聚合物基多模传感器的制备及其在可穿戴纺织品中的应用进展OA

Wearable sensors are regarded as critical devices in the field of intelligent human monitoring applications.Deficiencies including poor flexibility,low wearing comfort and incompatibility with human dynamic deformation are commonly found in conventional rigid sensors that have been widely adopted.In addition,single-mode sensors are limited to a single monitoring dimension,so incomplete data acquisition and insufficient detection accuracy are also presented.Polymers are featured with light weight,excellent flexibility,favourable biocompatibility and facile structural design and processing,and thus are selected as ideal substrates for wearable sensors. To summarize the research status of polymer-based wearable multimodal sensors,clarify the applicable scenarios and existing drawbacks of various materials and preparation techniques,and identify the application bottlenecks in electrocardiogram(ECG)monitoring textiles,relevant literature in this field was reviewed in this work.A systematic integration was conducted from four aspects:materials,fabrication techniques,textile coupling and practical monitoring applications,and the limitations of reviews focusing merely on a single material or fabrication method were overcome.The structural characteristics,applicable scenarios,merits and demerits of four mainstream polymer sensing substrates,namely conductive polymers,hydrogel polymers,elastomers and PVDF-based fluoropolymers,were systematically summarized.On this basis,five prevailing fabrication approaches,including solution casting,electrospinning,3D printing,photolithography and wet spinning,were compared and analyzed in terms of working mechanisms,device performance strengths and technical limitations.The coupling strategies between sensors and textiles as well as the research progress of such sensors in ECG monitoring textiles were also elaborated.The performance of existing devices in dynamic monitoring,long-term wear and practical clinical detection was analyzed,and targeted solutions were proposed to address common industrial challenges such as signal crosstalk,interfacial mismatch and motion artifacts. Research results demonstrated that distinct performance differences are observed among various polymer substrates.The defects of individual materials are compensated via composite modification to meet diverse requirements of wearable monitoring.The aforementioned fabrication techniques are applied to manufacture sensors with different configurations such as thin films,nanofibers,complex three-dimensional structures,high-precision microdevices and textile filaments.Effective integration between sensors and textiles is realized through multiple coupling methods including in-fiber coupling and fabric structural coupling.At the current stage,polymer-based multimodal sensors can already achieve synchronous acquisition of multidimensional physiological signals,effectively alleviating issues such as signal crosstalk,poor interfacial stability,and motion artifact interference.Large-scale continuous fabrication has also been preliminarily implemented. Future R&D priorities can be systematically advanced in three main directions:materials,processes,and applications.At the materials level,new composite polymer materials can be developed through molecular structure design and doping modification to enhance the mechanical stability and interfacial adaptability of sensor devices.At the process level,existing fabrication techniques can be optimized,and roll-to-roll continuous fabrication processes can be developed to reduce production costs and improve the performance consistency of batch-produced devices,while intelligent algorithms can be integrated to achieve multi-source signal decoupling.At the application level,the integration structure between sensors and fabrics can be improved to reduce motion artifact interference,expand integrated monitoring of multiple physiological parameters such as ECG,body temperature,and sweat biochemistry,and promote the large-scale commercialization of high-performance polymer-based wearable multimodal sensors in healthcare monitoring.