Surface-Enhanced Raman Spectroscopy: New Perspectives and Future Directions
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3336
Special Issue Editors
Interests: photonics; optoelectronics; optical fiber sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Surface-enhanced Raman spectroscopy (SERS) is a nanostructure-based vibrational spectroscopic technique playing a key role in analytical chemistry, spectroelectrochemistry, bioanalysis, microfluidics, food, and environmental analysis. To achive ultra-high sensitivity, this technique requires plasmonic nanostructures (Ag and Au) to enhance the Raman signals of adsorbed analytes. The sensitivity not only relies on the nature of nanostructures, but also on the morphology of SERS-active nanostructures, interparticle distance, and interaction with analyte molecules. Therefore, there are some bottleneck issues, including reproducibility, reusability, SERS substrates stability, and contamination, that are restricting the number of applications of this technique. Since its discovery, the SERS technique has made significant progress along with developments in nanoscience and nanotechnology. The aim of this Issue, “Surface-Enhanced Raman Spectroscopy: New Perspectives and Future Directions”, is to highlight recent developments in SERS substrates fabrication and novel applications in emerging fields. Researchers are invited to submit both review and research articles.
The Special Issue will offer a platform for the recent research activities in the following areas
- Well-ordered novel SERS substrates
- Alternative nanomaterials for SERS
- SERS applications in energy devices
- Bio-SERS
- Microfluidic SERS
- Role of machine learning and artificial intelligence in SERS analysis
Dr. Marco Pisco
Dr. Rajapandiyan Panneerselvam
Guest Editors
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Keywords
- Surface-enhanced Raman spectroscopy
- Biosensors
- Food analysis
- Spectroelectrochemistry
- Lab on a chip and lab on fiber
- Machine learning and artificial intelligence
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