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/s40843-026-4245-4
The discrimination of volatile organic compounds (VOCs) at trace concentrations remains a critical challenge for environmental monitoring, industrial process control, and non-invasive disease diagnostics. Conventional electronic noses rely on sensor arrays comprising multiple chemically distinct receptors, which introduces fabrication complexity, calibration drift, and cross-sensitivity. Here, we demonstrate that a single-component Ti3C2Tx MXene (TM) sensor array, engineered through controlled surface chemistry and device architecture, generates independent and high-dimensional characteristics (IHC) sufficient for precise VOC pattern recognition. By exploiting the intrinsic heterogeneity of TM basal planes and edge sites, we achieve differential interaction motifs without expanding elemental composition. The array discriminates VOCs including acetone, ethanol, toluene, and hexane at concentrations down to 100 ppb with classification accuracy exceeding 95%. Principal component analysis reveals distinct clustering with cumulative variance of 92.3% captured by the first three principal components. The sensor exhibits a limit of detection of 50 ppb for acetone and response/recovery times of 12 s and 18 s, respectively. Long-term stability tests over 30 days show less than 5% signal degradation. This single-component strategy simplifies fabrication, reduces calibration overhead, and offers a scalable pathway for miniaturized, low-power VOC sensing platforms compatible with Internet of Things (IoT) deployment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3553-7
Gesture interaction has emerged as a highly effective interface for intelligent human-computer interaction, attributed to its intuitive interaction modality and multi-dimensional control capabilities. However, traditional gesture interaction devices often depend on predefined encoding rules, which substantially limit interaction efficiency and degrade user experience. This study introduces an innovative intelligent finger ring interaction system based on a triboelectric nanogenerator utilizing PDMS/SrTiO3 composite thin film (PS-TENG). The system maps freehand writing gestures directly to textual information input, thereby eliminating the need for complex gesture encoding schemes and offering a user-friendly, low-learning-curve input method. By integrating a deep learning model, the system achieves recognition accuracies of 98.21% for English letters, 96.87% for Arabic numerals, and 96.44% for Chinese characters. Furthermore, it supports secure and encrypted data transmission and enables wireless interaction for gaming control. These findings indicate that the intelligent finger ring interaction system possesses significant potential for practical applications in information input and wireless control.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3598-1
Embedding a dielectric layer between as-synthesized graphene nanoribbons (GNRs) and metal surfaces represents a powerful strategy to achieve electronic decoupling, thereby enabling the extraction of these ribbons' intrinsic electrical properties. Although several reports have documented dielectric intercalation between GNRs and metal substrates, studies on Ag(111) substrates are limited. Here, we demonstrate a semiconducting AgTe monolayer intercalation method to achieve electronic decoupling between as-synthesized GNRs and an Ag(111) substrate. Using low-temperature scanning tunneling microscopy, we directly observed the AgTe intercalation process at the GNR/Ag(111) interface. By combining scanning tunneling spectroscopy and density functional theory calculations, we elucidate the critical role of AgTe monolayer intercalation in reducing the interaction between as-synthesized GNRs and the Ag(111) substrate and observe the near-intrinsic electrical properties of the GNRs. Our findings offer a practical and effective strategy for intercalating AgTe monolayers between carbon-based nanomaterials and Ag(111) substrates, facilitating the unambiguous characterization of the near-intrinsic electronic properties of these materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3781-8
The 2xxx (Al-Cu-Mg) alloy is widely used in transportation fields due to its excellent strength-to-weight ratio. However, conventional heat treatments such as peak aging (PA) often result in a pronounced strength-ductility trade-off and limited fatigue resistance. To address these limitations, this work presents a comprehensive study on the mechanical properties and fatigue behavior of Al-Cu-Mg alloy subjected to a cyclic plasticity treatment. The cyclic strengthened (CS) samples exhibit a well-balanced combination of strength and ductility due to the formation of nanoscale solute clusters. A systematic and quantitative analysis of the strengthening mechanisms is performed to evaluate the contributions of key microstructural features to the mechanical response. Moreover, the CS samples also demonstrate a significantly higher fatigue ratio and fatigue strength compared to the PA sample, despite exhibiting comparable tensile strength. These improvements are attributed to the absence of weak precipitate-free zones (PFZs) induced as a result of cyclic plasticity, which completely eliminates the pronounced strength differential between the grain interiors and the PFZs observed in the PA state. This microstructural uniformity effect effectively suppresses strain localization under cyclic loading, promotes a more homogeneous strain partitioning, and consequently delays fatigue crack initiation. These findings highlight cyclic plasticity treatment as a promising microstructure design strategy for simultaneously enhancing the mechanical and fatigue properties of high-strength Al alloys.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511090
