Modifying and Fine Controlling of Silver Nanoparticle Nucleation Sites and SERS Performance by Double Silicon Etching Process

Jabbar, Allaa A.; Alwan, Alwan M.; Haider, Adawiya J.

doi:10.1007/s11468-017-0618-x

Cited by 28 publications

(8 citation statements)

References 27 publications

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“…The boost is achieved because nanoparticles are highly exposed and energy transfers within the hot spot regions are effective. The specific surface area is given as [25], Specific surface area = 6000/Dxρ =31.08 m 2 /gm where D is the size of the AuNPs and ρ is the density of gold (19.3 g/cm 3 ). Here, we used 6000 as form factor values for isothermal particles.…”

Section: Resultsmentioning

confidence: 99%

Enhancement of the Au/ZnO-NA Plasmonic SERS Signal Using Principal Component Analysis as a Machine Learning Approach

2020

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In this work, we modeled a novel approach to enhance surface-enhanced Raman scattering (SERS) signals using principal component analysis (PCA) as a machine learning approach. Zinc oxide nanoarrays (ZnO-NAs) were synthesized using a hydrothermal method followed by zinc oxide nucleation on ITO glass substrates via an oxidation furnace at 500°C. The surface morphology was improved by short rapid thermal annealing (S-RTA) after deposition of a gold layer via a thermal evaporator to avoid chemical contamination of the sensing surface, which is a suitable plasmonic platform for the generation of "hot spots" for SERS enhancement with fewer defects. The proposed Au/ZnO-NA SERS sensor exhibited an enhancement factor (EF) of 1.15x10 7 via the R6G Raman probe and excellent uniformity over the entire surface. The PCA algorithm was used to extract useful features and information from the SERS signal. The algorithm was implemented with MATLAB software (R2019a) by the multivariable analytical tool to find an enhanced signal (~3 times higher) with high uniformity, which has great potential and is applicable to a wide range of probe molecules suitable in medical, safety, and environmental applications.

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Section: Resultsmentioning

confidence: 99%

Enhancement of the Au/ZnO-NA Plasmonic SERS Signal Using Principal Component Analysis as a Machine Learning Approach

2020

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“…The decrease of this efficiency would lead to decrease the obtained Raman signal due to the decrease in the absorbed photon by the target molecules. The density and size of the hot spot gaps among the plasmonic Au-NPs play a considerable role in the performance of the SERS sensors [22,23]. Assume that two nanoparticles of size (D) are separated by gap (hot spot gap) of size (d).…”

Section: Mahmood and Alwanmentioning

confidence: 99%

“…Assume that two nanoparticles of size (D) are separated by gap (hot spot gap) of size (d). If these nanoparticles are presented in an uniform electrostatic field (E 0 ) of Raman signal , the contingent local electric field (E L ) will vary with the nanoparticle size and the hot spot gap size, as given by the following equation [23] .…”

Section: Mahmood and Alwanmentioning

confidence: 99%

The Effects of Psi Morphology on the Detection Efficiency of the Au-Nps Hot Spot SERS Sensors

Mahmood¹,

Alwan

2021

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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.

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“…The latter strongly depends on the shape and size of the metallic nanostructures and the gaps between them, while porous silicon template helps to manage these properties. The family of the SERS-active nanostructures formed by metal deposition on porous silicon is very rich and includes metallic nanoparticles [ 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 ] or polydisperse particles [ 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 ], dendrites [ 49 , 54 , 83 , 84 ], nanovoids [ 85 ], and metallic oval-shaped NPs [ 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. Figure 2 presents schematic views of plasmonic structures that can be formed with a dependence on porous silicon morphology, doping type, the level of silicon, and the method and conditions of metal deposition.…”

Section: Why Porous Silicon Is a Good Template For Sers-active Submentioning

confidence: 99%

Progress in the Development of SERS-Active Substrates Based on Metal-Coated Porous Silicon

et al. 2018

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The present work gives an overview of the developments in surface-enhanced Raman scattering (SERS) with metal-coated porous silicon used as an active substrate. We focused this review on the research referenced to SERS-active materials based on porous silicon, beginning from the patent application in 2002 and enclosing the studies of this year. Porous silicon and metal deposition technologies are discussed. Since the earliest studies, a number of fundamentally different plasmonic nanostructures including metallic dendrites, quasi-ordered arrays of metallic nanoparticles (NPs), and metallic nanovoids have been grown on porous silicon, defined by the morphology of this host material. SERS-active substrates based on porous silicon have been found to combine a high and well-reproducible signal level, storage stability, cost-effective technology and handy use. They make it possible to identify and study many compounds including biomolecules with a detection limit varying from milli- to femtomolar concentrations. The progress reviewed here demonstrates the great prospects for the extensive use of the metal-coated porous silicon for bioanalysis by SERS-spectroscopy.

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Modifying and Fine Controlling of Silver Nanoparticle Nucleation Sites and SERS Performance by Double Silicon Etching Process

Cited by 28 publications

References 27 publications

Enhancement of the Au/ZnO-NA Plasmonic SERS Signal Using Principal Component Analysis as a Machine Learning Approach

Enhancement of the Au/ZnO-NA Plasmonic SERS Signal Using Principal Component Analysis as a Machine Learning Approach

The Effects of Psi Morphology on the Detection Efficiency of the Au-Nps Hot Spot SERS Sensors

Progress in the Development of SERS-Active Substrates Based on Metal-Coated Porous Silicon

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