<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lin S</submitter><funding>National Natural Science Foundation of China (National Science Foundation of China)</funding><pagination>2374</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10943239</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Developing fiber electronics presents a practical approach for establishing multi-node distributed networks within the human body, particularly concerning triboelectric fibers. However, realizing fiber electronics for monitoring micro-physiological activities remains challenging due to the intrinsic variability and subtle amplitude of physiological signals, which differ among individuals and scenarios. Here, we propose a technical approach based on a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This scheme enhances the accuracy of the signal transmission process, resulting in improved sensitivity (detectable signal at ultra-low curvature of 0.1 mm&lt;sup>-1&lt;/sup>; flexure factor >21.8% within a bending range of 10°.) and robustness of fiber under micro flexure. In addition, we also developed a scalable manufacturing process and ensured compatibility with modern weaving techniques. By combining precise micro-curvature detection, micro-flexure-sensitive fibers unlock their full potential for various subtle physiological diagnoses, particularly in monitoring fiber upper limb muscle strength for rehabilitation and training.</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Triboelectric micro-flexure-sensitive fiber electronics.</pubmed_title><pmcid>PMC10943239</pmcid><funding_grant_id>No.52073057</funding_grant_id><pubmed_authors>Yang W</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Lin S</pubmed_authors><pubmed_authors>Zhu X</pubmed_authors><pubmed_authors>Hou C</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Li K</pubmed_authors><pubmed_authors>Lan Y</pubmed_authors><pubmed_authors>Zhang Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Triboelectric micro-flexure-sensitive fiber electronics.</name><description>Developing fiber electronics presents a practical approach for establishing multi-node distributed networks within the human body, particularly concerning triboelectric fibers. However, realizing fiber electronics for monitoring micro-physiological activities remains challenging due to the intrinsic variability and subtle amplitude of physiological signals, which differ among individuals and scenarios. Here, we propose a technical approach based on a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This scheme enhances the accuracy of the signal transmission process, resulting in improved sensitivity (detectable signal at ultra-low curvature of 0.1 mm&lt;sup>-1&lt;/sup>; flexure factor >21.8% within a bending range of 10°.) and robustness of fiber under micro flexure. In addition, we also developed a scalable manufacturing process and ensured compatibility with modern weaving techniques. By combining precise micro-curvature detection, micro-flexure-sensitive fibers unlock their full potential for various subtle physiological diagnoses, particularly in monitoring fiber upper limb muscle strength for rehabilitation and training.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-26T22:56:25.032Z</modification><creation>2025-04-06T17:27:01.356Z</creation></dates><accession>S-EPMC10943239</accession><cross_references><pubmed>38490979</pubmed><doi>10.1038/s41467-024-46516-0</doi></cross_references></HashMap>