest orthorhombicity, and shortest interlayer Ni-Ni distance among reported bilayer nickelates. Physical property measurements reveal low electrical conductivity and a high density-wave (DW) transition temperature. Under high pressure, HE-327 shows a resistivity anomaly at 103 K under 31 GPa, suggesting a possible superconducting transition. Extrapolation indicates that Tc under high pressure exceeds 100 K for HE-327, correlating with reduced rA and enhanced interlayer coupling. Our results demonstrate the ionic size effect and the effectiveness of the HE approach in stabilizing bilayer nickelates, providing a new avenue for developing superconducting materials.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60638-X
The extensive emission of greenhouse gases, primarily CO2 and CH4, has contributed to intensified global warming. Dry reforming of methane (DRM, CH4 + CO2 → 2CO + 2H2) offers a pathway for the synergistic utilization of these two major greenhouse gases, presenting important implications for both environmental protection and energy sustainability. However, the catalysts still face challenges such as carbon deposition and sintering of active metals, which adversely affect the catalytic performance and long-term stability. Oxygen vacancies, which are common lattice defects in metal oxides, have been demonstrated to improve the DRM performance by modulating the surface and interfacial properties of the catalysts. This review systematically summarizes research progresses in DRM over the past decade, outlines the major challenges and emphasizes the critical roles of oxygen vacancies in suppressing carbon deposition and inhibiting metal sintering. Furthermore, the mechanisms through which oxygen vacancies influence DRM reactions are discussed, combined with their formation pathways and regulation strategies. These insights provide essential theoretical foundations for the design and synthesis of highly efficient and stable DRM catalysts.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026030202
High nitrogen (N) inputs, low N use efficiency, and substantial greenhouse gas emissions constrain sustainable double-cropping rice production in the middle and lower reaches of the Yangtze River. To evaluate whether humic acid urea (HAU) can reconcile yield stability with N reduction and carbon mitigation, a field experiment was conducted in a double-cropping rice system. Five treatments were established: conventional urea at the recommended N rate (U), HAU at the recommended N rate (HAU), conventional urea with a 20% reduction in N input (U-20), HAU with a 20% reduction in N input (HAU-20), and a no-N control (CK). Rice yield, N uptake and utilization, and the full life-cycle carbon footprint were quantified. Results showed that HAU significantly increased double-cropping rice yield by 6.46% (early rice) and 8.76% (late rice) compared to U (P < 0.05). HAU-20 maintained yield equivalent to U, while U-20 significantly reduced yield. HAU-20 significantly improved nitrogen fertilizer apparent utilization rate, agronomic efficiency, and partial factor productivity. Specifically, apparent utilization rate increased by 9.24 percentage points (early rice) and 7.80 percentage points (late rice); agronomic efficiency increased by 18.51% and 26.69%, and partial factor productivity by 22.79% and 25.58% for early and late rice, respectively (P < 0.05). Life-cycle carbon footprint was significantly reduced by 26.25% (early rice) and 40.38% (late rice) under HAU-20 compared to U, with per-unit product carbon footprint reduced by 0.22 t CO2-eq·t−1 and 0.86 t CO2-eq·t−1, respectively. The reduction was primarily attributed to decreased CH4 and N2O emissions: early rice CH4 and N2O cumulative emissions decreased by 28.92% and 44.34%, and late rice by 44.46% and 63.85% (P < 0.05). In conclusion, HAU with 20% N reduction sustains yield, enhances N use efficiency, and significantly lowers carbon footprint, offering a viable path for green and low-carbon double-cropping rice production.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3416-3
The development of high-efficiency perovskite solar cells (PSCs) demands comprehensive control of multi-scale factors influencing device performance. Artificial intelligence (AI), represented by machine learning (ML), has rapidly become a key tool for PSC design and optimization. However, current ML models often oversimplify PSC design at the device level, failing to capture multi-scale complexity. They are constrained by relatively small, specialized datasets, limiting generalizability across diverse architectures and fabrication methods. This work developed a full-process AI framework based on over 20,000 experimentally measured PSC samples and approximately 260 multi-scale features. The framework offers significant advantages in sample diversity and feature richness, combining material selection, fabrication processes, and environmental factors to provide accurate, comprehensive optimization solutions. Data diversity and heterogeneity challenges were addressed through feature engineering and model training, yielding a highly generalizable PSC performance prediction model with prediction error comparable to small-scale models. The framework enables precise optimization of specific features for any PSC and provides valuable insights for designing high-performance photovoltaic devices. Experimental validation fabricated 8 types of PSCs with new feature values; the framework searched corresponding optimization suggestions, resulting in an additional improvement of 0.92% to 2.43% in final power conversion efficiency (PCE) of fabricated devices. This demonstrates the framework's universality and sufficient learning and analytical capabilities for new data, adaptable to the rapid development of PSCs.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3632-9
Stretchable extended-gate organic thin film transistors (OTFTs) combine the high selectivity of electrochemical sensing with the mechanical compliance and in situ signal amplification of organic electronics, offering a route to wearable sweat diagnostics. However, high operating voltages and limited operational stability have restricted their practical deployment. This work introduces a stretchable ionic gel as the dielectric layer, enabling an intrinsically stretchable electrolyte-gated organic thin film transistor (EGOTFT) that operates at ultralow voltages below 1 V. The device exhibits a low operating voltage of −0.5 V, a steep subthreshold slope of 98 mV dec−1, and stable performance over 30 days. Mechanical durability is maintained under 40% strain and after 10^4 stretching-releasing cycles. The EGOTFT is integrated with an extended-gate functionalized carbon nanotube electrode for glucose sensing. The sensor demonstrates a linear response from 100 μM to 1 mM with an R-squared value of 0.997, a limit of detection of 8.72 μM, and a limit of quantification of 29.08 μM. The platform combines low power consumption, high sensitivity, fast response, and good selectivity, meeting safety and conformability requirements for wearable biomedical applications. This work advances the development of electronic skin with signal-identification capabilities and provides a viable path toward continuous, non-invasive sweat glucose monitoring.