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Low power density, high-efficiency reflective Raman system for polymer SERS substrates.
Lin, Ding-Zheng; Chang, Heng-I; Tsia, Kai-Chun; Chung, Yu-Ya.
Afiliación
  • Lin DZ; Department of Mechanical Engineering, National Taiwan University of Science and Technology Taiwan Republic of China djsam@mail.ntust.edu.tw.
  • Chang HI; Department of Mechanical Engineering, National Taiwan University of Science and Technology Taiwan Republic of China djsam@mail.ntust.edu.tw.
  • Tsia KC; Department of Mechanical Engineering, National Taiwan University of Science and Technology Taiwan Republic of China djsam@mail.ntust.edu.tw.
  • Chung YY; Department of Mechanical Engineering, National Taiwan University of Science and Technology Taiwan Republic of China djsam@mail.ntust.edu.tw.
RSC Adv ; 14(29): 20879-20883, 2024 Jun 27.
Article en En | MEDLINE | ID: mdl-38957582
ABSTRACT
Surface-enhanced Raman spectroscopy (SERS) is a powerful measurement method in the chemical analysis field. It is much superior to bulk Raman owing to the enhancement of signal sensitivity from the SERS substrate. Nevertheless, the delicate SERS substrates are overpriced, which results in the difficulty of universal measurements. Accordingly, opting for a substrate made of polymer material based on the nanoimprint technique shows great potential for low-cost and high-performance SERS substrates. However, due to its low heat conductivity, the polymer's thermal properties may cause heat to concentrate on the incident spot and damage the nanostructures or analytes. In this article, we proposed a novel design of the Reflective Raman (RR) system to reduce the input power density and maintain high collection efficiency at the same time. The proposed RR system was directly compared with a traditional micro Raman (µ-Raman) system and demonstrated its outstanding performance for low damage threshold analytes and SERS substrates.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: RSC Adv Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: RSC Adv Año: 2024 Tipo del documento: Article