SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4194-2
Lanthanide-doped upconversion nanoparticles (UCNPs) exhibit distinctive optical characteristics, including excellent photostability, large anti-Stokes shifts, narrow emission bands, and tunable luminescence lifetimes. Despite their advantages, UCNPs suffer from inherently weak light absorption because of the 4f-4f transitions of lanthanide ions. Near-infrared dye-sensitization has emerged as an effective strategy to enhance their absorption, yet the photoconversion performance remains constrained by photobleaching and interfacial energy losses. In this review, we systematically analyze the surface coordination environments and energy transfer pathways that govern dye-sensitized UCNPs. We evaluate critical molecular parameters, such as dye frameworks, surface binding affinity, and triplet-state energy alignment, in conjunction with nanoparticle structural features, including dopant concentration, core-shell architectures, and surface electronic configurations. By providing a fundamental assessment of these photophysical and photochemical processes, we propose targeted optimization strategies to enhance the performance and stability of these hybrid materials for advanced applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3739-8
The premature decay of electrochemical nitrogen reduction reaction (eNRR) performance at low electrode potentials remains a major obstacle to practical applications, primarily due to competition from the hydrogen evolution reaction (HER). A new paradigm capable of transcending current selectivity constraints is urgently required to advance eNRR toward industrial implementation. In this work, we propose two practical selectivity descriptors (ΔΔG and ΔU) based on a systematic investigation of the potential-dependent competition between eNRR and HER on confined dual-atom catalysts. The descriptor ΔΔG (ΔG_N2 − ΔG_H) identifies the potential range where N2 adsorption dominates over H adsorption, while ΔU (U_cross – U_eNRR) specifies the potential range to trigger direct eNRR, offering a quantitative benchmark for rational catalyst design. Ideal catalysts should maintain N2-preferential adsorption across a broad potential window to facilitate direct eNRR. Guided by this insight, we demonstrate that confined dual-atom configurations with optimized interatomic distances can simultaneously achieve both overwhelming N2 adsorption and sufficient activation, thereby overcoming conventional selectivity limitations. This strategy enables ammonia synthesis with industrially relevant production rates and current density even at elevated potentials. Our mechanistic insights not only elucidate the root causes of performance limitations in eNRR but also offer a rational design framework for developing high-performance catalysts across a broad range of electrochemical transformations.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604003
Emerging contaminants (ECs) in wastewater from urban transportation infrastructure remain poorly characterized. This study employed high-resolution mass spectrometry (HRMS)-based non-target screening to systematically identify the composition and spatial distribution of ECs in wastewater from three functional zones of a metro maintenance depot: storeroom (S1), office/residential area (S2), and final discharge outlet (S3). A total of 417 contaminants were detected, spanning eight categories including industrial materials, pharmaceuticals, pesticides, and natural products. Among these, 48 substances were identified with Level 1 confidence via spectral matching. Pesticides exhibited the highest detection frequency and concentration levels, representing the primary contaminant load. Semi-quantitative concentration heatmaps of 24 pesticides revealed significant spatial variation: S2 showed the highest number and concentration of contaminants, reflecting inputs from landscaping and vector control; S1 and S3 showed lower levels, indicating dilution, migration, and attenuation. Representative pesticide bifenox displayed a clear concentration gradient (S2 > S1 > S3), suggesting transport mechanisms such as surface runoff, hydraulic transfer, and sorption. These findings underscore the complexity and diversity of EC sources in metro depot wastewater, highlight the need to prioritize pesticides in regulatory management, and provide fundamental data for understanding EC environmental behavior and informing water environment risk assessment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3812-5
Anaerobic bacterial infections, prevalent in oxygen-deprived tissues, are recalcitrant to conventional antibiotics due to slow bacterial metabolism and the generation of nutrient-rich niches that foster polymicrobial biofilms. Propionibacterium acnes (P. acnes), a skin commensal, exemplifies this challenge, causing acne vulgaris and implant-associated infections, with rising antibiotic resistance. This study introduces an antimicrobial peptide (AMP), WRK (sequence: WRKFRRFKFRW-NH2), which induces endogenous reactive oxygen species (ROS) production in anaerobic bacteria, exploiting their inherent low ROS tolerance. WRK exhibited potent antibacterial activity, with a minimum inhibitory concentration (MIC) of 4 μg mL−1 against planktonic P. acnes and a minimum biofilm eradication concentration (MBEC) of 64 μg mL−1. To enable dermal delivery, WRK was encapsulated in layered dissolving microneedles (MNs), which demonstrated adequate mechanical strength for skin penetration. In a mouse back acne model, AMP MNs significantly reduced P. acnes infection and inflammation, outperforming commercial clindamycin gel. Histological analysis confirmed reduced inflammatory cell infiltration and tissue hyperplasia in the AMP MN group. This strategy offers a promising approach for treating anaerobic infections without promoting drug resistance, addressing a critical unmet need in clinical dermatology and implant surgery.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202510072
