PCF-Based Sensors for Biomedical Applications: A Review

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Sushma Sawraj;Dharmendra Kumar;Ram Pravesh;Vijay Shanker Chaudhary;Bramha Prasad Pandey;Sneha Sharma;Santosh Kumar
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引用次数: 0

Abstract

The article provides a comprehensive overview of the current and future advances of Photonic crystal fiber (PCF) based biosensors, the research explores the impact of structural parameter variations on phase matching conditions, by investigating pitch, air hole diameter, and gold layer thickness. Currently, these surface plasmon resonance (SPR) biosensors demonstrate the ability to detect a range of biological substances such as glucose, pH, serum proteins, and similar chemicals. They have the capacity to directly identify bio-components in urine, blood, and saliva, as well as pathogens, bacteria, and contaminants in food, water, and air. The study investigates by presenting the fundamental principles of PCF biosensors, highlighting their comparative benefits over conventional biosensors. Recent studies utilizing PCF biosensors for various application are reviewed, the findings of the review suggest that the integration of SPR enhances the sensing capabilities of these biosensors, making them promising tools for diverse applications in the field of biosensing.
基于 PCF 的生物医学应用传感器--综述
本文综述了基于光子晶体光纤(PCF)的生物传感器的研究现状和未来进展,并从节距、气孔直径和金层厚度等方面探讨了结构参数变化对相位匹配条件的影响。目前,这些表面等离子体共振(SPR)生物传感器展示了检测一系列生物物质的能力,如葡萄糖、pH值、血清蛋白和类似的化学物质。它们有能力直接识别尿液、血液和唾液中的生物成分,以及食物、水和空气中的病原体、细菌和污染物。该研究通过介绍PCF生物传感器的基本原理进行了调查,强调了它们与传统生物传感器的比较优势。综述了近年来利用PCF生物传感器进行各种应用的研究,认为SPR的集成增强了PCF生物传感器的传感能力,使其在生物传感领域具有广泛的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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