SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4304-5
Comprehensive assessment of rehabilitation efficiency is essential for designing appropriate training programs for better musculoskeletal functional recovery. Existing contact-receptor-dependent rehabilitation assessment systems mostly focus on assessing the restoration of muscle function by evaluating grip strength or joint flexion angle; however, parameters reflecting neuromuscular synergistic function are always overlooked. Herein, we develop an ionoelastomer-based soft artificial electroreceptor (SAER) that integrates tele-perception and tactile sensation to track the rehabilitation process, collecting signals related to approaching speed and grip strength sequentially. The SAER uses polyurethane ionoelastomer incorporated with quasi-solid conductive salt as the electric field receptor, and is integrated on a rehabilitation-training ball after assembly to establish an untethered detection device; this enables the remote capture of hand approaching parameter within a 9 cm range, followed by the quantification of grip strength when contacting and grasping. Furthermore, a data-driven assessment system is established by integrating machine learning, which accurately classifies rehabilitation efficiency into six levels; it supports for rehabilitation evaluation and training programs adjustment. Overall, the SAER-based rehabilitation management system establishes a paradigm that synergistically evaluating parameters corresponding to neuromuscular functional restoration and holds strong potential for home-based active rehabilitation for minimizing dependence on frequent clinical supervision.
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.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604022
The resource utilization of food waste contributes to reducing environmental pollution, driving nutrient cycling and biomass energy development, and promoting the resource recycling industry, achieving a win-win outcome for environment and economy. This study evaluated the resource recovery performance and environmental impacts of producing carbon sources for wastewater treatment through hydrolysis and acidification of food waste, comparing with two conventional alternatives: anaerobic fermentation and incineration. Results showed that among the three technologies, hydrolysis for carbon source production ranked middle in resource recycling efficiency, but its environmental benefits were superior to incineration and anaerobic fermentation. The hydrolysis process did not produce additional wastewater requiring treatment, and its greenhouse gas emissions and solid waste generation intensity were relatively low, at -40.7 kg CO2-eq/t and 9.3%, respectively. Carbon sources derived from food waste can replace commercial alternatives, reducing wastewater treatment costs and promoting synergies between pollution reduction and carbon mitigation. Sensitivity analysis revealed that water content in food waste significantly influences solid impurity generation and energy recovery efficiency of hydrolysis technology. In regions with high food waste generation and carbon source demand, hydrolysis technology is recommended to facilitate large-scale synergistic treatment of wastewater and food waste.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3917-x
The escalating global challenge of antibiotic contamination demands advanced sensing technologies for environmental monitoring and public health protection. Here, we present a structurally well-defined, intercalation-engineered metal-organic framework (MOF), HSB-W18, which functions as an ultrasensitive and selective fluorescence sensor for fluoroquinolone antibiotics. Single-crystal X-ray diffraction analysis unambiguously determined both the framework architecture and the spatial organization of intercalated 2,5-dihydroxyterephthalate molecules at atomic resolution. Through ultrasound-assisted synthesis, highly stable book-shaped microsheets (HSB-W18-MS) were obtained, maintaining exceptional aqueous dispersibility and luminescence intensity for over one month. These microsheets offer distinct advantages for antibiotic detection: specific recognition of diverse fluoroquinolones via unique fluorescence signatures; highly sensitive ratiometric detection of enoxacin (ENX) with a limit of detection (LOD) of 5.62 nM and rapid response kinetics (<30 s); exceptional selectivity alongside reusability. Systematic mechanistic investigations revealed a synergistic detection process involving multiple photophysical pathways. Furthermore, a smartphone-based portable detection system was successfully implemented, and the practical utility of the sensor was validated by quantifying ENX in complex environmental samples: tap water LOD = 18.32 nM and river water LOD = 29.87 nM. This study contributes to fundamental materials science and environmental monitoring by elucidating discernible structure-property relationships in intercalated MOFs, demonstrating a robust platform for field-deployable antibiotic detection and proposing an innovative design paradigm for environmental optical sensors.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202512052
Constructed wetlands (CWs) with conventional substrates often exhibit limited removal of nitrogen and antibiotics from secondary effluent. This study developed an iron-carbon-manganese ore (Fe-C-Mn) composite substrate CW to enhance simultaneous removal of nitrogen and tetracycline (TC). Under influent TC of 2 mg·L−1 and total nitrogen (TN) of 15 mg·L−1, the Fe-C-Mn system achieved average TC removal of 91.3%, significantly higher than the gravel control (27.2%). TN and nitrate nitrogen (NO3−-N) removals reached 71.7% and 83.3%, respectively, versus 7.8% and 1.2% in the control. Substrate analysis revealed increased surface roughness and synergistic generation of active components (Fe(II)/Fe(III) and Mn(II)), driving autotrophic denitrification and TC biodegradation/chemical degradation. Microbial community analysis indicated reduced overall diversity but selective enrichment of potential TC degraders (e.g., Trichosporon, Bacillota) and denitrifiers (e.g., unclassified_f_Rhodocyclaceae). TC degradation pathways included demethylation, hydroxylation, and ring-opening, ultimately yielding small metabolites. These findings provide theoretical and technical support for enhanced removal of antibiotics and nitrogen from secondary effluent using CWs.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4162-0
The urea oxidation reaction (UOR) offers a low-energy pathway for hydrogen production via water electrolysis, but Ni-based catalysts suffer from Ni self-oxidation reaction (NSOR) that wastes energy and poisons active sites via strong CO2 adsorption. Here, we design MoN/Ni heterostructures to optimize the electronic structure of Ni sites, suppressing NSOR. X-ray photoelectron spectroscopy and X-ray absorption spectroscopy confirm the formation of electron-rich Mo and electron-deficient Ni active pairs. In-situ spectroscopy, electrochemical tests, and density functional theory calculations reveal that electron-rich Mo sites enhance urea adsorption, while electron-deficient Ni sites prevent NSOR, facilitating urea activation, intermediate conversion, and CO2 desorption. The synergistic effect yields a current density of 100 mA cm−2 at only 1.39 V vs. RHE in 1 M KOH + 0.33 M urea, outperforming many NiOOH-based catalysts. This work introduces a novel high-performance catalyst with electron-rich/electron-deficient active pairs for efficient UOR.