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Verified CAS / Academic Author2 Decoded Studies

Prof. SHEN Yifan

College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, P. R. China; Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350108, P. R. China

Co-Affiliations:State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4467-x

Ultra-flexible Transparent Self-powered Triboelectric Sensors for Eyelash-Guided Human-Machine Interaction

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.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025121001

Progress in Design, Preparation and Application of Ion Chromatography Stationary Phases for Analysis of Anions in Water

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.