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Development of nanogap-rich hybrid gold nanostructures by use of two non-lithographic deposition techniques for a sensitive and reliable SERS biosensor.
Kwon, Hyuck Ju; Cho, Yong Jun; Yuk, Kyeong Min; Lee, Jonghwan; Choi, Seung Ho; Byun, Kyung Min.
Afiliación
  • Kwon HJ; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104 Republic of Korea.
  • Cho YJ; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104 Republic of Korea.
  • Yuk KM; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104 Republic of Korea.
  • Lee J; School of Engineering, Brown University, Providence, RI 02912 USA.
  • Choi SH; Department of Biomedical Engineering, Yonsei University, 1 Yonseidae-Gil, Wonju, Gangwon-Do 26493 Republic of Korea.
  • Byun KM; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, 17104 Republic of Korea.
Biomed Eng Lett ; 14(4): 859-866, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38946823
ABSTRACT
Practical application of surface-enhanced Raman spectroscopy (SERS) has suffered from several limitations by heterogeneous distribution of hot-spots, such as high signal fluctuation and the resulting low reliability in detection. Herein, we develop a strategy of more sensitive and reliable SERS platform through designing spatially homogeneous gold nanoparticles (GNPs) on a uniform gold nanoisland (GNI) pattern. The proposed SERS substrate is successfully fabricated by combining two non-lithographic techniques of electron beam evaporation and convective self-assembly. These bottom-up methods allow a simple, cost-effective, and large-area fabrication. Compared to the SERS substrates obtained from two separate nanofabrication methods, Raman spectra measured by the samples with both GNPs and GNIs present a significant increase in the signal intensity as well as a notable improvement in signal fluctuation. The simulated near-field analyses demonstrate the formation of highly amplified plasmon modes within and at the gaps of the GNP-GNI interfaces. Moreover, the suggested SERS sensor is evaluated to detect the glucose concentration, exhibiting that the detection sensitivity is improved by more than 10 times compared to the sample with only GNI patterns and a fairly good spatial reproducibility of 7% is accomplished. It is believed that our suggestion could provide a potential for highly sensitive, low-cost, and reliable SERS biosensing platforms that include many advantages for healthcare devices. Supplementary Information The online version contains supplementary material available at 10.1007/s13534-024-00381-4.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomed Eng Lett Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomed Eng Lett Año: 2024 Tipo del documento: Article
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