Issue 4, 2023

Femtosecond laser patterned silicon embedded with gold nanostars as a hybrid SERS substrate for pesticide detection

Abstract

We have developed simple and cost-effective surface-enhanced Raman scattering (SERS) substrates for the trace detection of pesticide (thiram and thiabendazole) and dye (methylene blue and Nile blue) molecules. Surface patterns (micro/nanostructures) on silicon (Si) substrates were fabricated using the technique of femtosecond (fs) laser ablation in ambient air. Different surface patterns were achieved by tuning the number of laser pulses per unit area (4200, 8400, 42 000, and 84 000 pulses per mm2) on Si. Subsequently, chemically synthesized gold (Au) nanostars were embedded in these laser-patterned areas of Si to achieve a plasmonic active hybrid SERS substrate. Further, the SERS performance of the as-prepared Au nanostar embedded Si substrates were tested with different probe molecules. The as-prepared substrates allowed us to detect a minimum concentration of 0.1 ppm in the case of thiram, 1 ppm in the case of thiabendazole (TBZ), 1.6 ppb in the case of methylene blue (MB), and 1.8 ppb in case of Nile blue (NB). All these were achieved using a simple, field-deployable, portable Raman spectrometer. Additionally, the optimized SERS substrate demonstrated ∼21 times higher SERS enhancement than the Au nanostar embedded plain Si substrate. Furthermore, the optimized SERS platform was utilized to detect a mixture of dyes (MB + NB) and pesticides (thiram + TBZ). The possible reasons for the observed additional enhancement are elucidated.

Graphical abstract: Femtosecond laser patterned silicon embedded with gold nanostars as a hybrid SERS substrate for pesticide detection

Supplementary files

Article information

Article type
Paper
Submitted
09 Dec 2022
Accepted
10 Jan 2023
First published
17 Jan 2023
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2023,13, 2620-2630

Femtosecond laser patterned silicon embedded with gold nanostars as a hybrid SERS substrate for pesticide detection

S. S. B. Moram, C. Byram and V. R. Soma, RSC Adv., 2023, 13, 2620 DOI: 10.1039/D2RA07859G

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