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湿气发电纤维结构与性能研究进展OA

Research advances in the structure and performance of moist-electric generation fibers

中文摘要英文摘要

湿气发电作为一种新兴的清洁能源收集方式,近年来受到广泛关注.其基本原理主要包括流动电流效应与离子梯度扩散效应.湿气发电纤维凭借质轻、柔韧和可编织等优势,在可穿戴能源器件领域展现出巨大潜力.本文综述了近年湿气发电纤维的研究进展,重点介绍了三类典型材料体系:碳纳米管基纤维,具有优异的导电性和柔韧性,能够实现较高的电流输出;氧化石墨烯基纤维,凭借其丰富的含氧官能团与离子传输特性,在构建浓度梯度方面具有独特优势;非对称结构纤维,通过轴向或径向的官能团分布差异设计,有效增强了离子的定向迁移能力,显著提升了电输出性能.尽管当前湿气发电纤维在输出性能、稳定性及纺织工艺兼容性等方面仍面临挑战,但随着材料设计、结构优化和器件集成的不断发展,其在智能纺织、可穿戴电子和环境监测等领域仍然具有广阔的应用前景.

Moist-electric generation(MEG),an emerging clean energy harvesting technology,has attracted growing attention in recent years.The underlying mechanisms mainly involve streaming current and ion gradient diffusion.Owing to their lightweight,flexibility,and excellent weavabili-ty,MEG fibers hold great promise for wearable energy application.This review highlights recent advances in MEG fibers,with emphasis on three representative categories:carbon nanotube(CNT)-based fibers,featuring high electrical conductivity and mechanical flexibility,which enable considerable current output;graphene oxide(GO)-based fibers,which take advantage of abundant oxygen-containing functional groups and efficient ion transport to establish strong concentration gradients;and asymmetric-structured fibers,engineered through differential axial or radial gradi-ents of functional groups,effectively promote directional ion migration and thus significantly en-hance electrical output.Although there exist challenges in output performance,long-term stabili-ty,and textile-processing compatibility,MEG fibers show tremendous potential for smart tex-tiles,wearable electronics,and environmental monitoring,supported by advances in material de-sign,structural optimization,and device integration.

宾月珍;王海;曲美洁;张芮

大连理工大学化工学院,辽宁大连 116024大连理工大学化工学院,辽宁大连 116024大连理工大学化工学院,辽宁大连 116024大连理工大学化工学院,辽宁大连 116024

轻工纺织

湿气发电纤维碳纳米管氧化石墨烯非对称结构能量收集

moist-electric generation fibercarbon nanotubesgraphene oxideasymmetric struc-tureenergy harvesting

《纺织高校基础科学学报》 2026 (1)

45-56,12

国家自然科学基金(22073015)科技部重点研发计划(2022YFB3704600)

10.13338/j.issn.1006-8341.2026.01.004

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