Targeted Repair of Super‐Lubricating Surfaces via Pairing Click Chemistry

Author:

Xiang Li12ORCID,Zhang Jiawen23,Wang Wenda2,Wei Zhiyong1,Chen Yunfei1,Zeng Hongbo2ORCID

Affiliation:

1. School of Mechanical Engineering Jiangsu Key Laboratory for Design and Manufacture of Micro‐Nano Biomedical Instruments Southeast University Nanjing 211189 China

2. Department of Chemical and Materials Engineering University of Alberta Edmonton AB T6G 1H9 Canada

3. School of Materials Science and Engineering Jiangsu Key Laboratory of Construction Materials Southeast University Nanjing 211189 China

Abstract

AbstractIntact advanced lubricating coatings can rival natural hydration lubricating systems. However, once damaged, their lubricity is drastically diminished as the delaminated coating materials are either unable to re‐bond to the original substrate due to the irreversible bond breakage or easily bridge the opposing rubbing surface via non‐specific interactions. Inspired by the reversibility and selectivity of dynamic click chemistry, super‐lubricating surfaces with targeted self‐repairability are developed through a surface‐recognized strategy. The rubbing surfaces exhibit superlubricity with friction coefficient µ ≈0.002 at physiologically high pressure (≈7.5 MPa). When wear‐induced coating‐substrate breakage occurs, the lubricating materials can target and reassociate with their pairing surfaces through specific dynamic covalent linkages, circumventing surface bridging, and recovering high lubricity even upon repeated damage. This study offers an innovative paradigm for developing durable lubricating surfaces with bespoke reparability for biomedical applications.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3