New Trends and Progress in Plasmonic Sensors and Sensing Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 4971
Special Issue Editor
Interests: integrated photonics; plasmonics; fiber-optic sensors; metasurfaces; wearable sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Plasmonic sensors are at the forefront of sensing technology, with recent advancements bringing new levels of sensitivity, selectivity, and multifunctionality to their various applications. Emerging trends are highlighting innovative nanostructured materials, such as novel plasmonic nanomaterials and hybrid nanostructures, which have the potential to transform these sensors’ detection capabilities in chemical, biological, and environmental sensing. These developments, alongside the integration of plasmonic systems with photonic, electronic, and digital technologies, enable highly precise, real-time monitoring in diverse sectors, including in environmental monitoring, medical diagnostics, and security. Notably, the integration of AI and machine learning into plasmonic sensors is amplifying their potential, allowing for enhanced data analysis, pattern recognition, and predictive capabilities that are reshaping sensor accuracy and speed. This Special Issue invites authors to submit original research articles that explore these innovations or review papers that provide comprehensive overviews of the latest advances and trends in plasmonic sensing. We welcome submissions that offer fresh perspectives on new sensing applications and novel material approaches or interdisciplinary insights that will help define the next generation of plasmonic sensor technologies.
Dr. Muhammad Ali Butt
Guest Editor
Manuscript Submission Information
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Keywords
- surface plasmon polariton
- surface plasmon resonance
- plasmonics
- sensors
- plasmonic nanoparticles
- metal–insulator–metal waveguide
- machine learning
- artificial intelligence
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