{"title":"智能手机辅助生物传感器在即时诊断中的应用:集成、应用和未来挑战","authors":"Haluk Çelik, Balım Bengisu Caf, Gizem Çebi","doi":"10.1007/s11696-025-04319-7","DOIUrl":null,"url":null,"abstract":"<div><p>Point-of-care (POC) diagnostics is being revolutionized by smartphone-assisted biosensors, which combine cutting-edge sensing technologies with the computing power and connectivity of smartphones. These biosensors provide a portable and affordable substitute for conventional laboratory-based diagnostics by enabling the quick, real-time analysis of physiological parameters and biomarkers. Smartphone-assisted biosensors enable continuous health monitoring, enhanced patient engagement, and early disease detection by utilizing optical, electrochemical, and biomarker-based detection techniques. The development of smartphone-assisted biosensing platforms is reviewed in this article, along with their technological integration, detection methods, and medical applications. Sensor accuracy, data security, regulatory approval, and standardization continue to be challenges despite the progress. The impact of recent advancements on infectious disease management, chronic disease monitoring, and personalized medicine is highlighted in this review, which critically assesses wearable biosensors, AI-driven analytics, and smartphone-integrated disease detection systems.</p></div>","PeriodicalId":513,"journal":{"name":"Chemical Papers","volume":"79 11","pages":"7323 - 7342"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smartphone-assisted biosensors in point-of-care diagnostics: integration, applications, and future challenges\",\"authors\":\"Haluk Çelik, Balım Bengisu Caf, Gizem Çebi\",\"doi\":\"10.1007/s11696-025-04319-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Point-of-care (POC) diagnostics is being revolutionized by smartphone-assisted biosensors, which combine cutting-edge sensing technologies with the computing power and connectivity of smartphones. These biosensors provide a portable and affordable substitute for conventional laboratory-based diagnostics by enabling the quick, real-time analysis of physiological parameters and biomarkers. Smartphone-assisted biosensors enable continuous health monitoring, enhanced patient engagement, and early disease detection by utilizing optical, electrochemical, and biomarker-based detection techniques. The development of smartphone-assisted biosensing platforms is reviewed in this article, along with their technological integration, detection methods, and medical applications. Sensor accuracy, data security, regulatory approval, and standardization continue to be challenges despite the progress. The impact of recent advancements on infectious disease management, chronic disease monitoring, and personalized medicine is highlighted in this review, which critically assesses wearable biosensors, AI-driven analytics, and smartphone-integrated disease detection systems.</p></div>\",\"PeriodicalId\":513,\"journal\":{\"name\":\"Chemical Papers\",\"volume\":\"79 11\",\"pages\":\"7323 - 7342\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Papers\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11696-025-04319-7\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Papers","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s11696-025-04319-7","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
Smartphone-assisted biosensors in point-of-care diagnostics: integration, applications, and future challenges
Point-of-care (POC) diagnostics is being revolutionized by smartphone-assisted biosensors, which combine cutting-edge sensing technologies with the computing power and connectivity of smartphones. These biosensors provide a portable and affordable substitute for conventional laboratory-based diagnostics by enabling the quick, real-time analysis of physiological parameters and biomarkers. Smartphone-assisted biosensors enable continuous health monitoring, enhanced patient engagement, and early disease detection by utilizing optical, electrochemical, and biomarker-based detection techniques. The development of smartphone-assisted biosensing platforms is reviewed in this article, along with their technological integration, detection methods, and medical applications. Sensor accuracy, data security, regulatory approval, and standardization continue to be challenges despite the progress. The impact of recent advancements on infectious disease management, chronic disease monitoring, and personalized medicine is highlighted in this review, which critically assesses wearable biosensors, AI-driven analytics, and smartphone-integrated disease detection systems.
Chemical PapersChemical Engineering-General Chemical Engineering
CiteScore
3.30
自引率
4.50%
发文量
590
期刊介绍:
Chemical Papers is a peer-reviewed, international journal devoted to basic and applied chemical research. It has a broad scope covering the chemical sciences, but favors interdisciplinary research and studies that bring chemistry together with other disciplines.