Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

IF 26.6 1区 材料科学 Q1 Engineering
Jiawang Hu, Hao Qian, Sanyang Han, Ping Zhang, Yuan Lu
{"title":"Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease","authors":"Jiawang Hu,&nbsp;Hao Qian,&nbsp;Sanyang Han,&nbsp;Ping Zhang,&nbsp;Yuan Lu","doi":"10.1007/s40820-024-01481-7","DOIUrl":null,"url":null,"abstract":"<div><h2>Highlights</h2><div>\n \n <ul>\n <li>\n <p>Photoresponsive black phosphorus (BP)/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> composites were synthesized by a self-assembly strategy.</p>\n </li>\n <li>\n <p>Enhanced gas sensitive property was achieved by visible light modulation.</p>\n </li>\n <li>\n <p>Light activated virtual sensor array was fabricated based on BP/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> composite.</p>\n </li>\n <li>\n <p>Diagnosis of coronary heart disease was achieved with the help of machine learning.</p>\n </li>\n </ul>\n </div></div>","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"16 1","pages":""},"PeriodicalIF":26.6000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11327237/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano-Micro Letters","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s40820-024-01481-7","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Highlights

  • Photoresponsive black phosphorus (BP)/Ti3C2Tx composites were synthesized by a self-assembly strategy.

  • Enhanced gas sensitive property was achieved by visible light modulation.

  • Light activated virtual sensor array was fabricated based on BP/Ti3C2Tx composite.

  • Diagnosis of coronary heart disease was achieved with the help of machine learning.

Abstract Image

利用机器学习的光激活虚拟传感器阵列用于冠心病的非侵入性诊断。
早期无创诊断冠心病(CHD)至关重要。然而,通过检测呼气来实现冠心病的准确诊断具有挑战性。在这项工作中,利用自组装策略配制了具有高气体灵敏度和光响应性的黑磷(BP)与二维碳化物和氮化物(MXene)的异质结构复合物。在光调节下制备了基于 BP/Ti3C2Tx 的光激活虚拟传感器阵列(LAVSA),并将其进一步组装成即时气体传感平台(IGSP)。此外,还引入了机器学习(ML)算法,帮助 IGSP 检测和识别呼气样本信号,以诊断心脏病。由于 BP 和 Ti3C2Tx 以及光激发的协同作用,合成的异质结构复合物比原始 Ti3C2Tx 表现出更高的性能,响应值比原始 Ti3C2Tx 高 26%。此外,在模式识别算法的帮助下,LAVSA 成功地检测和识别了 15 种气味分子,分别与醇、酮、醛、酯和酸有关。同时,在 ML 的帮助下,IGSP 对 45 名健康人和心脏病患者志愿者呼气气味的检测准确率达到了 69.2%。总之,我们设计并制造出了一种即时、低成本、准确的原型,用于无创诊断心脏病,为诊断其他疾病和其他更复杂的应用场景提供了通用解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nano-Micro Letters
Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
32.60
自引率
4.90%
发文量
981
审稿时长
1.1 months
期刊介绍: Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信