Abstract

This work is related to the investigation of the effects of porous silicon (PSi) morphologies on the performance of plasmonic gold nanoparticles (Au-NPs) hot spot SERS sensors for the detection of amoxicillin molecules. Two Si wafers with different resistivity values of 10 and 100 Ω.cm were used to synthesize a PSi layer of pores- and mud-like structures, respectively, by pulsed photo chemical etching process. The hot spot SERS sensors were synthesized by incorporating the Au-NPs within the PSi morphologies of pores- and mud- like structures which are characterized by high density of nucleation sites. Plasmonic Au- NPs with different sizes and hot spot regions were incorporated into the porous structures by the ion reduction process. It was recognized that the PSi morphologies have a considerable influence on the fabrication process of the detection sensors and, consequently, on the detection process. The plasmonic Au-NPs hot spot SERS sensor based on the PSi morphology of the mud-like structures shows higher sensitivity than that of pores-like structures, even at very low concentrations of amoxicillin solutions.

Highlights

  • The surface-enhanced Raman scattering (SERS) process was used to enhance the scattering effect and overcome the low sensitivity of the common Raman method

  • Plasmonic Au-NPs hot spot layer was examined as an efficient SERS sensor for the detection of amoxicillin based morphological aspects of both types of porous silicon (PSi)

  • Where ISERS is the SERS intensity of plasmonic hot spot SERS sensors and IR is the Raman intensity of the bare PSi at the amoxicillin concentrations of CSERS and CR, respectively

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Summary

Introduction

The surface-enhanced Raman scattering (SERS) process was used to enhance the scattering effect and overcome the low sensitivity of the common Raman method. The PSi layer of pores- and mud- like structures were synthesized via the pulsed photochemical etching process by using two different silicon wafer resistivity values of 10 and 100 Ω.cm, respectively.

Results
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