SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3792-6
The rapid expansion of home-based digital health monitoring necessitates electrodes capable of simultaneous, accurate acquisition of electrophysiological signals and body temperature. Conventional single-function electrodes, including metal block, gel, and Ag/AgCl types, suffer from limitations such as restricted movement, skin irritation, signal degradation over time, and poor permeability for prolonged use. To overcome these challenges, we developed a low-cost, multifunctional flexible electrode enabling concurrent body temperature and electrophysiological signal monitoring without cross-interference. Body temperature is assessed via visual colorimetric evaluation and precisely measured using a custom smartphone application. The electrode features high air permeability, ultra-thin architecture, superior flexibility, antibacterial properties, and strong skin adhesion, while maintaining low interfacial impedance for stable, long-term acquisition of high-fidelity signals such as electrocardiography (ECG) and surface electromyography (sEMG). Integrated with a Raspberry Pi platform and a hybrid convolutional neural network-long short-term memory (CNN-LSTM) algorithm, the system achieves intelligent arrhythmia detection with 99.30% accuracy. This novel electrode provides a powerful tool for multifunctional sensing of temperature and physiological electrical signals, with significant potential for wearable physiological tracking applications.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608015
Inter-basin water diversion projects can profoundly alter the water quality dynamics of receiving basins. Taking the Qincun Reservoir and its downstream reaches in the Huangze River Basin as a case study, this research quantitatively evaluates water-quality responses under multiple coordinated management measures. An integrated Environmental Fluid Dynamics Code-Soil and Water Assessment Tool (EFDC-SWAT) modeling framework was established, coupling a two-dimensional hydrodynamic-water-quality model for the reservoir with a hydrology-water-quality model for the downstream reaches. Seven management scenarios were designed to reflect various combinations of point- and non-point-source pollution control strategies. Simulations focused on spatiotemporal variations in key indicators—total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH3-N), and permanganate index (CODMn)—and assessed pollution-load reduction effectiveness. Comparative analysis using the comprehensive water quality identification index (CWQII) revealed that under Scenario 3 (highest pollution-control standards with lowest diversion volume), TN and TP concentrations in the reservoir decreased by 80% and 50%, respectively, achieving Class II water-quality standards. Downstream TN and TP levels declined by 36% and 33%, and the CWQII improved from 4.211 to 3.410. Land consolidation contributed 77% and 45% to TN and TP load reductions in the reservoir, respectively, while a 20% reduction in diversion volume was most effective in improving downstream TN (>50%). These results demonstrate that the coupled EFDC-SWAT model effectively elucidates mechanisms through which inter-basin water diversion influences water quality in supply areas. Moreover, synergistic point- and non-point-source controls exhibit a nonlinear enhancement effect on overall water-quality improvement.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4145-0
Conductive fibers face a fundamental trade-off between high electrical conductivity and substantial mechanical stretchability, which critically undermines their reliability under extreme or dynamic mechanical conditions. To overcome this challenge, we report a bio-inspired, hierarchically structured conductive fiber engineered by mimicking the parallel-fibril architecture and integrated matrix of skeletal muscle. This fiber is constructed from multiple parallel spandex yarns as the elastic core, a continuous liquid metal (LM) layer as the conductive pathway, and a composite waterborne polyurethane (WPU)/fluoropolymer (FP) sheath as the protective matrix. This unique architecture concurrently delivers exceptional stretchability (>3500%), high electrical conductivity (3.76 × 10^5 S m−1), and outstanding stability against water and mechanical abrasion. Leveraging its excellent conductivity and mechanical compliance, the fiber can be woven into textiles and function as a receiving coil for efficient wireless power transfer. Additionally, a twisted-pair capacitive strain sensor fabricated from this fiber demonstrates a broad, linear response up to 1000% strain. When integrated into garments, the sensor effectively monitors a wide range of physiological activities, from gross joint movements to subtle biological signals, including wrist pulse, vocal vibration, ballistocardiogram, and respiration. This work presents a conductive fiber that integrates high conductivity, ultra-stretchability, waterproofness, and long-term durability, offering a robust material platform and a scalable fabrication strategy for advancing all-weather health-monitoring systems, smart textiles, and next-generation wearable electronics.