AIMC Topic: Surface Plasmon Resonance

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Silver-Programmed Dual-Optical Au Nanostructures and Machine Learning for Intelligent Biosensing.

Analytical chemistry
The evolution of biosensors demands synergistic improvements in signal transduction and data processing. We present a universal biosensing platform that combines dual-mode signal responses from silver-modulated gold nanorods (AuNRs) and gold-silver n...

Interpretating SPR-Derived Reaction Kinetics via Self-Organizing Maps for Diagnostic Applications.

ACS sensors
Biosensors emerge as promising, cost-effective infectious disease diagnostics in resource-limited settings, requiring neither laboratory infrastructure nor specialized personnel. Surface plasmon resonance (SPR)-based biosensors remain preeminent for ...

SPR-based refractive index sensor design with grated Au-ZnS for dengue detection using machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
In this paper, we propose a Surface Plasmon Resonance (SPR) fiber optic refractive index (RI) sensor. It consists of a multi-mode fiber (MMF) sensor with a bi-metallic nanostructure with Gold (Au) and Zinc Sulphide (ZnS) as the plasmonic sensing laye...

Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor.

IEEE transactions on nanobioscience
This paper presents a terahertz metasurface based sensor design incorporating graphene and other plasmonic materials for highly sensitive detection of different chemicals. The proposed sensor employs the combination of multiple resonator designs - in...

AI-augmented Biophysical modeling in thermoplasmonics for real-time monitoring and diagnosis of human tissue infections.

Journal of thermal biology
Identifying tissue infections from the body still poses an unprecedented challenge in society. Conventional diagnostic procedures are time-consuming and lack a real-time monitoring mode. This study proposes a system with an Artificial Intelligence (A...

Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...

AI integration into wavelength-based SPR biosensing: Advancements in spectroscopic analysis and detection.

Analytica chimica acta
BACKGROUND: In recent years, employing deep learning methods in the biosensing area has significantly reduced data analysis time and enhanced data interpretation and prediction accuracy. In some SPR fields, research teams have further enhanced detect...

Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning.

ACS sensors
Rapidly detecting hydrogen leaks is critical for the safe large-scale implementation of hydrogen technologies. However, to date, no technically viable sensor solution exists that meets the corresponding response time targets under technically relevan...

Advances in exosome plasmonic sensing: Device integration strategies and AI-aided diagnosis.

Biosensors & bioelectronics
Exosomes, as next-generation biomarkers, has great potential in tracking cancer progression. They face many detection limitations in cancer diagnosis. Plasmonic biosensors have attracted considerable attention at the forefront of exosome detection, d...

LSPR-susceptible metasurface platform for spectrometer-less and AI-empowered diagnostic biomolecule detection.

Analytica chimica acta
In response to the growing demand for biomolecular diagnostics, metasurface (MS) platforms based on high-Q resonators have demonstrated their capability to detect analytes with smart data processing and image analysis technologies. However, high-Q re...