In ecological restoration projects such as wetland reconstruction and mine reclamation, seedling transplantation or mechanical damage often leads to slow healing, reducing survival rates and weakening carbon sequestration and soil-water conservation functions. To address secondary pollution from traditional chemical remediation, this study developed a self-powered piezoelectric hydrogel for green electrical stimulation of plant wounds. The hydrogel, based on polyacrylamide/polyethylene glycol (PAM/PEG) with CaCl2, formed a microporous, locally ordered piezoionic network. Characterization included microstructure, piezoionic response, and water retention. At 30 °C and 55% relative humidity, the hydrogel retained about 70% mass after 80 h of continuous water loss. Under simulated environmental mechanical forces, the hydrogel generated a peak voltage of approximately 6 mV. In tomato seedling stem models, wound callus area ratios reached approximately 49.50%, 64.87%, and 86.13% at 3, 5, and 10 days, respectively, when the hydrogel was attached and driven by environmental forces. The PAM/PEG/CaCl2 hydrogel efficiently converts environmental mechanical energy into mild electrical signals, promoting plant wound healing, reducing exogenous chemical use, and offering a low-carbon, environmentally friendly material pathway for ecological restoration and urban green space management.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.3724/2097-213X.2025.JFCT.0031
The high-temperature behavior of biomass ash critically influences gasifier operational efficiency. This study investigates the differential high-temperature behaviors of corn straw ash (CSA) and wheat straw ash (WSA) using an intelligent ash fusion analyzer, high-temperature rotating viscometer, X-ray diffraction (XRD), SEM-EDS, and FactSage thermodynamic simulations. Both ashes contain high K2O (>30%) and exhibit flow temperatures below 1300 °C. Despite higher K2O and lower SiO2, CSA exhibits a higher flow temperature (1241 °C) than WSA, attributed to elevated CaO (10.39%) and MgO (7.33%) that promote formation of high-melting silicates (K2MgSiO4, K2Ca2Si2O7, CaSiO3). In contrast, WSA with lower CaO (4.92%) and MgO (2.82%) tends to form low-melting potassium silicates. At high temperatures, both slags are typical crystalline slags, with viscosity rising sharply below a critical temperature. For CSA, rapid nucleation and coarsening of silicate crystals (e.g., KAlSiO4 grain size increases from 20.5 nm at 1350 °C to 192.9 nm at 1050 °C) cause abrupt viscosity increase. For WSA, a high P2O5 content (10.05%) induces a 'chemical dilution effect', leading to persistent KAlSiO4 during cooling and elevated viscosity, especially at the final cooling stage. This study elucidates how ash chemical composition governs high-temperature phase equilibrium and non-equilibrium kinetics, thereby macroscopically affecting ash fusion and rheological behavior, providing a theoretical basis for deeper understanding of biomass ash high-temperature characteristics.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026021301
Lithium cobalt oxide (LCO) nanoparticles (NPs), generated during the lifecycle of LCO batteries via mechanical wear, pose respiratory health risks. This study systematically assessed LCO NPs' physicochemical properties, ion release, and immunotoxicity using multi-scale models. LCO NPs exhibited irregular morphology, layered crystal structure, good dispersion, and negative surface charge. Cobalt ion release was minimal: 1.03% in deionized water and 0.11% in cell culture medium. In vitro, LCO NPs significantly induced reactive oxygen species (ROS) production and secretion of pro-inflammatory cytokines (IL-6, IL-1β, TNF-α) in macrophages, promoting M1 polarization. In vivo, intranasal exposure caused dose-dependent pulmonary accumulation, alveolar destruction, inflammatory cell infiltration, and elevated cytokines in bronchoalveolar lavage fluid (BALF). Transcriptomic analysis revealed significant enrichment of NF-κB, JAK-STAT, and Toll-like receptor signaling pathways, implicating these in macrophage activation and inflammation amplification. This multi-level study elucidates LCO NPs' immunotoxicity mechanisms, providing a scientific basis for environmental health risk assessment and management of lithium-ion battery materials.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608003
The transition of municipal wastewater treatment from energy-intensive aerobic processes to energy-recovering anaerobic technologies is critical for achieving carbon neutrality. However, anaerobic treatment of low-strength wastewater faces operational challenges, especially after prolonged shutdowns and under low-temperature stress. This study investigated the recovery and performance of a pilot-scale anaerobic filter (AF) packed with volcanic rock media (effective volume 240 L) treating actual municipal wastewater. After a 234-day starvation period, the AF recovered within 63 days by extending hydraulic retention time from 8 to 12 hours, achieving total chemical oxygen demand (TCOD) and soluble chemical oxygen demand (SCOD) removal amounts of 58.6 mg/L and 21.5 mg/L, respectively. Following 100 days of low-temperature operation (influent temperature dropped to 11.7 °C), TCOD and SCOD removal amounts remained at 54.6 mg/L and 28.6 mg/L, respectively. Although methane production volume decreased, the specific methane yield was not significantly affected (0.276 L CH4/g TCODre during recovery vs. 0.244 L CH4/g TCODre under low temperature). Mechanistic analysis revealed that increased protein secretion in extracellular polymeric substances (EPS) was crucial for resistance to low-temperature stress, with protein content negatively correlated with temperature. Microbial community analysis showed that functional populations recovered in the order of hydrolytic acidogens, hydrogen-producing acetogens, and methanogens. Methanobacterium dominated after starvation, while Methanosaeta became dominant after low-temperature exposure due to its high affinity for acetate. Carbon footprint accounting indicated that recovering dissolved methane and coupling with nitrate-dependent methane oxidation is the optimal strategy for carbon reduction.