{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lin S"],"funding":["National Natural Science Foundation of China (National Science Foundation of China)"],"pagination":["2374"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10943239"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"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<sup>-1</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."],"journal":["Nature communications"],"pubmed_title":["Triboelectric micro-flexure-sensitive fiber electronics."],"pmcid":["PMC10943239"],"funding_grant_id":["No.52073057"],"pubmed_authors":["Yang W","Li Y","Lin S","Zhu X","Hou C","Wang H","Li K","Lan Y","Zhang Q"],"additional_accession":[]},"is_claimable":false,"name":"Triboelectric micro-flexure-sensitive fiber electronics.","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<sup>-1</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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-26T22:56:25.032Z","creation":"2025-04-06T17:27:01.356Z"},"accession":"S-EPMC10943239","cross_references":{"pubmed":["38490979"],"doi":["10.1038/s41467-024-46516-0"]}}