Enhancement of the signal-to-noise ratio in fiber-optics based SERS detection by rough-cutting the end surface

被引:2
|
作者
Shin, Minkyung [1 ]
Kim, Kyunghun [1 ]
Jeong, Dae Hong [1 ]
机构
[1] Seoul Natl Univ, Dept Chem Educ, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
HIGHLY SENSITIVE DETECTION; RAMAN-SCATTERING; NANOPARTICLES; PATHOGENS;
D O I
10.1364/OE.485021
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Fiber-optics based surface-enhanced Raman scattering (FO-SERS) has an unique advantage of being able to remotely detect analyte molecules because the fiber length can be adjusted as desired. However, the Raman signal of the fiber-optic material is so strong that it is an important challenge in utilization of optical fiber for remote SERS sensing. In this study, we found that the background noise signal was greatly reduced by ca. 32% compared to conventional fiber-optics with a flat surface cut. To confirm the feasibility of FO-SERS detection, silver nanoparticles labeled with 4-fluorobenzenethiol were attached onto the end surface of an optical fiber to form a SERS-signaling substrate. The SERS intensity from the fiber-optics with a roughened surface as SERS substrate was increased significantly with respect to signal-to-noise ratio (SNR) values compared to optical fibers with flat end surface. This result implies that the fiber-optics with roughened surface could be used as an efficient alternative for FO-SERS sensing platform.
引用
收藏
页码:12645 / 12652
页数:8
相关论文
共 50 条
  • [1] Noise Analysis and Signal-to-Noise Ratio Enhancement of Fiber-Based Photoacoustic Microscopy
    Huang Jie
    Liang Yizhi
    Zhong Xiaoxuan
    Jin Long
    Guan Baiou
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2022, 49 (15):
  • [2] Enhancement of MRI-based Signal-to-Noise Ratio with Noise Scrambling
    Wu, Lin
    Yu, Jie
    Zhang, Tao
    2022 9TH INTERNATIONAL CONFERENCE ON BIOMEDICAL AND BIOINFORMATICS ENGINEERING, ICBBE 2022, 2022, : 29 - 34
  • [3] Radon transform-based microseismic event detection and signal-to-noise ratio enhancement
    Sabbione, Juan I.
    Sacchi, Mauricio D.
    Velis, Danilo R.
    JOURNAL OF APPLIED GEOPHYSICS, 2015, 113 : 51 - 63
  • [4] Enhancement of signal-to-noise ratio during the detection of weak video pulses
    Makarenko A.S.
    Radioelectronics and Communications Systems, 2010, 53 (10) : 566 - 568
  • [5] Signal-to-noise ratio enhancement based on the whitening transformation of colored structural noise
    Izquierdo, MAG
    Hernandez, MG
    Graullera, O
    Anaya, JJ
    ULTRASONICS, 2000, 38 (1-8) : 500 - 502
  • [6] Acoustic signal-to-noise ratio for an inclusion beneath a randomly rough surface and in the presence of microstructure
    Bilgen, M
    Rose, JH
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1997, 101 (01): : 272 - 280
  • [7] Signal-to-noise ratio enhancement based on wavelet filtering in ultrasonic testing
    Matz, Vaclav
    Smid, Radislav
    Starman, Stanislav
    Kreidl, Marcel
    ULTRASONICS, 2009, 49 (08) : 752 - 759
  • [8] Effect of Spectral Signal-to-Noise Ratio on Resolution Enhancement at Surface Plasmon Resonance
    Ma, Long
    Xia, Guo
    Jin, Shiqun
    Bai, Lihao
    Wang, Jiangtao
    Chen, Qiaoqin
    Cai, Xiaobo
    SENSORS, 2021, 21 (02) : 1 - 12
  • [9] Multiparameter signal-to-noise ratio optimization for end milling cutting conditions of aluminium alloy 5083
    Kechagias, John
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 132 (9-10): : 4979 - 4988
  • [10] Preliminary Study on Signal-to-Noise Ratio Based Fault Detection and Identification
    Rojas, Alejandro J.
    2021 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (IEEE CHILECON 2021), 2021, : 100 - 106