{"title":"Highly sensitive V-groove refractive index sensor based on Box–Behnken design optimization and DNN prediction","authors":"Jing Ma, Hao Wang, Zhengrong Tong, Pengxiang Li","doi":"10.1016/j.optcom.2025.132454","DOIUrl":null,"url":null,"abstract":"<div><div>A highly sensitive refractive index (RI) sensor based on surface plasmon resonance photonic crystal fiber (SPR-PCF) with a V-groove open channel and hexagonal air holes is proposed in this study. The sensor’s performance is numerically investigated via the Finite Element Method (FEM) implemented in COMSOL Multiphysics. The three structural parameters of polishing depth, gold film thickness, and hole spacing are optimized using the Box–Behnken Design (BBD) response surface method, achieving a maximum wavelength sensitivity of 26,000 nm/RIU and a resolution of <span><math><mrow><mn>3</mn><mo>.</mo><mn>85</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>6</mn></mrow></msup></mrow></math></span> RIU. The sensor exhibits a broad detection range covering RI from 1.28 to 1.43. Furthermore, a deep neural network (DNN) model is employed to predict the refractive index by fitting the relationship between the resonance wavelength, loss value, and RI. The model achieves an <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.998, outperforming the potential of neural networks in modeling complex nonlinear interactions. The proposed sensor structure provides a novel solution for practical applications.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"596 ","pages":"Article 132454"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0030401825009824","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
A highly sensitive refractive index (RI) sensor based on surface plasmon resonance photonic crystal fiber (SPR-PCF) with a V-groove open channel and hexagonal air holes is proposed in this study. The sensor’s performance is numerically investigated via the Finite Element Method (FEM) implemented in COMSOL Multiphysics. The three structural parameters of polishing depth, gold film thickness, and hole spacing are optimized using the Box–Behnken Design (BBD) response surface method, achieving a maximum wavelength sensitivity of 26,000 nm/RIU and a resolution of RIU. The sensor exhibits a broad detection range covering RI from 1.28 to 1.43. Furthermore, a deep neural network (DNN) model is employed to predict the refractive index by fitting the relationship between the resonance wavelength, loss value, and RI. The model achieves an of 0.998, outperforming the potential of neural networks in modeling complex nonlinear interactions. The proposed sensor structure provides a novel solution for practical applications.
期刊介绍:
Optics Communications invites original and timely contributions containing new results in various fields of optics and photonics. The journal considers theoretical and experimental research in areas ranging from the fundamental properties of light to technological applications. Topics covered include classical and quantum optics, optical physics and light-matter interactions, lasers, imaging, guided-wave optics and optical information processing. Manuscripts should offer clear evidence of novelty and significance. Papers concentrating on mathematical and computational issues, with limited connection to optics, are not suitable for publication in the Journal. Similarly, small technical advances, or papers concerned only with engineering applications or issues of materials science fall outside the journal scope.