Highly sensitive multiplex-detection of surface-enhanced Raman scattering via self-assembly arrays of porous AuAg nanoparticles with built-in nanogaps

Pandey, Puran; Shin, Ki Hoon; Jang, A‐Rang; Seo, Min-Kyu; Hong, Woong-Ki; Sohn, Jung Inn

doi:10.1016/j.jallcom.2021.161504

Cited by 19 publications

(11 citation statements)

References 33 publications

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“…data from SERS detection of the cancer biomarkers CEA and NSE. The results have implications for the design of functional nanoprobes for built-in nanogap-based multiplex detection [1,30] and optimization of SERS-based biosensors for detection of cancer biomarkers, which is part of our ongoing work. In an earlier study of nanogap-based multiplex detection [30], self-assembled arrays of porous AuAg nanoparticles were prepared as built-in nanogaps for highly sensitive SERS detection of organic dyes (e.g., Rhodamine 6 G).…”

Section: Supplementary Materialsmentioning

confidence: 98%

“…The results have implications for the design of functional nanoprobes for built-in nanogap-based multiplex detection [1,30] and optimization of SERS-based biosensors for detection of cancer biomarkers, which is part of our ongoing work. In an earlier study of nanogap-based multiplex detection [30], self-assembled arrays of porous AuAg nanoparticles were prepared as built-in nanogaps for highly sensitive SERS detection of organic dyes (e.g., Rhodamine 6 G). The multiple nanogaps between the nano-granules presented porosities and high surfaceto-volume ratios that were exploited for the enhancement of an electromagnetic field at the dense built-in nanogaps, presenting a potential pathway towards creation of SERS hotspots.…”

Section: Supplementary Materialsmentioning

confidence: 98%

“…Figure 3 shows a typical set of plots of the EMFs at the different locations (Au O , Au I , C, M@Au I , and M@Au O ) of the dimer with various magnetic core sizes (6, 20, and 30 nm) and Au shell thickness (1, 3, 5, and 10 nm) vs. Au NPs size (11,30,45, 60, and 75 nm). The interparticle distance was defined by antibody-antigen-antibody binding (Ab1/Au-CEA-Ab2/M@Au).…”

Section: Au Np Sizementioning

confidence: 99%

“…Figure 4 shows a typical set of plots of the plasmonic fields at the different locations (Au O , Au I , C, M@Au I , and M@Au O ) of the dimer with various magnetic core sizes (6, 20, and 30 nm) and Au shell thickness (1, 3, 5, and 10 nm) vs. Au NPs size (11,30,45, 60, and 75 nm). In general, the trends were very similar to those in Figure 3 with subtle differences in absolute values.…”

Section: Au Np Sizementioning

confidence: 99%

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Assessing Plasmonic Nanoprobes in Electromagnetic Field Enhancement for SERS Detection of Biomarkers

Cheng

Xue

et al. 2021

Sensors

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The exploration of the plasmonic field enhancement of nanoprobes consisting of gold and magnetic core@gold shell nanoparticles has found increasing application for the development of surface-enhanced Raman spectroscopy (SERS)-based biosensors. The understanding of factors controlling the electromagnetic field enhancement, as a result of the plasmonic field enhancement of the nanoprobes in SERS biosensing applications, is critical for the design and preparation of the optimal nanoprobes. This report describes findings from theoretical calculations of the electromagnetic field intensity of dimer models of gold and magnetic core@gold shell nanoparticles in immunoassay SERS detection of biomarkers. The electromagnetic field intensities for a series of dimeric nanoprobes with antibody–antigen–antibody binding defined interparticle distances were examined in terms of nanoparticle sizes, core–shell sizes, and interparticle spacing. The results reveal that the electromagnetic field enhancement not only depended on the nanoparticle size and the relative core size and shell thicknesses of the magnetic core@shell nanoparticles but also strongly on the interparticle spacing. Some of the dependencies are also compared with experimental data from SERS detection of selected cancer biomarkers, showing good agreement. The findings have implications for the design and optimization of functional nanoprobes for SERS-based biosensors.

