Nanomaterial-Based SERS Sensing and Detection Technology

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 22

Special Issue Editor


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Guest Editor
Department of Chemistry and CSGI, University of Florence, Via della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy
Interests: multifunctional nanomaterials: synthesis and characterisation; nanosensors; biomimetic nanosytems; SERS; biosensor
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Special Issue Information

Dear Colleagues,

Surface-enhanced Raman scattering was discovered in the 1970s. After decades of research and exploration, the advantages of SERS in detection, sensing and analysis have been gradually developed and widely used in materials science, biological science and other fields.

Substrate material was an important factor affecting SERS. In the past few years, nanomaterial based SERS sensing has become a emerged field, and the synthesis, structure and function of nanomaterials as SERS substrates have become the focus. Therefore, through theoretical discussion and experimental exploration, further exploring the relevant properties of these nanomaterials, optimizing their performance in SERS technology, and seeking innovative application fields of nanomaterial-based SERS sensing technology are important work for the further development of SERS technology.

As motivated by these, the Research Topic welcomes articles on, but not limited to, the following list of subjects, calling for either experimental and / or modelling results:

  1. Synthesis and characterization of nanomaterials in SERS technology.
  2. Design and structural characterization of nanoscale SERS substrate.
  3. Machine learning tools in nanomaterial-based SERS technology.
  4. Review of advances in nanomaterial-based SERS sensing technology.

Prof. Dr. Gabriella Caminati
Guest Editor

Manuscript Submission Information

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Keywords

  • surface-enhanced Raman scattering
  • SERS substrates
  • SERS sensing
  • nanomaterials-based SERS
  • nanomaterial-based sensing
  • machine learning in SERS sensing

Published Papers

This special issue is now open for submission.
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