基于智能手机的人类传染性病原体生物传感诊断

IF 3.2 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Progress in Biophysics & Molecular Biology Pub Date : 2023-07-01 DOI:10.1016/j.pbiomolbio.2023.05.002
Aditya Amrut Pawar , Sanchita Bipin Patwardhan , Sagar Barage , Rajesh Raut , Jaya Lakkakula , Arpita Roy , Rohit Sharma , Jigisha Anand
{"title":"基于智能手机的人类传染性病原体生物传感诊断","authors":"Aditya Amrut Pawar ,&nbsp;Sanchita Bipin Patwardhan ,&nbsp;Sagar Barage ,&nbsp;Rajesh Raut ,&nbsp;Jaya Lakkakula ,&nbsp;Arpita Roy ,&nbsp;Rohit Sharma ,&nbsp;Jigisha Anand","doi":"10.1016/j.pbiomolbio.2023.05.002","DOIUrl":null,"url":null,"abstract":"<div><p>The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with other devices and sensors, smartphones have shown potential for detecting, visualizing, collecting, and transferring data, enabling rapid disease diagnosis. In resource-limited settings, the user-friendly operating system of smartphones allows them to function as a point-of-care platform for healthcare and disease diagnosis. Herein, we critically reviewed the smartphone-based biosensors for the diagnosis and detection of diseases caused by infectious human pathogens, such as deadly viruses, bacteria, and fungi. These biosensors use several analytical sensing methods, including microscopic imaging, instrumental interface, colorimetric, fluorescence, and electrochemical biosensors. We have discussed the diverse diagnosis strategies and analytical performances of smartphone-based detection systems in identifying infectious human pathogens, along with future perspectives.</p></div>","PeriodicalId":54554,"journal":{"name":"Progress in Biophysics & Molecular Biology","volume":"180 ","pages":"Pages 120-130"},"PeriodicalIF":3.2000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smartphone-based diagnostics for biosensing infectious human pathogens\",\"authors\":\"Aditya Amrut Pawar ,&nbsp;Sanchita Bipin Patwardhan ,&nbsp;Sagar Barage ,&nbsp;Rajesh Raut ,&nbsp;Jaya Lakkakula ,&nbsp;Arpita Roy ,&nbsp;Rohit Sharma ,&nbsp;Jigisha Anand\",\"doi\":\"10.1016/j.pbiomolbio.2023.05.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with other devices and sensors, smartphones have shown potential for detecting, visualizing, collecting, and transferring data, enabling rapid disease diagnosis. In resource-limited settings, the user-friendly operating system of smartphones allows them to function as a point-of-care platform for healthcare and disease diagnosis. Herein, we critically reviewed the smartphone-based biosensors for the diagnosis and detection of diseases caused by infectious human pathogens, such as deadly viruses, bacteria, and fungi. These biosensors use several analytical sensing methods, including microscopic imaging, instrumental interface, colorimetric, fluorescence, and electrochemical biosensors. We have discussed the diverse diagnosis strategies and analytical performances of smartphone-based detection systems in identifying infectious human pathogens, along with future perspectives.</p></div>\",\"PeriodicalId\":54554,\"journal\":{\"name\":\"Progress in Biophysics & Molecular Biology\",\"volume\":\"180 \",\"pages\":\"Pages 120-130\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Biophysics & Molecular Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0079610723000469\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Biophysics & Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079610723000469","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

智能手机的广泛使用使每个人都更容易访问大量数据。智能手机功能强大、方便且易于操作,是通过诊断改善公众健康的宝贵工具。当与其他设备和传感器相结合时,智能手机已显示出检测、可视化、收集和传输数据的潜力,从而实现快速疾病诊断。在资源有限的环境中,智能手机用户友好的操作系统允许它们作为医疗保健和疾病诊断的护理点平台。在此,我们批判性地回顾了基于智能手机的生物传感器,用于诊断和检测由传染性人类病原体引起的疾病,如致命病毒、细菌和真菌。这些生物传感器使用几种分析传感方法,包括显微镜成像、仪器界面、比色、荧光和电化学生物传感器。我们讨论了基于智能手机的检测系统在识别人类传染性病原体方面的不同诊断策略和分析性能,以及未来的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Smartphone-based diagnostics for biosensing infectious human pathogens

The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with other devices and sensors, smartphones have shown potential for detecting, visualizing, collecting, and transferring data, enabling rapid disease diagnosis. In resource-limited settings, the user-friendly operating system of smartphones allows them to function as a point-of-care platform for healthcare and disease diagnosis. Herein, we critically reviewed the smartphone-based biosensors for the diagnosis and detection of diseases caused by infectious human pathogens, such as deadly viruses, bacteria, and fungi. These biosensors use several analytical sensing methods, including microscopic imaging, instrumental interface, colorimetric, fluorescence, and electrochemical biosensors. We have discussed the diverse diagnosis strategies and analytical performances of smartphone-based detection systems in identifying infectious human pathogens, along with future perspectives.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Progress in Biophysics & Molecular Biology
Progress in Biophysics & Molecular Biology 生物-生化与分子生物学
CiteScore
8.60
自引率
7.90%
发文量
85
审稿时长
85 days
期刊介绍: Progress in Biophysics & Molecular Biology is an international review journal and covers the ground between the physical and biological sciences since its launch in 1950. It indicates to the physicist the great variety of unsolved problems awaiting attention in biology and medicine. The biologist and biochemist will find that this journal presents new and stimulating ideas and novel approaches to studying and influencing structural and functional properties of the living organism. This journal will be of particular interest to biophysicists, biologists, biochemists, cell physiologists, systems biologists, and molecular biologists.
期刊最新文献
Roles of gastric cancer-derived exosomes in the occurrence of metastatic hepatocellular carcinoma. Vinculin: A new target for the diagnosis and treatment of disease. The main sources of molecular organization in the cell. Atlas of self-organized and self-regulated dynamic biostructures. The regulatory role of integrin in gastric cancer tumor microenvironment and drug resistance. Single-cell RNA sequencing in ovarian cancer: Current progress and future prospects.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1