SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4467-x
Conventional eye-movement interaction systems depend on video capture, infrared tracking, and image recognition, which impose inherent constraints on accuracy, response latency, and stability. This study introduces an eyelash-guided signal interaction system based on a triboelectric nanogenerator (PF-TENG) using PDMS-FDTS thin films. The system employs eyelash movements as interactive inputs, eliminating the need for complex optical acquisition devices. A CNN-LSTM hybrid neural network classifies distinct eyelash movement patterns with a classification accuracy exceeding 98.5%. The PF-TENG device exhibits ultra-flexibility and transparency, enabling seamless integration onto eyeglasses without obstructing the user's field of view. Experimental validation demonstrates real-time monitoring of ocular states for driving fatigue detection, accurately identifying fatigue signs and enhancing application potential in intelligent driving. The system offers a natural, comfortable input modality and significant advantages for human-machine interaction, with broad prospects in eye-movement control and intelligent transportation.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3642-4
High-density glass scintillators are promising alternatives to crystals for next-generation radiation detection due to their low cost, excellent physical and chemical stability, and processability. In this study, a series of Ce3+-activated gadolinium gallium borosilicate (GGBS x) glasses were synthesized via vacuum melt-quenching. With increasing Gd2O3 content, glass density increased from 5.86 to 6.05 g/cm3, and molar volume from 36.43 to 39.79 cm3/mol. Extended X-ray absorption fine structure (EXAFS) analysis revealed that in GGBS 1 glass, Ce3+ exclusively adopts a hexahedral [CeO6] configuration, while Gd3+ exhibits both hexahedral and octahedral coordination with a bond length of 2.35±0.1 Å and Debye-Waller factor σ2 of 0.0122±0.0015 Å2. As Gd2O3 content increased, shallow trap depth rose from 0.804 to 0.858 eV, while deep trap depth first increased from 0.948 to 1.434 eV then decreased to 1.010 eV. GGBS 1 glass exhibited high transmittance (~80%) in the visible range and a photoluminescence quantum yield of 78.4%. Under X-ray irradiation, its X-ray excited luminescence intensity reached 128.5% of that of Bi4Ge3O12 (BGO) crystal, with a spatial resolution of 29.1 lp/mm, approaching the highest reported for glass scintillators. Under γ-ray excitation, it achieved a light yield of 1058 photons/MeV and an energy resolution of 23.7% at 662 keV. These results indicate that GGBS 1 glass scintillator warrants further development for applications in X-ray imaging and γ-ray spectroscopy.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507041
This study investigated the cultivation of aerobic granular sludge (AGS) in a sequencing batch reactor (SBR) for the treatment of real textile dyeing wastewater, focusing on the influence of organic loading rate (OLR) on granulation and pollutant removal. After 60 days of cultivation, dense granules of approximately 1 mm diameter were formed, with extracellular polymeric substances (EPS) content of 92.22 mg·L−1, achieving COD and color removal efficiencies of 88.5% and 73.3%, respectively. OLR significantly regulated sludge characteristics: at an OLR of 3.0 kg·(m3·d)−1, the average granule size reached a maximum of 1.38 mm, EPS content peaked at 95.21 mg·g−1, and the highest COD and color removals were observed (92.73% and 86.35%, respectively). However, an excessive OLR of 5.0 kg·(m3·d)−1 led to sludge bulking and disintegration. Microbial community analysis revealed that Proteobacteria (44.06%–49.17%) and Bacteroidetes (27.49%–29.64%) were the dominant phyla, with their abundances significantly correlated with EPS protein secretion and pollutant removal efficiency. This study elucidates the mechanism by which OLR optimizes textile wastewater treatment through modulation of microbial community structure and EPS secretion, providing a theoretical basis and technical support for the practical application of AGS in textile dyeing wastewater treatment.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025121001
