Protein secondary structure detection based on surface plasmon resonance of graphene nanowires

被引:7
作者
Tong, Kai [1 ]
Wang, Yunxuan [1 ]
Wang, Fucheng [1 ]
Sun, Jiaru [1 ]
Wu, Xiaogang [1 ]
机构
[1] Yanshan Univ, Qinhuangdao 066004, Hebei, Peoples R China
来源
OPTIK | 2020年 / 216卷
基金
中国国家自然科学基金;
关键词
Protein secondary structure; Surface plasmon resonance; Graphene;
D O I
10.1016/j.ijleo.2020.164703
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Surface plasmon resonance (SPR) can generate a high intensity electrical field on the metal surface, which is widely used in the field of biosensor technology. The combination of SPR and mid-infrared spectroscopy has unique advantages in protein structure detection and analysis. Protein plays an important role in the identification and analysis of diseases. The change of protein conformation information is also the cause of some major diseases. In this paper, a grating SPR sensor based on graphene is proposed. SPR is excited by mid -infrared light, and a lot of energy is localized at both ends of graphene nanowires. Finite-Difference Time-Domain (FDTD) method is used to simulate the performance of the sensor. The parameters of the sensor are adjusted to satisfy the detection of protein secondary structure in amide I. The conformational information of protein in dry and water environments are calculated respectively. Graphene is used as sensing materials instead of metal. On the one hand, it is to avoid chemical reaction and prolong the life of the sensor. On the other hand, for protein biomolecules, graphene has stronger adsorption and field localization characteristics than metal. This sensor provides a new idea for protein detection.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Highly Sensitive Terahertz Gas Sensor Based on Surface Plasmon Resonance With Graphene
    Xiang, Yuanjiang
    Zhu, Jiaqi
    Wu, Leiming
    You, Qi
    Ruan, Banxian
    Dai, Xiaoyu
    IEEE PHOTONICS JOURNAL, 2018, 10 (01):
  • [22] Optical Detection of Fat Concentration in Milk Using MXene-Based Surface Plasmon Resonance Structure
    Almawgani, Abdulkarem H. M.
    Daher, Malek G.
    Taya, Sofyan A.
    Mashagbeh, Mohammad
    Colak, Ilhami
    BIOSENSORS-BASEL, 2022, 12 (07):
  • [23] Surface Plasmon Resonance Fiber Optical Sensor Based on Photonic Crystal and Graphene
    Feng, Xinjie
    Xia, Kai
    Yang, Mei
    Luo, Yunhan
    Tang, Jieyuan
    Guan, Heyuan
    Fang, Junbin
    Lu, Huihui
    Yu, Jianhui
    Zhang, Jun
    Chen, Zhe
    2016 INTERNATIONAL CONFERENCE ON NUMERICAL SIMULATION OF OPTOELECTRONIC DEVICES (NUSOD), 2016, : 81 - 82
  • [24] Graphene based surface plasmon resonance gas sensor for terahertz
    Srivastava, Triranjita
    Purkayastha, Amrita
    Jha, Rajan
    OPTICAL AND QUANTUM ELECTRONICS, 2016, 48 (06)
  • [25] Graphene Sensor Based on Surface Plasmon Resonance for Optical Scanning
    Farmani, Ali
    Mir, Ali
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2019, 31 (08) : 643 - 646
  • [26] Graphene based surface plasmon resonance gas sensor for terahertz
    Triranjita Srivastava
    Amrita Purkayastha
    Rajan Jha
    Optical and Quantum Electronics, 2016, 48
  • [27] Graphene/Graphene Oxide-Based Ultrasensitive Surface Plasmon Resonance Biosensor
    Bahar Meshginqalam
    Mohammad Taghi Ahmadi
    Razali Ismail
    Arash Sabatyan
    Plasmonics, 2017, 12 : 1991 - 1997
  • [28] Graphene/Graphene Oxide-Based Ultrasensitive Surface Plasmon Resonance Biosensor
    Meshginqalam, Bahar
    Ahmadi, Mohammad Taghi
    Ismail, Razali
    Sabatyan, Arash
    PLASMONICS, 2017, 12 (06) : 1991 - 1997
  • [29] Optimization of Graphene-Based Square Slotted Surface Plasmon Resonance Refractive Index Biosensor for Accurate Detection of Pregnancy
    Almawgani, Abdulkarem H. M.
    Wekalao, Jacob
    Patel, Shobhit K.
    Alzahrani, Ahmad
    Gumaih, Hussein S.
    Armghan, Ammar
    PLASMONICS, 2025, 20 (01) : 443 - 457
  • [30] Graphene-Based Machine Learning-Optimized Surface Plasmon Resonance Biosensor Design for Skin Cancer Detection
    Nithya, S.
    Muthuswamy, Jayanthi
    Alsalman, Osamah
    Patel, Shobhit K.
    PLASMONICS, 2025,