Porous structures are widely used in hydraulic and pneumatic systems for flow rectification and throttling, reducing velocity, regulating pressure, and improving flow stability. Numerical simulation is a common approach to study such flows, yet the lack of standardized parameter settings often leads to user-dependent errors. This study, based on the CFD software Fluent, systematically analyzes nine key parameters across three core stages: modeling, mesh generation, and solver settings. Under both quasi-2D and 3D configurations, the influence and underlying mechanisms of each parameter on simulation results are revealed, and a reference parameter-setting method is proposed. The method is validated against wind tunnel experiments, showing that the simulated average velocity reduction ratio γS deviates from experimental values by less than 6%, confirming its reliability and applicability. This work provides a basis for standardized parameter settings in numerical simulations of porous structures, enhancing consistency and predictive accuracy.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3901-2
This work presents a cracked template and vacuum metal evaporation strategy for fabricating structurally randomized copper (Cu) mesh films. Regulating the internal stress distribution within the coating during template cracking enables controlled fabrication of Cu mesh films with varying discrete degrees of mesh aperture area and distinct probability distributions of metal line inclination. The influence of structural parameter randomization on properties was systematically investigated, encompassing higher-order diffraction energy homogenization, optoelectronic performance, and electromagnetic interference shielding effectiveness (EMI SE). Results demonstrate that increasing structural randomization effectively suppresses higher-order diffraction energy, achieving a reduction to −3.93 dB in normalized higher-order diffraction energy. Furthermore, the Cu mesh film exhibited minimal degradation on imaging system performance, with resolution decreasing only marginally from 80.6 to 71.8 lp/mm. Simultaneously, the most randomized Cu mesh film demonstrates an ultra-low sheet resistance (3.31 Ω/sq), high visible light transmittance (88.7% at 550 nm), an exceptional figure of merit (FoM=913.69), and robust EMI SE within the X-band (average SE of 33.18 dB). These findings underscore that metal mesh films incorporating structural randomization offer an effective strategy for enhancing EMI shielding in high-performance optoelectronic imaging systems.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508006
Landfill leachate, characterized by high ammonia nitrogen, high organic load, complex toxic components, and low nitrogen removal efficiency, poses significant environmental challenges. To achieve efficient nitrogen removal, a continuous-flow two-stage anoxic/oxic (A/O) moving-bed biofilm reactor (MBBR) system coupled with anaerobic ammonium oxidation (Anammox) was constructed and operated for long-term treatment of actual landfill leachate. After biofilm attachment and multi-gradient acclimation, influent concentrations were gradually increased from low levels (NH4+-N ~200 mg·L−1, COD ~2500–3000 mg·L−1) to high levels (NH4+-N ~1800 mg·L−1, COD ~8500 mg·L−1). During stable operation, average removal efficiencies of NH4+-N and COD reached 97.7% and 66.8%, respectively, with total nitrogen (TN) removal efficiency improving to 93.9%. Along the reactor, the first A/O stage achieved major organic degradation and ammonia oxidation, while the second stage facilitated nitrite accumulation and promoted Anammox for synergistic nitrogen removal. High-throughput sequencing revealed Proteobacteria as the dominant phylum (>50%), with denitrifying genera such as Azoarcus and Thauera significantly enriched. Planctomycetota abundance increased from 0.6% to 3.7%, and Candidatus Kuenenia was detected, confirming successful Anammox colonization and participation in nitrogen removal. This study validates the efficient combined nitrogen removal mechanism of the A/O–MBBR system with Anammox, providing theoretical basis and technical support for engineering treatment of high-ammonia wastewater.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025050803
This study systematically investigates the synergistic drag reduction mechanism of surfactants and porous media in coal seam water injection. Four surfactant types—cationic CTAB, anionic SDBS, amphoteric BS-12, and nonionic OP-10—were tested with five porous media pore sizes (3–12 mm) using a custom-built all-in-one drag reduction test system. The effects of surfactant type, mass concentration, driving frequency, and pore diameter on drag reduction efficiency were evaluated. Results show that in an empty tube, drag reduction efficiency increases with mass concentration. As driving frequency increases, drag reduction first rises then falls, peaking at 35 Hz. With porous media, drag reduction exhibits pore size dependence, reaching a maximum at 8 mm and decreasing thereafter. The composite surfactant-porous media system achieves synergistic enhancement over single systems. At 0.05% mass concentration, all surfactants attain maximum drag reduction, with CTAB showing the highest efficiency. Optimal conditions (0.05% CTAB, 35 Hz, 8 mm pore size) yield a drag reduction rate of 66.14%, a 1.4-fold improvement over 20 Hz. These findings demonstrate that tailoring surfactant and porous media parameters can significantly optimize coal seam water injection efficiency, offering a practical approach for dust control in mining.