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Surface-Enhanced Raman Scattering in Silver-Coated Suspended-Core Fiber.
Xu, Yangyang; Zhang, Xian; Zhu, Xiao-Song; Shi, Yi-Wei.
Afiliação
  • Xu Y; School of Information Science and Engineering, Fudan University, 220 Handan Rd, Shanghai 200433, China.
  • Zhang X; Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City 322000, China.
  • Zhu XS; School of Information Science and Engineering, Fudan University, 220 Handan Rd, Shanghai 200433, China.
  • Shi YW; Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City 322000, China.
Sensors (Basel) ; 24(1)2023 Dec 27.
Article em En | MEDLINE | ID: mdl-38203021
ABSTRACT
In this paper, the silver-coated large-core suspended-core fiber (LSCF) probe was fabricated by the dynamic chemical liquid phase deposition method for surface-enhanced Raman scattering (SERS) sensing. The 4-mercaptophenylboronic acid (4-MPBA) monolayer was assembled in the LSCF as the recognition monolayer. Taking advantage of the appropriate core size of the LSCF, a custom-made Y-type optical fiber patch cable was utilized to connect the semiconductor laser, Raman spectrometer, and the proposed fiber SERS probe. The SERS signal is propagated in the silver-coated air channels, which can effectively reduce the Raman and fluorescence background of the silica core. Experiments were performed to measure the Raman scattering spectra of the 4-MPBA in the silver-coated LSCF in a non-enhanced and enhanced case. The experiment results showed that the Raman signal strength was enhanced more than 6 times by the surface plasmon resonance compared with the non-enhanced case. The proposed LSCF for SERS sensing technology provides huge research value for the fiber SERS probes in biomedicine and environmental science. The combination of SERS and microstructured optical fibers offers a potential approach for SERS detection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article