Recent Advances in Optical Biosensors for Sensing Applications: a Review

Plasmonics, Год журнала: 2023, Номер 18(2), С. 735 - 750

Опубликована: Фев. 22, 2023

Язык: Английский

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Platinum Diselenide and Graphene-Based Refractive Index Sensor for Cancer Detection

Plasmonics, Год журнала: 2023, Номер 19(2), С. 953 - 962

Опубликована: Сен. 14, 2023

Язык: Английский

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ZnO-Silicon Enhanced Surface Plasmon Resonance Sensor for Chemical Sensing

Silicon, Год журнала: 2024, Номер 16(9), С. 3861 - 3872

Опубликована: Апрель 4, 2024

Язык: Английский

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A Simulation Study for Dengue Virus Detection Using Surface Plasmon Resonance Sensor Heterostructure of Silver, Barium Titanate, and Cerium Oxide

Plasmonics, Год журнала: 2023, Номер 18(6), С. 2031 - 2040

Опубликована: Июнь 29, 2023

Язык: Английский

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Improved Surface Plasmon Effect in Ag-based SPR Biosensor with Graphene and WS2: An Approach Towards Low Cost Urine-Glucose Detection

Plasmonics, Год журнала: 2023, Номер 18(6), С. 2273 - 2283

Опубликована: Июль 15, 2023

Язык: Английский

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Optimizing drug discovery: Surface plasmon resonance techniques and their multifaceted applications

Chemical Physics Impact, Год журнала: 2023, Номер 8, С. 100414 - 100414

Опубликована: Дек. 5, 2023

In recent years, researchers have made significant contributions to the field of Surface Plasmon Resonance sensors and their potential applications. SPR features include real-time monitoring biomolecular interactions, label-free detection, high sensitivity, ability analyze multiple samples at same time. These characteristics make biosensors a valuable tool in pharmaceutical industry for ensuring drug efficacy safety. Furthermore, reputation providing quantitative qualitative superior performance applications such as development, environmental monitoring, food safety, medical diagnostics, clinical diagnosis, biological investigations, biomolecule interactions. This review will go over advances how they can be used discovery development. We also look challenges opportunities using industry.

Язык: Английский

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Black Phosphorous and Cytop Nanofilm-Based Long-Range SPR Sensor with Enhanced Quality Factor

Journal of Sensors, Год журнала: 2023, Номер 2023(1)

Опубликована: Янв. 1, 2023

This numerical work proposes two novel designs of long‐range surface plasmon resonance sensors (LRSPR) using different coupling prisms. The performance analysis the proposed sensor has been investigated parameters like quality factor ( Q ), detection accuracy (DA), sensitivity S and full‐width half maximum (FWHM). transfer matrix method (TMM) employed to compute reflectance. role basic recognition element (BRE) played by popular two‐dimensional (2D) material, black phosphorus (BP), due its many optoelectrical features. obtained values for , DA, are 3333.25 (1/RIU), 250 (degree −1 13.33333 degree/RIU 2S2G coupled design 3055.5 83.33 36.66667 BK7 design. operating wavelength 633 nm, followed principle attenuated total reflection (ATR), carry out theoretical investigation.

Язык: Английский

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Gold, MXene, and graphene nanofilm-based surface plasmon resonance sensor for malaria detection

Journal of Optics, Год журнала: 2024, Номер unknown

Опубликована: Фев. 18, 2024

Язык: Английский

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Detection of Skin, Cervical, and Breast Cancer Using Au–Ag Alloy and WS2-Based Surface Plasmon Resonance Sensor

Plasmonics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 10, 2024

Язык: Английский

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Optimization of Novel 2D Material Based SPR Biosensor Using Machine Learning

IEEE Transactions on NanoBioscience, Год журнала: 2024, Номер 23(2), С. 328 - 335

Опубликована: Янв. 25, 2024

Biosensors are needed for today's health monitoring system detecting different biomolecules. Graphene is a monolayer material that can be utilized to sense biomolecules and design biosensors. We have proposed Graphene-Gold-Silver hybrid structure based on Zinc Oxide which gives sensitive performance detect hemoglobin The advanced biosensor designed this shows the highest sensitivity of 1000 nm/RIU far better concerning similar previously analyzed. graphene-gold-silver presented its possible reflectance results electric field results. E-field match well with given by structure. sensing above where combination improves great extent. optimized parameters obtained applying variations in physical design. machine learning algorithm employed prediction high accuracy simulation resource reduction. used real-time monitoring.

Язык: Английский

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