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/s40843-025-3553-7
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/s40843-025-3506-3
Metallic glasses (MGs) often suffer from sluggish hydrogen evolution reaction (HER) kinetics in neutral and alkaline media, with their catalytic performance predominantly confined to acidic environments. Herein, we reported a novel thermoplastic forming technique to fabricate a self-supported partially crystallized nanoporous Pt56.2Ni5.2Cu16.8P21.8 metallic glass (C-NPMG). The C-NPMG catalyst delivers ultralow overpotentials of 18.0 mV (0.5 M H2SO4), 42.2 mV (1 M KOH), and 88.0 mV (1 M phosphate-buffered saline (PBS)) at a current density of 10 mA cm−2, outperforming most state-of-the-art non-noble MGs and Pt-based benchmarks across all pH conditions. Notably, it maintains negligible performance decay for over 1000 h in alkaline electrolytes, showcasing superior stability. Experimental and computational analyses reveal that the enhanced HER activity arises from three synergistic effects: (1) the high-specific-surface-area nanoporous architecture that maximizes active site exposure; (2) the formation of crystallite-amorphous interfaces during partial crystallization, which lowers the energy barrier for H2 desorption; (3) the hierarchical super-hydrophilic and super-hydrophobic wettability of the C-NPMG, which optimizes mass transport and prevents electrolyte-induced corrosion. This work establishes a novel design paradigm for developing high-performance, pH-universal HER electrocatalysts by integrating structural nano-engineering and crystallite-amorphous phase synergy in metallic glass systems to overcome the trade-offs between performance and stability in electrochemical water splitting.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507027
Ammonia nitrogen (NH3-N) is a common water pollutant that can induce eutrophication and threaten aquatic ecosystems and human health. Accurate monitoring is essential for water safety. This study applied a self-developed gas-permeable membrane-based conductivity sensor (GPMCS) for real-time in-situ monitoring of NH3-N in two water bodies. In the Qunying River (surface river water), GPMCS captured concentration fluctuations linked to pump operations and sewage intrusion, with mean inlet and outlet concentrations of 4.67 and 3.42 mg/L, respectively. In Swan Lake (landscape aquaculture water), concentrations reached up to 11.16 mg/L, with site means of 6.42 and 7.04 mg/L, influenced by aquaculture activities, weather, and location. GPMCS results correlated strongly with national standard methods (r1=0.8132, r2=0.7483), confirming accuracy and reliability. Compared to existing techniques, GPMCS offers high selectivity, strong anti-interference, portability, no sample pretreatment, low cost, and environmental friendliness, making it suitable for long-term in-situ monitoring. This technology provides robust support for sustainable water environment management.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202505012
Sediment risk assessment for lakes and rivers often neglects the distinction between in-situ ecological risks and ex-situ comprehensive utilization risks. This study proposes a multi-scenario risk assessment model incorporating both in-situ and ex-situ contexts. For the in-situ scenario, a dual-background-value potential ecological risk assessment was applied using national and Yunnan soil background values. For ex-situ scenarios, pollution risk assessment models were established for agricultural land (paddy and other) and construction land (Class I and II). Taking the Dianchi Lake dredging project as a case study, 92 sediment samples from polluted and transition layers at 46 grid points were analyzed for six heavy metals (As, Hg, Cd, Zn, Cu, Cr). Results showed: (1) Under different background values, ≥97.83% of samples exhibited moderate or higher ecological risk, with Hg and Cd as main contributors, Hg posing higher risk. (2) In agricultural scenarios (paddy/orchard and other), 95.65% of points had unacceptable risk, with comprehensive pollution intensity order Cd>Cu>Zn>As>Cr; for Class I construction land, As was the target pollutant with 93.48% of points unacceptable, while Class II land was acceptable. (3) Spatial heterogeneity was significant: horizontal risk was higher at the lake outlet than at the Cixiang River inlet; vertical risk was higher in the polluted layer than in the transition layer, with Hg and Cd potential ecological risk coefficients 11.58% and 24.19% higher, and comprehensive potential ecological risk index 43.27% higher. Pollution coefficients for Cd, Zn, Cu (agricultural) and As (Class I construction) increased by 123.02%, 6.3%, 4.1%, and 41.02% in the polluted layer. (4) Different evaluation methods yielded significantly different results, indicating that metals without potential ecological risk may still pose pollution risk in utilization scenarios, necessitating comprehensive consideration in remediation.