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Section: Supplementary Materialsmentioning

confidence: 98%

Section: Supplementary Materialsmentioning

confidence: 98%

Section: Au Np Sizementioning

confidence: 99%

Section: Au Np Sizementioning

confidence: 99%

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Assessing Plasmonic Nanoprobes in Electromagnetic Field Enhancement for SERS Detection of Biomarkers

Cheng

Xue

et al. 2021

Sensors

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“…Therefore, several fabrication methods have been developed to construct highly SERS-active substrates, such as bimetallic alloy, core-shell, core-satellite, and core-shell-satellite nanostructures, etc. [21][22][23][24]. Among these SERS-active nanostructures, the plasmonic core-shell-satellite (PCSS) offers several advantages: (i) protection of the plasmonic core from oxidation, (ii) maintenance of the shape of the core even at high temperatures, (iii) tuning of LSPR properties along with the adjustment of core and satellite size, and (iv) maintenance of small nanogaps between plasmonic core and satellite, producing a strong EM field hotspot [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Plasmonic Core–Shell–Satellites with Abundant Electromagnetic Hotspots for Highly Sensitive and Reproducible SERS Detection

Pandey

Kunwar

Shin

et al. 2021

IJMS

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In this work, we develop a Ag@Al2O3@Ag plasmonic core–shell–satellite (PCSS) to achieve highly sensitive and reproducible surface-enhanced Raman spectroscopy (SERS) detection of probe molecules. To fabricate PCSS nanostructures, we employ a simple hierarchical dewetting process of Ag films coupled with an atomic layer deposition (ALD) method for the Al2O3 shell. Compared to bare Ag nanoparticles, several advantages of fabricating PCSS nanostructures are discovered, including high surface roughness, high density of nanogaps between Ag core and Ag satellites, and nanogaps between adjacent Ag satellites. Finite-difference time-domain (FDTD) simulations of the PCSS nanostructure confirm an enhancement in the electromagnetic field intensity (hotspots) in the nanogap between the Ag core and the satellite generated by the Al2O3 shell, due to the strong core–satellite plasmonic coupling. The as-prepared PCSS-based SERS substrate demonstrates an enhancement factor (EF) of 1.7 × 107 and relative standard deviation (RSD) of ~7%, endowing our SERS platform with highly sensitive and reproducible detection of R6G molecules. We think that this method provides a simple approach for the fabrication of PCSS by a solid-state technique and a basis for developing a highly SERS-active substrate for practical applications.

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3D Spiky Needle‐Clustered Ag@Au Plasmonic Nanoarchitecture for Highly Sensitive and Machine Learning‐Assisted Detection of Multiple Hazardous Molecules

Seo,

Kim,

Yang

et al. 2024

Advanced Sensor Research

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To develop a field applicable hazardous molecular detection system, highly sensitive and multiplex detection capability is required for practical utilization. Here, a paper‐based 3D spiky needle‐clustered gold grown on silver (Ag@Au) plasmonic nanoarchitecture (3D‐SNCP) is fabricated through whole solution process. The developed substrate is investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X‐ray diffraction (XRD) to find out morphological development mechanism. Also, finite‐domain time difference (FDTD) simulation is conducted for the observation of electromagnetic field (E‐field) distribution. After surface‐enhanced Raman scattering (SERS) characterization, the 3D‐SNCP is utilized for ultra‐sensitive and multiplex hazardous molecular detection, such as bipyridine pesticides including paraquat (PQ), diquat (DQ), and difenzoquat (DIF). Then, each of pesticide molecular Raman signals are trained by a machine learning technique of multinomial logistic regression (MLR), followed by multiplex classificationf of blank, PQ, DQ, DIF, and four mixture types of each pesticide, spiked in real agricultural matrix. The developed 3D‐SNCP substrate combined with the machine learning method successfully verifies the multiple pesticides and it is expected to be applied for various hazardous molecular detection in much complicated matrix environments.

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Highly sensitive multiplex-detection of surface-enhanced Raman scattering via self-assembly arrays of porous AuAg nanoparticles with built-in nanogaps

Cited by 19 publications

References 33 publications

Assessing Plasmonic Nanoprobes in Electromagnetic Field Enhancement for SERS Detection of Biomarkers

Assessing Plasmonic Nanoprobes in Electromagnetic Field Enhancement for SERS Detection of Biomarkers

Plasmonic Core–Shell–Satellites with Abundant Electromagnetic Hotspots for Highly Sensitive and Reproducible SERS Detection

3D Spiky Needle‐Clustered Ag@Au Plasmonic Nanoarchitecture for Highly Sensitive and Machine Learning‐Assisted Detection of Multiple Hazardous Molecules

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