Ion chromatography (IC) is the core analytical method for qualitative and quantitative determination of anions in complex water environments, and its separation efficiency highly depends on the performance of the stationary phase. This review systematically summarizes recent progress in the preparation and functionalization of IC stationary phases, addressing the urgent need for high selectivity and sensitivity in water anion analysis. The characteristics of organic polymer-based and inorganic-based matrices are compared, highlighting the advantages of polymer matrices such as poly(methacrylate), poly(vinyl alcohol), polystyrene-divinylbenzene (PS-DVB), and ethylvinylbenzene-divinylbenzene (EVB-DVB) in terms of wide pH tolerance (e.g., pH 0–14 for PS-DVB) and organic solvent compatibility, which allow the use of strong acid or base eluents. Various functionalization strategies are discussed, including the introduction of quaternary ammonium groups, hydrophilic modifications, and grafting of functional layers, which enhance separation selectivity and detection capability. The review also covers the development of hybrid stationary phases and the application of IC in monitoring trace pollutants in water, such as bromate, chlorite, chlorate, fluoride, and nitrate, as regulated by Chinese standards (GB 5749—2022). Future trends are projected, focusing on novel materials for precise identification and high-throughput monitoring. The paper provides a comprehensive reference for the design of high-performance stationary phases, emphasizing the importance of matrix selection and surface chemistry in achieving robust and sensitive anion analysis.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3891-5
Alloys with low thermal expansion are vital for precision components in aerospace, cryogenics, optics, and electronics, where dimensional stability under thermal cycling is essential. As these applications face harsher mechanical and thermal conditions, materials must offer not only low thermal expansion but also high strength and ductility. Achieving all three remains difficult, as their underlying microstructural requirements often conflict. Here, we present a medium-entropy alloy, Fe54Ni34Co6Ti3Al3 (at.%), designed to overcome this challenge through tailored precipitation engineering. The alloy forms coherent L12 nanoprecipitates that not only provide substantial precipitation strengthening but also modulate the composition of the face-centered cubic matrix. This tuning induces a low coefficient of thermal expansion and metastability in the matrix, enabling transformation-induced plasticity that enhances ductility and strain hardening. As a result, the alloy achieves a tensile yield strength of (1036±21) MPa, uniform elongation of 18.4%±1.1%, and a coefficient of thermal expansion of 5.8×10−6 °C−1. This work demonstrates a precipitation-driven pathway to reconcile strength, ductility, and thermal stability, offering a new strategy for designing multifunctional structural materials for advanced engineering environments.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605023
Identifying the characteristics of carbon emissions and driving forces of the railway sector is essential for formulating effective measures to develop a green and low-carbon railway industry. This study systematically evaluated the direct and indirect carbon emissions from 2016 to 2021 generated by the railway sector of China, and analyzed the spatiotemporal dynamic changes of the carbon emissions. On this basis, by adopting the LMDI model, the key factors affecting the carbon emissions of railway sector were discerned. Moreover, the variations in the dominant factors of the carbon emissions over time, and the spatial heterogeneities in the dominant factors of the carbon emissions of the 18 railway bureaus, were analyzed. The results show that: 1) During the periods from 2016 to 2021, the carbon emissions of China's railway sector showed an overall upward trend, increasing from 57.7486 million tons to 64.2084 million tons, by 11.2%. The Shanghai Bureau, Beijing Bureau, Zhengzhou Bureau, Chengdu Bureau and Guangzhou Bureau substantially contributed to the increases of railway carbon emissions. In spatial, the carbon emissions of the 18 railway bureaus were characterized by lower emissions in the west and higher emissions in the east, mainly due to the regional differences in the socio-economic development, industrial structure and population density; 2) During 2016 to 2021, the decline in energy consumption intensity reduced the carbon emissions of the railway sector by 18.8654 million tons, while the changes in carbon emission intensity, economic benefits of per unit passenger and freight turnover, and operating capacity led to an increase of a sum of 25.3252 million tons of carbon emissions. When decomposing the contributions of each factor by sub-periods, it can be found that the impacts of these factors on the carbon emissions changed over time. Only the factor of carbon emission intensity showed a promoting effect in all sub-periods, the other three factors, as energy consumption intensity, economic benefits of per unit passenger and freight turnover, and operating capacity, had a conversion between promoting and inhibiting effects. 