{"title":"Photonic Crystal Fiber-Based Sensors for Various Cancer Detection in Human Body: A Review","authors":"Srishti Singh;Dharmendra Kumar;Anupam Sahu;Vijay Shanker Chaudhary;Ghanshyam Singh;Santosh Kumar","doi":"10.1109/JSEN.2024.3524325","DOIUrl":null,"url":null,"abstract":"The development of compact, highly sensitive sensors for real-time analyte detection is crucial for medical diagnostics. The promising characteristics of photonic crystal fibers (PCFs) have captivated researchers, driving efforts to develop sensors for early cancer detection. The microscopic air holes within the PCF structure allow analytes to be inserted, enabling precise interaction between confined light and analyte for detecting malignancies. This review examines PCFs’ potential in cancer detection, focusing on principles like evanescent waves (EWs), surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), and interferometry. SPR-based PCF sensors stand out for their design flexibility and optical properties, showing great promise for cancer detection and potential clinical applications. This review also emphasizes recent developments in PCF-SPR sensors, addressing their performance and possible improvements.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 4","pages":"5956-5968"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10832518/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The development of compact, highly sensitive sensors for real-time analyte detection is crucial for medical diagnostics. The promising characteristics of photonic crystal fibers (PCFs) have captivated researchers, driving efforts to develop sensors for early cancer detection. The microscopic air holes within the PCF structure allow analytes to be inserted, enabling precise interaction between confined light and analyte for detecting malignancies. This review examines PCFs’ potential in cancer detection, focusing on principles like evanescent waves (EWs), surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), and interferometry. SPR-based PCF sensors stand out for their design flexibility and optical properties, showing great promise for cancer detection and potential clinical applications. This review also emphasizes recent developments in PCF-SPR sensors, addressing their performance and possible improvements.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice