A Biomimetic Nociceptor Using Centrosymmetric Crystals for Machine Intelligence

Author:

Wang Wenjie1,Wang Yingfei1,Xiang Li1,Chen Long2,Yu Lilei3,Pan Anlian1,Tan Jie1,Yuan Quan13ORCID

Affiliation:

1. Molecular Science and Biomedicine Laboratory (MBL) State Key Laboratory of Chemo/Biosensing and Chemometrics Key Laboratory for Micro‐Nano Physics and Technology of Hunan Province College of Chemistry and Chemical Engineering College of Materials Science and Engineering Hunan University Changsha 410082 China

2. Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau SAR China

3. College of Chemistry and Molecular Sciences Department of Cardiology Institute of Molecular Medicine Renmin Hospital of Wuhan University Wuhan University Wuhan 430072 China

Abstract

AbstractPain sensation is a crucial aspect of perception in the body. Force‐activated nociceptors encode electrochemical signals and yield multilevel information of pain, thus enabling smart feedback. Inspired by the natural template, multi‐dimensional mechano‐sensing materials provide promising approaches for biomimetic nociceptors in intelligent terminals. However, the reliance on non‐centrosymmetric crystals has narrowed the range of these materials. Here centrosymmetric crystal Cr3+‐doped zinc gallogermanate (ZGGO:Cr) with multi‐dimensional mechano‐sensing is reported, eliminating the limitation of crystal structure. Under forces, ZGGO:Cr generates electrical signals imitating those of neuronal systems, and produces luminescence for spatial mapping of mechanical stimuli, suggesting a path toward bionic pain perception. On that basis, a wireless biomimetic nociceptor system is developed and a smart pain reflex in a robotic hand and robot‐assisted biopsy surgery of rat and dog is achieved.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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