{"title":"A survey of PCF-based sensors for various disease detection applications","authors":"Sreevani Alluru , Siva Prasad Valluri","doi":"10.1016/j.yofte.2025.104439","DOIUrl":null,"url":null,"abstract":"<div><div>Photonic crystal fibers (PCFs) have emerged as transformative tools for biomedical monitoring, offering exceptional sensitivity and versatility. This review examines the first comprehensive survey of PCF-based sensors designed explicitly for disease detection, including cancer, malaria, Alzheimer’s disease, COVID-19, brain tumors, and physiological parameters. Key design parameters, including core geometry, material selection, and functional coatings, are analyzed to elucidate their impact on performance metrics such as refractive index sensitivity, detection limit, and spectral response. Additionally, this review highlights the computation of essential characteristics namely confinement loss, relative sensitivity, wavelength sensitivity, and amplitude sensitivity, providing a comprehensive perspective on their capabilities and applications. This review also addresses the limitations, problems, and advantages of the various PCF structures. Finally, we discuss fabrication challenges and outline future opportunities, including Artificial Intelligence (AI) integration and multi-disease biosensing.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"95 ","pages":"Article 104439"},"PeriodicalIF":2.7000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520025003141","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Photonic crystal fibers (PCFs) have emerged as transformative tools for biomedical monitoring, offering exceptional sensitivity and versatility. This review examines the first comprehensive survey of PCF-based sensors designed explicitly for disease detection, including cancer, malaria, Alzheimer’s disease, COVID-19, brain tumors, and physiological parameters. Key design parameters, including core geometry, material selection, and functional coatings, are analyzed to elucidate their impact on performance metrics such as refractive index sensitivity, detection limit, and spectral response. Additionally, this review highlights the computation of essential characteristics namely confinement loss, relative sensitivity, wavelength sensitivity, and amplitude sensitivity, providing a comprehensive perspective on their capabilities and applications. This review also addresses the limitations, problems, and advantages of the various PCF structures. Finally, we discuss fabrication challenges and outline future opportunities, including Artificial Intelligence (AI) integration and multi-disease biosensing.
期刊介绍:
Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews.
Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.