Numerical investigation of PCF-based biosensor for pathologies detection in blood

IF 4.7 Q1 CHEMISTRY, ANALYTICAL
Sensing and Bio-Sensing Research Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI:10.1016/j.sbsr.2026.100961
Emranul Haque , Abdullah Al Noman , S.M. Rakibul Islam , Md Rubayet Islam , Ruhai Wang , Ding Wang , Feroz Ahmed
{"title":"Numerical investigation of PCF-based biosensor for pathologies detection in blood","authors":"Emranul Haque ,&nbsp;Abdullah Al Noman ,&nbsp;S.M. Rakibul Islam ,&nbsp;Md Rubayet Islam ,&nbsp;Ruhai Wang ,&nbsp;Ding Wang ,&nbsp;Feroz Ahmed","doi":"10.1016/j.sbsr.2026.100961","DOIUrl":null,"url":null,"abstract":"<div><div>A photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor has been proposed for detecting the concentration of albumin (ALB), urea, glucose, and hemoglobin (Hb) in blood samples. The sensor features a square lattice PCF design with an optimized plasmonic gold coating, ensuring strong light-matter interaction for enhanced sensitivity. The finite element method (FEM) is employed to numerically evaluate the sensor's performance, analyzing wavelength sensitivity (WS), signal-to-noise ratio (SNR), detection limit (DL), and confinement loss. The proposed sensor achieves a maximum WS of 20,000 nm/RIU for detecting ALB (600–1000 mg/dL) and urea (2.5 g/dL), while glucose and Hb detection reach 10,000 nm/RIU and 5000 nm/RIU, respectively. Additionally, the sensor exhibits an exceptionally low DL and strong linear response, demonstrating its feasibility for high precision biosensing. With its high sensitivity, compact structure, and simplified fabrication, this PCF-SPR biosensor presents a robust, label-free, and real-time diagnostic tool for biomedical and clinical applications. This work establishes a foundation for future experimental validation and integration into point-of-care healthcare systems.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"52 ","pages":"Article 100961"},"PeriodicalIF":4.7000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180426000115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

A photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor has been proposed for detecting the concentration of albumin (ALB), urea, glucose, and hemoglobin (Hb) in blood samples. The sensor features a square lattice PCF design with an optimized plasmonic gold coating, ensuring strong light-matter interaction for enhanced sensitivity. The finite element method (FEM) is employed to numerically evaluate the sensor's performance, analyzing wavelength sensitivity (WS), signal-to-noise ratio (SNR), detection limit (DL), and confinement loss. The proposed sensor achieves a maximum WS of 20,000 nm/RIU for detecting ALB (600–1000 mg/dL) and urea (2.5 g/dL), while glucose and Hb detection reach 10,000 nm/RIU and 5000 nm/RIU, respectively. Additionally, the sensor exhibits an exceptionally low DL and strong linear response, demonstrating its feasibility for high precision biosensing. With its high sensitivity, compact structure, and simplified fabrication, this PCF-SPR biosensor presents a robust, label-free, and real-time diagnostic tool for biomedical and clinical applications. This work establishes a foundation for future experimental validation and integration into point-of-care healthcare systems.
基于pcf的生物传感器在血液病理检测中的数值研究
提出了一种基于光子晶体光纤(PCF)的表面等离子体共振(SPR)生物传感器,用于检测血液样品中白蛋白(ALB)、尿素、葡萄糖和血红蛋白(Hb)的浓度。该传感器采用方形晶格PCF设计,具有优化的等离子体金涂层,确保强光-物质相互作用以提高灵敏度。采用有限元法对传感器的性能进行了数值评价,分析了波长灵敏度(WS)、信噪比(SNR)、检测限(DL)和约束损耗。该传感器检测ALB (600-1000 mg/dL)和尿素(2.5 g/dL)的最大WS为20,000 nm/RIU,而葡萄糖和Hb的检测分别达到10,000 nm/RIU和5000 nm/RIU。此外,该传感器表现出极低的DL和强线性响应,证明了其高精度生物传感的可行性。该PCF-SPR生物传感器具有高灵敏度,紧凑的结构和简化的制造,为生物医学和临床应用提供了一种强大的,无标签的实时诊断工具。这项工作为未来的实验验证和整合到护理点医疗保健系统奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书