Laser Photochemical Nanostructuring of Silicon for Surface Enhanced Raman Spectroscopy

Akbıyık, Alp; Avishan, Nardin; Demirtaş, Özge; Demir, Ahmet; Yüce, Emre; Bek, Alpan

doi:10.1002/adom.202200114

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…In our recent study, we showed that most enhanced Raman signals are observed from the substrates with dense etched surfaces and no significant signal is obtained from Ag on flat Si surfaces. [ 65 ]…”

Section: Resultsmentioning

confidence: 99%

LIPSS for SERS: Metal Coated Direct Laser Written Periodic Nanostructures for Surface Enhanced Raman Spectroscopy

Erkızan

İdikut

Demirtaş

et al. 2022

Advanced Optical Materials

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molecular identification technique that originates from the marriage of the high molecular specificity of Raman spectra and the ultra-high signal amplification property of plasmonic metal nanostructures. [1][2][3][4][5][6][7][8] SERS technique shows great promise in a wide variety of fields including biosensing, gas phase chemical detection, and single molecule detection. [9][10][11][12][13][14][15] Besides the high and spatially uniform enhancement factor (EF); chemical stability, reproducibility, precision, and fast fabrication in large areas with less debris are demanded for ideal SERS substrates. [16,17] Even though metallic nanoparticles exhibit high SERS EFs, they do not offer proper particle stability, and use in large areas. [18][19][20] Femtosecond laserbased techniques offer the fabrication of highly sensitive SERS substrates with low detection limits. [21][22][23] On the contrary to wet chemical synthesis procedures, uniformity, robustness, and reproducibility are provided by laser-assisted periodic nanostructures. Without any lithographic processes, the number of processes to fabricate highly sensitive SERS sensing devices is also reduced. [24][25][26] Generation of laser-induced periodic surface structuring (LIPSS) by using the direct laser writing technique with ultrafast (femtosecond -fs) laser sources [27] is a fast and low-cost method compared to other well-established techniques such as laser interference lithography, [28] photolithography, electron beam lithography, and nanoimprint lithography. [29] Controlling the irradiation wavelength, the number of pulses on the spot, the polarization direction of the beam, repetition rate, the fluence of the ultrafast laser, and the scanning speed leads to the formation of the nano ripples on semiconductors and metals. [30][31][32][33][34] Nanoripples formed by an fs-laser can be classified into two, Low Spatial Frequency LIPSS (LSFL) and High Spatial Frequency LIPSS (HSFL). [35] Furthermore, both types of structures, formed on metal and semiconductor surfaces, have potential benefits as a SERS substrate as well. [36][37][38][39][40][41] LSFL structures exhibit periods close to irradiation wavelength, meanwhile; HSFL structures have periods smaller than half of the irradiation wavelength. [35,[42][43][44][45][46] The formation mechanism of LSFL structures was first introduced by Sipe theory in 1982. [47] With the appropriate energy exposure and the high number of free carriers on the surface, the dielectric A novel method of fabricating large-area, low-cost surface-enhanced Raman spectroscopy (SERS) substrates is introduced which yields densely nanostructured surfaces utilizing laser-induced periodic surface structuring (LIPSS) of crystalline silicon (Si). Two different interaction regimes yield low spatial frequency (LSFL) and high spatial frequency (HSFL) LIPSS patterns. Nanostructuring of Si surface is followed by deposition of a thin noble metal layer to complete the fabrication procedure. A 50-70 nm thick Ag layer is shown to maximize the SERS perform...

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Section: Resultsmentioning

confidence: 99%

LIPSS for SERS: Metal Coated Direct Laser Written Periodic Nanostructures for Surface Enhanced Raman Spectroscopy

Erkızan

İdikut

Demirtaş

et al. 2022

Advanced Optical Materials

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“…It can conduct a nondestructive analysis of the gas phase, the liquid phase, the aqueous phase, and the composition. [ 43 ] Raman spectroscopy detection is the most advanced method for inclusions composition analysis. Wang et al [ 44 ] indicated that Raman spectroscopy is a very effective tool for in situ mineral identification, which can complement the performance of existing spectral methods.…”

Section: Sensing and Imaging Modulementioning

confidence: 99%

Application of Image Sensing System in Mineral/Rock Identification: Sensing Mode and Information Process

Zhang,

Yang,

Sun

et al. 2023

Advanced Intelligent Systems

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Artificial intelligence promotes the development of mineral/rock automatic recognition technology to reduce labor costs and reliance on personal experience. With instrument digitization, image recognition has played an increasingly important role. This review focuses on the image sensing system applied to mineral/rock identification and redivides this system into a sensing module, an imaging module, and an information processing module. The sensing and imaging mechanisms are summarized via technologies of sensing, imaging, and display. The information processing is classified into single‐modal or multimodal recognition. This review analyzes the limitations of single‐modal recognition and discusses the advantages and significance of multimodal recognition. The challenges of current mineral/rock identification are concluded, such as public database, multimodal learning, and portable sensing system. The interdisciplinary sensing technologies are discussed, and application feasibility is explored. This review aims to provide a reference for the research community in automatic mineral/rock identification and sensing system optimization.

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“…However, the enhanced Raman effect of pure silicon is not as sensitive as that of precious metals; therefore, the synergistic effect of precious metals is needed [ 12 , 13 , 14 ]. It has previously been demonstrated that 3D structured silicon with a large specific surface area and controlled 3D structure can effectively increase the number of hot spots and further improve the sensitivity of SERS signals [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

A Simple Method for the Fabrication of Silicon Inverted Pyramid Substrates for Surface-Enhanced Raman Spectroscopy

et al. 2023

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Silicon inverted pyramids have been shown to exhibit superior SERS properties compared to ortho-pyramids, yet low-cost, simple preparation processes are lacking at present. This study demonstrates a simple method, silver-assisted chemical etching combined with PVP, to construct silicon inverted pyramids with a uniform size distribution. Two types of Si substrates for surface-enhanced Raman spectroscopy (SERS) were prepared via silver nanoparticles deposited on the silicon inverted pyramids by electroless deposition and radiofrequency sputtering, respectively. The experiments were conducted using rhodamine 6G (R6G), methylene blue (MB) and amoxicillin (AMX) molecules to test the SERS properties of the Si substrates with inverted pyramids. The results indicate that the SERS substrates show high sensitivity to detect the above molecules. In particular, the sensitivity and reproducibility of the SERS substrates with a denser silver nanoparticle distribution, prepared by radiofrequency sputtering, are significantly higher than those of the electroless deposited substrates to detect R6G molecules. This study sheds light on a potential low-cost and stable method for preparing silicon inverted pyramids, which is expected to replace the costly commercial Klarite SERS substrates.

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Laser Photochemical Nanostructuring of Silicon for Surface Enhanced Raman Spectroscopy

Cited by 5 publications

References 42 publications

LIPSS for SERS: Metal Coated Direct Laser Written Periodic Nanostructures for Surface Enhanced Raman Spectroscopy

LIPSS for SERS: Metal Coated Direct Laser Written Periodic Nanostructures for Surface Enhanced Raman Spectroscopy

Application of Image Sensing System in Mineral/Rock Identification: Sensing Mode and Information Process

A Simple Method for the Fabrication of Silicon Inverted Pyramid Substrates for Surface-Enhanced Raman Spectroscopy

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