MXene-Graphene-MXene-Mediated Heterostructure-Based Surface Plasmon Resonance Sensor for the Detection of Leptospirosis Bacteria in Rodent Urine

被引:8
作者
Kumar, Rajeev [1 ]
Pal, Sarika [2 ]
Pal, Narendra [3 ]
Verma, Alka [4 ]
Prajapati, Yogendra Kumar [5 ]
机构
[1] Graphic Era, Dept Elect & Commun Engn, Dehra Dun 248002, Uttaranchal, India
[2] Natl Inst Technol Uttarakhand, Dept Elect Engn, Srinagar 246174, Uttarakhand, India
[3] Inst Engn & Technol, Dept Elect & Commun Engn, Lucknow 226021, Uttar Pradesh, India
[4] Coll Engn & Rural Technol, Dept Elect & Commun Engn, Prayagraj 211002, Uttar Pradesh, India
[5] Motilal Nehru Natl Inst Technol Allahabad, Dept Elect & Commun Engn, Prayagraj 211004, Uttar Pradesh, India
关键词
Surface plasmon resonance; Leptospirosis bacteria; Heterostructure; Sensitivity; Field distribution analysis; SPR SENSOR; ENHANCEMENT; LAYER;
D O I
10.1007/s11468-024-02246-z
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In this article, we have designed a graphene mediated heterostructure (MXene-graphene-MXene) based surface plasmon resonance (SPR) sensor for the sensing of leptospirosis bacteria in rodent urine. The polyuria and oliguria signify the low and high concentration of leptospirosis bacteria in rodent urine. Kretschmann configuration is used for sensor design, and transfer matrix method (TMM) is used to model the sensor for reflectivity calculation. Angular interrogation is used to plot SPR curves at characteristic wavelength of 633 nm. First, constituent layers of the proposed sensor are optimized to obtain high sensitivity, detection accuracy (DA), figure of merit (FoM), electric field intensity enhancement factor (EFIEF), and penetration depth (PD). The maximum sensitivity of 214.51 degrees/RIU and 211.71 degrees/RIU is achieved for the detection of polyuria and oliguria, respectively. COMSOL Multiphysics simulation software is used to evaluate field distribution at various layer interface using 1D, 2D plots, and SPPs mode.
引用
收藏
页码:3323 / 3333
页数:11
相关论文
共 50 条
  • [31] Kretschmann-based Surface Plasmon Resonance sensor using Au/Graphene for Glucose Detection
    Jamil, Nur Akmar
    Gafor, Abdul Halim Abdul
    Abdullah, Noraidatulakma
    Yee, Lee Pey
    Kassim, Syara
    Shyong, Siow Kim
    Hamzah, Azrul Azlan
    Mohamed, Mohd Ambri
    Feidhul, Muhammad
    Yasin, Hakim Fatah
    Menon, P. Susthitha
    2024 IEEE INTERNATIONAL CONFERENCE ON SEMICONDUCTOR ELECTRONICS, ICSE, 2024, : 48 - 51
  • [32] Detection of fat concentration milk using TMDC-based surface plasmon resonance sensor
    Karki, Bhishma
    Trabelsi, Youssef
    Uniyal, Arun
    Pal, Amrindra
    Yadav, Ram Bharos
    MODERN PHYSICS LETTERS B, 2024, 38 (29):
  • [33] Enhanced surface plasmon resonance fiber sensor based on Graphene Oxide
    Zhao, Jing
    Wang, YiPing
    Liao, ChangRui
    Wang, Yi
    He, Jun
    2018 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2018,
  • [34] Sensitivity Enhancement in Surface Plasmon Resonance Biochemical Sensor Based on Transition Metal Dichalcogenides/Graphene Heterostructure
    Zhao, Xiang
    Huang, Tianye
    Ping, Perry Shum
    Wu, Xu
    Huang, Pan
    Pan, Jianxing
    Wu, Yiheng
    Cheng, Zhuo
    SENSORS, 2018, 18 (07)
  • [35] Enhanced angular sensitivity of surface plasmon resonance sensor based on Si-Ag-MXene structure for cortisol application
    Kumar, Rajeev
    Pandey, Vimal Kant
    Singh, Shivam
    Dhasarathan, Vigneswaran
    EUROPEAN PHYSICAL JOURNAL PLUS, 2025, 140 (02):
  • [36] Low index dielectric mediated surface plasmon resonance sensor based on graphene for near infrared measurements
    Maharana, Pradeep Kumar
    Srivastava, Triranjita
    Jha, Rajan
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2014, 47 (38)
  • [37] Modeling a Graphene-Enhanced Surface Plasmon Resonance Sensor for Cancer Detection
    Abdalla, Sahar
    Ferjani, Hela
    Alsaad, Ahmad M.
    Tavares, Carlos J.
    Telfah, Ahmad D.
    PLASMONICS, 2024, : 1721 - 1728
  • [38] The effect of Ti2C MXene on the performance of optical fiber-based surface plasmon resonance sensor towards lead detection
    Ahmad, Harith
    Makhfuz, Maryam Jasmine Mohd
    Yusoff, Norazriena
    Zakaria, Rozalina
    MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS, 2024, 302
  • [39] Modeling of highly sensitive surface plasmon resonance (SPR) sensor for urine glucose detection
    N. Mudgal
    Ankur Saharia
    Ankit Agarwal
    Jalil Ali
    Preecha Yupapin
    G. Singh
    Optical and Quantum Electronics, 2020, 52
  • [40] Detection of Escherichia coli Using Highly Sensitive Surface Plasmon Resonance Nanostructure (SPRN) Based on MXene 2D Nanomaterial
    Daher, Malek G.
    Trabelsi, Youssef
    Ahmed, Naser M.
    Prajapati, Yogenra Kumar
    Rashed, Ahmed Nabih Zaki
    Patel, Shobhit K.
    PLASMONICS, 2023, 18 (06) : 2483 - 2492