Sensitivity Enhancement of a Surface Plasmon Resonance Sensor with Platinum Diselenide

Jia, Yue; Li, Zhongfu; Wang, Haiqi; Saeed, Muhammad; Cai, Houzhi

doi:10.3390/s20010131

Cited by 102 publications

(35 citation statements)

References 50 publications

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“…Attending to these conditions, some metals use, become readily discouraged for plasmonics at NIR, such as Al, due to the high

. Palladium and platinum possess also too much absorption, and lithium, that besides the fact that does not occur freely in nature, it is also highly reactive in the presence of water [ 224 , 225 , 226 , 227 , 228 ]. On the other hand, the unique Au resistance to corrosion properties makes it very appealing, constituting the main differentiation factor between Au and Cu.…”

Section: Methodsmentioning

confidence: 99%

Advances in Plasmonic Sensing at the NIR—A Review

Santos

Almeida

Pastoriza‐Santos

et al. 2021

Sensors

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Surface plasmon resonance (SPR) and localized surface plasmon resonance (LSPR) are among the most common and powerful label-free refractive index-based biosensing techniques available nowadays. Focusing on LSPR sensors, their performance is highly dependent on the size, shape, and nature of the nanomaterial employed. Indeed, the tailoring of those parameters allows the development of LSPR sensors with a tunable wavelength range between the ultra-violet (UV) and near infra-red (NIR). Furthermore, dealing with LSPR along optical fiber technology, with their low attenuation coefficients at NIR, allow for the possibility to create ultra-sensitive and long-range sensing networks to be deployed in a variety of both biological and chemical sensors. This work provides a detailed review of the key science underpinning such systems as well as recent progress in the development of several LSPR-based biosensors in the NIR wavelengths, including an overview of the LSPR phenomena along recent developments in the field of nanomaterials and nanostructure development towards NIR sensing. The review ends with a consideration of key advances in terms of nanostructure characteristics for LSPR sensing and prospects for future research and advances in this field.

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“…Attending to these conditions, some metals use, become readily discouraged for plasmonics at NIR, such as Al, due to the high

Section: Methodsmentioning

confidence: 99%

Advances in Plasmonic Sensing at the NIR—A Review

Santos

Almeida

Pastoriza‐Santos

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Finally, to demonstrate the sensitivity of this configuration, we further simulate the angle shift due to the change of the refractive index in sensing medium which usually assumed to be caused by biological or chemical reactions (Verma, Gupta & RajanJh, 2011;Dai et al, 2019). Consider that the change in refractive index ( (Verma, Gupta & RajanJh, 2011). We must emphasize that although there is an insignificant change of the refractive index but a strongly shifted plasmon resonance curve can be observed.…”

Section: Effect Of the Change Of The Refractive Index In Sensing Mediummentioning

confidence: 99%

“…To overcome this issue, a theoretical approach is considered as an appropriate strategy. In doing so, numerous papers have proposed theoretical modeling of SPR biosensor based on the Kretschmann configuration (Widayanti & Abraha, 2016;Verma, Gupta, RajanJh, 2011;Maurya, Prajapati & Tripathi, 2018;Bhavsar & Prabhu, 2019;Dai et al, 2019;Zhao et al, 2018). However, most of the works (Brahmachari & Ray, 2013;Sadowski, Korhonen & Peltonen, 1995;Sarid & Challener, 2010) done in the formulation and analysis of SPR was employed 84 specialized software.…”

Section: Introductionmentioning

confidence: 99%

A Simple Simulation of Surface Plasmon Resonance in The Kretschmann Configuration Using Google Sheets

Quang

Anh

Hieu

2020

JPFI

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This article describes a simple numerical simulation of three-layer surface plasmon resonance (SPR) in the Kretschmann configuration. The calculation was performed in Google Sheets, a web-based spreadsheet environment that functions similarly to Microsoft Excel where it is easily accessible for students via the internet. Specifically, Fresnel’s equations were utilized to calculate the intensity of the reflected light for the p-polarized incident light on a three-layer system. The complex functions were utilized to plot the SPR curves. We examined the change of the resonance angle by the influence of the incident wavelength. The simulation was also performed for different thicknesses of the gold film layer. To demonstrate the sensitivity, we obtained the SPR curves with the variation of the refractive index in the sensitive medium. The SPR accuracy was analysed by comparing our obtained result with the published work. It is intended to incorporate into undergraduate instrumental analysis courses.

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“…Ease of integration with microfluidic and electronic components is a significant feature for a biosensor to be considered a viable solution. In addition, strong light-matter interaction is an important parameter in sensors and has been achieved through resonance, slot waveguides, and plasmonics [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. A simpler approach would be to use a waveguide platform that leaks a lot of the light into the surrounding material, such as vertical nanowire sensors [ 13 , 14 ] or suspended waveguides [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Integrated Lab-on-a-Chip Optical Biosensor Using Ultrathin Silicon Waveguide SOI MMI Device

El‐Sayed

Sherif

Aljaber

et al. 2020

Sensors

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Waveguides with sub-100 nm thickness offer a promising platform for sensors. We designed and analyzed multimode interference (MMI) devices using these ultrathin platforms for use as biosensors. To verify our design methodology, we compared the measured and simulated spectra of fabricated 220-nm-thick MMI devices. Designs of the MMI biosensors based on the sub-100 nm platforms have been optimized using finite difference time domain simulations. At a length of 4 mm, the 50-nm-thick MMI sensor provides a sensitivity of roughly 420 nm/RIU and with a figure of merit (FOM) definition of sensitivity/full-width-at-half-maximum, the FOM is 133. On the other hand, using a thickness of 70 nm results in a more compact design—only 2.4 mm length was required to achieve a similar FOM, 134, with a sensitivity of 330 nm/RIU. The limits of detection (LOD) were calculated to be 7.1 × 10−6 RIU and 8.6 × 10−6 RIU for the 50 nm and the 70-nm-thick sensor, respectively. The LOD for glucose sensing was calculated to be less than 10 mg dL−1 making it useful for detecting glucose in the diabetic range. The biosensor is also predicted to be able to detect layers of protein, such as biotin-streptavidin as thin as 1 nm. The ultrathin SOI waveguide platform is promising in biosensing applications using this simple MMI structure.

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Sensitivity Enhancement of a Surface Plasmon Resonance Sensor with Platinum Diselenide

Cited by 102 publications

References 50 publications

Advances in Plasmonic Sensing at the NIR—A Review

Advances in Plasmonic Sensing at the NIR—A Review

A Simple Simulation of Surface Plasmon Resonance in The Kretschmann Configuration Using Google Sheets

Integrated Lab-on-a-Chip Optical Biosensor Using Ultrathin Silicon Waveguide SOI MMI Device

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