3) The dominant factors of carbon emissions across the 18 railway bureaus exhibited spatial heterogeneity. For instance, operating capacity was the main promoting factor for bureaus like Taiyuan, Beijing, Lanzhou, Nanning, Hohhot, Urumqi, and Qinghai-Tibet, while energy consumption intensity was the main inhibiting factor. For Shanghai, Kunming, Wuhan, Chengdu, Xi'an, Zhengzhou, Jinan, Shenyang, Nanchang, and Guangzhou, economic benefits per unit turnover was the main promoting factor, with energy consumption intensity as the main inhibiting factor. For Harbin, energy consumption intensity was the main promoting factor, while economic benefits per unit turnover was the main inhibiting factor. 4) The railway sector can reduce carbon emissions by optimizing transport organization to reduce empty car rates, optimizing energy structure, and retrofitting infrastructure for energy efficiency, while implementing differentiated emission reduction strategies tailored to each bureau's characteristics.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605024
The refined quantification of carbon footprint in engineering construction projects is critical for formulating targeted carbon reduction strategies during the materialization phase. This study integrates material flow analysis (MFA) with the emission factor method to establish a panoramic carbon flow model for engineering projects. Construction activities are categorized into processing and construction, and office and daily operations, clarifying material and carbon flow relationships within the system boundary and with external systems. Empirical analysis was conducted on the Hejiawan Bridge of Section 11 of the Xiyu High-Speed Railway. Results show that the total carbon flow amounts to 27,482,432.11 kg CO2eq, with direct carbon flow (fuel oil, gasoline) accounting for 7.6% and indirect carbon flow (products, transportation, electricity) accounting for 92.4%. From the material flow perspective, the total carbon flow comprises product carbon flow (72.88%), resource and energy carbon flow (25.73%), transportation carbon flow (1.04%), waste carbon flow (0.35%), and service carbon flow (0.01%). In terms of activity scope, construction-related carbon flow accounts for 99.17%, while office and daily operations account for 0.46%. Two indicators, material consumption carbon flow rate and energy consumption carbon flow rate, are proposed for the first time. Comparative analysis of five girder bridges reveals that the Hejiawan Bridge has a material consumption carbon flow rate of 3.91 kg CO2eq/kg, ranking highest among similar bridges, while its energy consumption carbon flow rate is 13.40 kg CO2eq/kg ec, at a medium level. The assessment indicates relatively high material consumption, suggesting potential for carbon reduction through structural and geological optimization.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3977-8
Single quantum well (single-QW) two-dimensional (2D) perovskites are poised to revolutionize optoelectronic devices owing to their superior stability and optoelectronic properties. However, solution-processed 2D perovskites typically suffer from disordered multiple-QW structures, leading to inconsistent device performance. Here, we introduce a solvent-hydrolysis-driven method to control crystallization kinetics, yielding highly ordered single-QW 2D perovskite films. Dimethylamine (DMA), generated from the hydrolysis of N,N-dimethylformamide (DMF), serves as a critical mediator, preventing cluster aggregation and ensuring a uniform colloidal distribution. This approach circumvents the formation of a heterogeneous intermediate phase, thereby promoting the formation of a homogeneous (DMA,MA)PbI3 phase, which is essential for single-QW film development. The resultant photodetector exhibits outstanding performance, with a responsivity of 1153 mA/W and a detectivity of 6.98 × 10^12 Jones, along with excellent photostability under ambient conditions. These attributes render it ideal for photoelectric imaging sensors and large-scale integration. Our findings establish a scalable, solution-processed strategy for high-performance 2D perovskite materials, opening new avenues for advanced optoelectronic applications.