Porous silicon - A versatile platform for mass-production of ultrasensitive SERS-active substrates

Khinevich, Nadzeya; Bandarenka, Hanna; Zavatski, Siarhei; Girel, Kseniya; Tamulevičienė, Asta; Tamulevičius, Tomas; Tamulevičius, Sigitas

doi:10.1016/j.micromeso.2021.111204

Cited by 35 publications

(9 citation statements)

References 140 publications

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“…Recently, a review by Khinevich et al demonstrated a few outstanding features of metal composed pSi and its effectiveness in reproducibility, versatility, and stability of ultrasensitive SERS sensing. 288 This review gives detailed reports on various potential methods for noble metal NPs decoration on the pSi surface. Moreover, pSi has also been recognized as a biocomponent in the design of new generation biosensors, 289 with detailed arguments being given by Terracciano and co-workers.…”

Section: Plasmonic Nps Capped Nanocrystalline Porous Siliconmentioning

confidence: 99%

“…In support of the stated arguments, an article by Alwan studied the morphology of AgNPs on pSi prepared by various approaches as well as studying the morphological evolutions of pSi under differential illumination. Recently, a review by Khinevich et al demonstrated a few outstanding features of metal composed pSi and its effectiveness in reproducibility, versatility, and stability of ultrasensitive SERS sensing . This review gives detailed reports on various potential methods for noble metal NPs decoration on the pSi surface.…”

Section: Plasmonic Nps Capped Nanocrystalline Porous Siliconmentioning

confidence: 99%

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Silicon Nanostructures for Molecular Sensing: A Review

Vendamani

Rao

Pathak

2022

ACS Appl. Nano Mater.

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This review presents a comprehensive synopsis of the recent developments and achievements in the research of nanosensors composed of plasmonic nanoparticles (NPs) and silicon nanostructures (NSs) for effective trace-level molecular detection. This review focuses intensively on the methodologies for the preparation and enforcement of a variety of SiNSs including (a) metal nanoparticles decorated silicon nanowires (NWs), (b) metal nanodendrites (NDs) on Si substrate, (c) plasmonic NPs decorated nanocrystalline porous silicon (pSi), and (d) silicon composed hybrid nanostructures with favorable parameters of importance in sensing. Furthermore, their potency in wide molecular sensing applications, especially chemical, biological, and explosive molecules based on surface enhanced Raman scattering (SERS) phenomenon is discussed in detail. Various demonstrations and categorizations are provided on the topic of Si-based NSs for a clear understanding to diverse readers. A roadmap is also provided at the end for achieving superior sensing materials or devices in the future.

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Section: Plasmonic Nps Capped Nanocrystalline Porous Siliconmentioning

confidence: 99%

Section: Plasmonic Nps Capped Nanocrystalline Porous Siliconmentioning

confidence: 99%

Silicon Nanostructures for Molecular Sensing: A Review

Vendamani

Rao

Pathak

2022

ACS Appl. Nano Mater.

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“…In the past, metallic nanostructures of various noble metals including silver, − palladium, − platinum, nickel, , copper, ,, and gold ,,,, have been shown as such metal nanoparticle coatings. The metal nanostructures on pSi have predominantly been used in optical sensing as substrates for surface-enhanced Raman spectroscopy (SERS) , with limited examples of use as nanocatalysts − and drug delivery systems. , However, SERS-based sensing is expensive due to the requirement of sophisticated equipment as well as the time-consuming nature of the technique. We hypothesize that the spontaneous formation of metal nanoparticles in the presence of pSi presents an unrealized opportunity to develop nanozymes that can be activated when needed.…”

Section: Introductionmentioning

confidence: 99%

On-Demand Activatable Peroxidase-like Porous Silicon–Gold Nanozymes for Colorimetric Sensing

Saeed,

Jain,

Kokil

et al. 2024

ACS Appl. Nano Mater.

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Nanozymes have shown promise in a range of applications including food safety, environmental monitoring, clinical diagnostics, and bioimaging. However, more complex applications of nanozymes require better control over their catalytical properties. Herein, we report a peroxidase-like nanozyme that can be activated "on demand". This is based on porous silicon (pSi) particles with nanosized gold inclusion, which are spontaneously generated on their surface by simple addition of a gold solution to a pSi particle suspension. The fast and spontaneous formation of gold nanoparticles (AuNPs) activates peroxidase-like nanozyme features. The nanozymes mimic the enzyme−cofactor relationship of natural enzymes with "on-demand" activation. The Michaelis−Menten constant and maximum velocity parameters were obtained as 1.92 mM and 0.37 × 10 −8 MS −1 for tetramethylbenzidine and 0.70 mM and 0.55 × 10 −8 MS −1 for H 2 O 2 , respectively. The activatable AuNP-pSi nanohybrid exhibited strong nanozyme activity with the ability to detect a thiol groupcontaining amino acid, homocysteine (Hcy), with a limit of detection of 0.30 μM. Our findings demonstrated that AuNP-pSi nanozymes can detect Hcy in complex solvents such as human serum efficiently. The AuNP-pSi nanozymes offer a robust stability profile without significant activity loss after 12 weeks of a storage period at room temperature. The AuNP-pSi nanozymes have potential in the development of colorimetric sensors and chemical industry processes that require enzymatic activity to switch on at specific parts of the reaction steps.

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“…Increasing the laser intensity can amplify the intensity of Raman scattering; however, it may damage the measurement samples. Therefore, methods to enhance the Raman scattering intensity using metallic nanostructures have been studied [10][11][12]. Localized surface plasmon resonance (LSPR) is an optical phenomenon caused by the light trapped within metal nanostructures smaller than the wavelength of light [13].…”

Section: Introductionmentioning

confidence: 99%

Investigation of multivariate analysis of surface-enhanced Raman scattering spectra using simple machine-learning models: Prediction of the composition of mixed self-assembled monolayer on gold surface

Nishitsuji,

Kawasaki,

Nakashima

et al. 2023

Preprint

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This study investigates the multivariate analysis of surface-enhanced Raman scattering (SERS) spectra using simple machine-learning models. Substrates with gold nanostructures whose surfaces contain self-assembled monolayers (SAMs) of mixed benzene thiol derivatives (as model molecules) are fabricated, and their SERS spectra are acquired. After preprocessing, the spectra are analyzed using different machine-learning models to compare the prediction accuracies of the mixing compositions of the SAM reagents. The results show that linear discriminant analysis (LDA) achieves the highest prediction accuracy for each combination. The accuracy of LDA (0.996) is higher than that of linear analysis with one variable (0.656), which is conventionally employed in analytical chemistry. The prediction accuracy is 0.994 even when the spectral data of three different SAM reagents are combined into a single data-set, which is used for predictions. This suggests that the model exhibits high performance even when the number of prediction categories increases. We analyze the SERS spectrum with a simple model such as LDA and achieve highly accurate predictions of the mixing compositions of the SAM reagents. This indicates that, even when the measurement data of the SERS spectra are scarce, highly accurate predictions can be made through analysis using a simple prediction model.

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Porous silicon - A versatile platform for mass-production of ultrasensitive SERS-active substrates

Cited by 35 publications

References 140 publications

Silicon Nanostructures for Molecular Sensing: A Review

Silicon Nanostructures for Molecular Sensing: A Review

On-Demand Activatable Peroxidase-like Porous Silicon–Gold Nanozymes for Colorimetric Sensing

Investigation of multivariate analysis of surface-enhanced Raman scattering spectra using simple machine-learning models: Prediction of the composition of mixed self-assembled monolayer on gold surface

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