Imprinted plasmonic measuring nanocylinders for nanoscale volumes of materials

Zhu, Jinfeng; Chen, Xizhao; Xie, Yinong; Ou, Jun‐Yu; Chen, Huanyang; Liu, Qing

doi:10.1515/nanoph-2019-0369

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…As a very important member of the metamaterial family, plasmonic metamaterials with layered metal/dielectric hybrid nanostructures attract great attention due to their broad applications, including light trapping, sensing, detection, energy storage and thermal irradiation. [1][2][3][4][5][6] These metamaterials typically consist of vertically periodic alternating metal/dielectric layered nanostructures, such as hyperbolic metamaterials and broadband metamaterial absorbers. [7][8][9][10] They are usually assumed as an effective medium with the aim to calculate their optical responses in theory, which limits the use of plasmonic metamaterials with layered nanostructures.…”

Section: Introductionmentioning

confidence: 99%

Real‐Time On‐Demand Design of Circuit‐Analog Plasmonic Stack Metamaterials by Divide‐and‐Conquer Deep Learning

Xiong

Shen

Gao

et al. 2022

Laser & Photonics Reviews

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The design of plasmonic stack metamaterials (PSMs) is critical due to their promising potentials in the fields of optical absorbers, sensors, and thermal irradiation. Compared with the classical circuit‐based optimization, the design by deep learning (DL) has attracted greater attention, since it is not essential to obtain their equivalent circuit parameters. Currently, a DL model for their higher‐precision design, especially with complicated spectral features, is still quite in demand. Here, a divide‐and‐conquer DL model based on a bidirectional artificial neural network is proposed. As proof‐of‐concept examples, the PSMs consisting of two metal/dielectric/metal/dielectric subwavelength stacks are adopted to demonstrate the validity of the paradigm. It demonstrates a significant prediction error reduction of 37.5% with the 47.8% decrease of training parameters than the conventional method in the forward network, which supports a powerful inverse design from spectra to PSM structures. Furthermore, a flexible tool based on the free customer definition, which facilitates the real‐time design of PSMs with various circuit‐analog functions, is developed. The fabrication and measurement experiments verify the design performance of the method. The study enhances the precision and convenience of on‐demand circuit‐analog PSMs and will provide a guide for fast high‐performance inverse design of many other metamaterials.

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Section: Introductionmentioning

confidence: 99%

Real‐Time On‐Demand Design of Circuit‐Analog Plasmonic Stack Metamaterials by Divide‐and‐Conquer Deep Learning

Xiong

Shen

Gao

et al. 2022

Laser & Photonics Reviews

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“…SPR makes use of nanostructures and/or nanostructured metal films which remove the need for complex detection instrumentation [13]. These abilities of SPR make it a good candidate for creating a plasmonic sensor which is easy to use, reliable, capable of on-site detection, selective, and sensitive enough to measure low concentration of biomolecules or biomarker targets [14][15][16][17]. Coupled with microfluidics, SPR detection can be used as a handheld device for easy diagnosis and treatment [18].…”

Section: Introductionmentioning

confidence: 99%

A plasmonic nanoledge array sensor for detection of anti-insulin antibodies of type 1 diabetes biomarker

Bagra¹,

Mabe²,

Tukur³

et al. 2020

Nanotechnology

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Here we present a plasmonic nanoledge device with high sensitivity and selectivity used to detect protein biomarkers simply by functionalizing the device, which specifically binds to particular biomolecule or biomarkers. We employ this plasmonic nanoledge device for the detection of anti-insulin antibodies of type 1 diabetes (T1D) in buffer and human serum at the range of pg ml −1 to 100 ng ml −1 . The signal transduction is based on the extraordinary optical transmission (EOT) through the nanoledge array and the optical spectral changes with the biological binding reaction between the surface functionalized insulin with anti-insulin antibody. Control experiments indicate little interferences from the human serum background and addition of other proteins such as bovine serum albumin (BSA) and epidermal growth factor (EGF) at 20 ng ml −1 . The high sensitivity, specificity and easy adaptability of the plasmonic device offer new opportunities in biosensing and diagnostic applications for T1D.

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“…Optical biosensing technologies are widely used in current biomedical and environmental monitoring applications because they provide a reliable and quick way to identify and discriminate specific objects from a wide range of samples. [2][3][4][5] More interestingly, Optical biosensors outperform standard analytical techniques by delivering highly-sensitive, selective, and cost-effective real-time and label-free detection of biological and chemical molecules. [6,7] High specificities, sensitivity, small size, and cost-effectiveness are among the benefits.Metasurfaces are planar or 2D forms of metamaterials made up of arrays of antennas with a subwavelength thickness.…”

mentioning

confidence: 99%

Optical Sensing by Metamaterials and Metasurfaces: From Physics to Biomolecule Detection

Khan

Xie

et al. 2022

Advanced Optical Materials

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Optical biosensors are a versatile detection and analysis tool used in biological research, health care, pharmaceuticals, environmental monitoring, homeland security, and the battlefield. [1] They do not interfere with electromagnetic (EM) radiation, manifest distant sensing capability, and may enable multiplexed detection in a single device. Optical biosensing technologies are widely used in current biomedical and environmental monitoring applications because they provide a reliable and quick way to identify and discriminate specific objects from a wide range of samples. [2][3][4][5] More interestingly, Optical biosensors outperform standard analytical techniques by delivering highly-sensitive, selective, and cost-effective real-time and label-free detection of biological and chemical molecules. [6,7] High specificities, sensitivity, small size, and cost-effectiveness are among the benefits.Metasurfaces are planar or 2D forms of metamaterials made up of arrays of antennas with a subwavelength thickness. They have been rapidly developed in the recent years due to their ability to manipulate light-matter interaction in both linear and non-linear regimes at the nanoscale. Various metasurfaces display remarkable optical features, such as acute resonance, significant nearfield enhancement, and suitable capacity to support electric and magnetic modes, on account of the strong light-matter interaction and the low optical loss. Due to these important properties, they can be used in several advanced optoelectronic applications, like surface-enhanced spectroscopy, photocatalysis, and sensing. This review reports on the recent progress of metamaterials and metasurfaces in molecular optical sensors. The principles that govern plasmonic and dielectric metasurfaces along with their features are outlined, supported by numerous examples. Then, the factors that result in a high Q-factor are presented in order to show that metamaterials and metasurfaces can be used for label-free sensing in a variety of detection mechanisms, including surface-enhanced spectroscopy, refractometric sensing, and surface-enhanced thermal emission spectroscopy via infrared absorption and Raman scattering, as well as chiral sensing. Finally, the challenges for future development are outlined.

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Imprinted plasmonic measuring nanocylinders for nanoscale volumes of materials

Cited by 7 publications

References 23 publications

Real‐Time On‐Demand Design of Circuit‐Analog Plasmonic Stack Metamaterials by Divide‐and‐Conquer Deep Learning

Real‐Time On‐Demand Design of Circuit‐Analog Plasmonic Stack Metamaterials by Divide‐and‐Conquer Deep Learning

A plasmonic nanoledge array sensor for detection of anti-insulin antibodies of type 1 diabetes biomarker

Optical Sensing by Metamaterials and Metasurfaces: From Physics to Biomolecule Detection

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