Self-referenced refractive index sensor based on double-dips method with bimetal-dielectric and double-groove grating

Zhao, Maolin; Wang, Junxian; Zhang, Yizhuo; Ge, Mengfan; Zhang, Pengyu; Shen, Jian; Li, Chaoyang

doi:10.1364/oe.454344

Cited by 12 publications

(4 citation statements)

References 66 publications

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“…We obtain the dependence of the FWHM linewidth calculated by the PSD of frequency noise on the output power depicted in Figure 11c. In general, the theoretical expected spectral linewidth of the single-mode semiconductor lasers caused by the spontaneous emission and the carrier concentration noise can be calculated by [48][49][50][51]:…”

Section: Resultsmentioning

confidence: 99%

A 1083 nm Narrow-Linewidth DFB Semiconductor Laser for Quantum Magnetometry

Wang

et al. 2023

Photonics

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A 1083 nm laser, corresponding to a characteristic spectral line of 3He 23S1−–23P, is the core light source for spin-exchange optical pumping-free technology, and thus has important developmental significance. In this paper, precise wavelength 1083.34 nm semiconductor lasers with 285 mW output power, −144.73 dBc/Hz RIN noise and 30.9952 kHz linewidth have been successfully achieved via reasonable chips design, high-quality epitaxial growth process and ultra-low reflectivity coating fabrication. All the results show the highest output power and ultra-narrow linewidth of the single-frequency 1083 nm DFB semiconductor laser achieved in this paper, which can fully satisfy the requirement of quantum magnetometers.

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Section: Resultsmentioning

confidence: 99%

A 1083 nm Narrow-Linewidth DFB Semiconductor Laser for Quantum Magnetometry

Wang

et al. 2023

Photonics

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“…The negative plasmonic dip shifting means the plasmonic angle shifts towards a lower plasmonic resonance angle when the sample refractive index increases. It is established that this is due to the adverse diffraction orders of gratings or scattering surfaces [ 57 ]. The reflectance spectra at the operating point ‘a’ ( h and cl of 3 nm and 10 nm, respectively), as shown in Figure 9 a, had an S of −379.88 rad/μm 2 ; approximately threefold of the magnitude of the S acquired from the ideal uniform sensor.…”

Section: Resultsmentioning

confidence: 99%

Sensing Mechanisms of Rough Plasmonic Surfaces for Protein Binding of Surface Plasmon Resonance Detection

Treebupachatsakul

Shinnakerdchoke

Pechprasarn

2023

Sensors

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Surface plasmon resonance (SPR) has been utilized in various optical applications, including biosensors. The SPR-based sensor is a gold standard for protein kinetic measurement due to its ultrasensitivity on the plasmonic metal surface. However, a slight change in the surface morphology, such as roughness or pattern, can significantly impact its performance. This study proposes a theoretical framework to explain sensing mechanisms and quantify sensing performance parameters of angular surface plasmon resonance detection for binding kinetic sensing at different levels of surface roughness. The theoretical investigation utilized two models, a protein layer coating on a rough plasmonic surface with and without sidewall coatings. The two models enable us to separate and quantify the enhancement factors due to the localized surface plasmon polaritons at sharp edges of the rough surfaces and the increased surface area for protein binding due to roughness. The Gaussian random surface technique was employed to create rough metal surfaces. Reflectance spectra and quantitative performance parameters were simulated and quantified using rigorous coupled-wave analysis and Monte Carlo simulation. These parameters include sensitivity, plasmonic dip position, intensity contrast, full width at half maximum, plasmonic angle, and figure of merit. Roughness can significantly impact the intensity measurement of binding kinetics, positively or negatively, depending on the roughness levels. Due to the increased scattering loss, a tradeoff between sensitivity and increased roughness leads to a widened plasmonic reflectance dip. Some roughness profiles can give a negative and enhanced sensitivity without broadening the SPR spectra. We also discuss how the improved sensitivity of rough surfaces is predominantly due to the localized surface wave, not the increased density of the binding domain.

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“…Independently of the principle (SPP or LSP) on which a plasmonic RI sensor is based, external factors, such as vibrations and intensity fluctuations, may affect the sensing accuracy. To mitigate this issue, a variety of self-referenced RI plasmonic sensors have been proposed [ 31 , 32 , 33 , 34 , 35 , 36 ]. These are mostly based on the generation of independent multiple resonances with different sensitivities to the refractive index of the surrounding medium.…”

Section: Introductionmentioning

confidence: 99%

“…In intensity interrogation schemes, self-referencing is typically achieved by obtaining the quotient between the intensities of two resonances, both equally affected by light intensity fluctuations. Reported self-referenced plasmonic RI sensors include prism-based configurations [ 31 , 32 ] and grating-based structures [ 33 , 34 , 35 , 36 ]; however, to our knowledge, no self-referenced RI sensors based on metal nanoislands have been reported so far.…”

Section: Introductionmentioning

confidence: 99%

A Self-Referenced Refractive Index Sensor Based on Gold Nanoislands

Barrios

Mirea

Represa

2022

Sensors

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We report on a self-referenced refractive index optical sensor based on Au nanoislands. The device consists of a random distribution of Au nanoislands formed by dewetting on a planar SiO2/metal Fabry–Pérot cavity. Experimental and theoretical studies of the reflectance of this configuration reveal that its spectral response results from a combination of two resonances: a localized surface plasmon resonance (LSPR) associated to the Au nanoislands and the lowest-order anti-symmetric resonance of the Fabry–Pérot cavity. When the device is immersed in different fluids, the LSPR contribution provides high sensitivity to refractive index variations of the fluid, whereas those refractive index changes have little impact on the Fabry–Pérot resonance wavelength, allowing its use as a reference signal. The self-referenced sensor exhibits a spectral sensitivity of 212 nm/RIU (RIU: refractive index unit), which is larger than those of similar structures, and an intensity sensitivity of 4.9 RIU−1. The proposed chip-based architecture and the low cost and simplicity of the Au nanoisland synthesis procedure make the demonstrated sensor a promising self-referenced plasmonic sensor for compact biosensing optical platforms based on reflection mode operation.

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Self-referenced refractive index sensor based on double-dips method with bimetal-dielectric and double-groove grating

Cited by 12 publications

References 66 publications

A 1083 nm Narrow-Linewidth DFB Semiconductor Laser for Quantum Magnetometry

A 1083 nm Narrow-Linewidth DFB Semiconductor Laser for Quantum Magnetometry

Sensing Mechanisms of Rough Plasmonic Surfaces for Protein Binding of Surface Plasmon Resonance Detection

A Self-Referenced Refractive Index Sensor Based on Gold Nanoislands

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