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 Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60695-0
The direct carbonylation of glycerol with CO2 to glycerol carbonate represents a promising route for CO2 utilization, addressing both carbon emission reduction and the synthesis of value-added chemicals. However, the reaction is thermodynamically limited, resulting in low glycerol conversion, necessitating the use of coupling agents and appropriate catalysts. This review systematically examines recent progress in homogeneous catalysts (inorganic and organic bases) and heterogeneous catalysts (Zn, Cu, Ce, La, Mg, noble metals, modified zeolites, non-metallic materials) for this transformation. Strategies such as metal oxide modification, support optimization, precursor selection, and construction of acidic-basic sites are analyzed for enhancing catalytic performance. The effects of coupling agents including acetonitrile, adiponitrile, 2-cyanopyridine, MgCO3, CaC2, and NaHCO3 are summarized. Notably, 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU), Zn(QTf)2, and metal composite oxides like ZnO-CeO2 have demonstrated promising catalytic performance. Future research directions include developing organometallic complexes or composite metal oxides with highly dispersed active sites and tailored morphologies to modulate surface area, pore size, and acidity/basicity; optimizing coupling agents or designing novel membrane reactors to improve glycerol conversion; and introducing polar solvents to enhance reactant adsorption and activation. These approaches provide valuable references for catalyst design and reaction system optimization in the carbonylation of glycerol with CO2.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026050701
Azo food colorants are persistent aquatic pollutants posing risks to ecosystems and human health. Utilizing biomass waste to produce low-cost activated carbon offers a sustainable strategy for their removal. In this study, activated carbon (HPR-AC) was synthesized from Haematococcus pluvialis residue via phosphoric acid activation, and its adsorption performance was evaluated using Sunset Yellow (SY), Ponceau 4R (P4R), and Tartrazine (TY) as model pollutants. The effects of solution pH, adsorbent dosage, initial dye concentration, and temperature on adsorption efficiency were systematically examined. Characterization by BET, FTIR, XRD, and XPS revealed that HPR-AC possesses a high specific surface area and an abundant mesoporous structure. The adsorption process was well described by the Langmuir isotherm and pseudo-second-order kinetic models, indicating monolayer chemisorption and an endothermic nature. At pH 5 and 55 °C, the maximum adsorption capacities reached 67.12, 79.72, and 72.75 mg·g−1 for SY, P4R, and TY, respectively. Statistical physics modeling further suggested a multilayer physical adsorption mechanism, primarily governed by pore filling, electrostatic interactions, hydrogen bonding, π-π stacking, and charge transfer. These findings provide both theoretical insights and empirical data for the valorization of H. pluvialis residue and the development of efficient, sustainable adsorbents for azo dye removal from water.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4144-y
Developing efficient strategies for electrically manipulating two-dimensional magnetism at room temperature is a key challenge in contemporary spintronics. In this study, we demonstrate giant electromechanical control over the magnetism of the room-temperature van der Waals ferromagnet Fe3GaTe2 by integrating it with the ferroelectric α-In2Se3. Modest gate voltages lead to an almost complete suppression of the coercive field by 96.5%, corresponding to a remarkable peak modulation sensitivity of ~8.1 mT V−1, which stands out among existing van der Waals magnetoelectric systems. Importantly, this substantial magnetoelectric response is predominantly unaffected by voltage polarity, as both positive and negative gate voltages induce similar magnetic modulation effects. To elucidate the underlying mechanism, we tracked the voltage-induced Raman spectral changes, revealing a peak shift of 1.7 cm−1 that accurately represents an effective in-plane tensile strain of ~1.42% under an equivalent bias, demonstrating polarity independence as well. The synchronized magnetic response and strain variation unequivocally indicate that the induced tensile strain serves as the fundamental physical driver behind the magnetic modulation. Additionally, density functional theory calculations corroborate that the reduction in magnetic anisotropy induced by tensile strain results in a decrease in the coercive field. Our work establishes a novel and efficient approach for achieving voltage control of magnetism at room temperature in van der Waals multiferroic heterostructures, highlighting their significant potential for applications in ultra-low-power magnetic logic and sensing technologies.