Nitrogen and Sulfur Rich Covalent Organic Framework‐Chitosan Triboelectric Nanogenerator for Disposable Urination Evaluation Tool

Author:

Sathiyanathan Ponnan1,Saatchi Daniel1,Boo Yeonju2,Mahato Manmatha1ORCID,Wicklein Bernd13,Kim Ji‐Seok1,Yoo Hyunjoon1,Song Tae‐Eun1,Taseer Ashhad Kamal1,Kim Won Jong2,Oh Il‐Kwon1ORCID

Affiliation:

1. National Creative Research Initiative for Functionally Antagonistic Nano‐Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of Korea

2. Department of Chemistry Pohang University of Science and Technology 77 Cheongam‐ro, Nam‐gu Pohang 37673 Republic of Korea

3. Materials Science Institute of Madrid (ICMM) Consejo Superior de Investigaciones Científicas (CSIC) Madrid 28049 Spain

Abstract

AbstractRegular health checkups are crucial for the identification of problems in connection with acute and chronic diseases. Early detection helps patients prevent disease progression, receive more effective treatment, and improve their overall prognosis and quality of life. In this context, the introduction of cost‐effective, advanced sensor technology for the monitoring of healthcare is an essential and unavoidable approach. The present study proposes a disposable triboelectric nanogenerator (TENG) based sensor for a novel urination condition evaluation methodology that is integrated with an artificial intelligence (AI) algorithm. The disposable TENG sensor is fabricated using chitosan‐covalent organic framework (CS‐NSCoF). The optimized CS‐NSCoF (4%) composite, in contact with fluorinated ethylene propylene (FEP), yields remarkable output performance metrics: a peak‐to‐peak voltage of 132 V, a short‐circuit current of ≈2.38 µA, and an average power density of 10.89 mW m2 at a load resistance of 200 MΩ. Notably, biocompatibility assessments confirm the non‐toxic nature of the CS‐NSCoF sample in this investigation.

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

Cited by 1 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