Raman Scattering-Based Biosensing

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".

Deadline for manuscript submissions: 1 April 2026 | Viewed by 194

Special Issue Editors


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Guest Editor
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350117, China
Interests: SERS; Raman

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Guest Editor
Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China
Interests: chemical sensing; Raman

Special Issue Information

Dear Colleagues,

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful biosensing technique, offering high sensitivity, molecular specificity, and multiplex detection capabilities. By leveraging plasmonic nanostructures, SERS enables the identification of biomolecules at ultralow concentrations, making it invaluable for biomedical diagnostics, environmental monitoring, and food safety. Recent advancements in nanomaterials, microfluidics, and machine learning have further enhanced its sensitivity and reproducibility, expanding its real-world applications.

This Special Issue aims to highlight recent progress in SERS-based biosensing, focusing on novel strategies to improve detection performance and address challenges in reproducibility and standardization. We welcome contributions that explore innovative nanomaterials, multiplex detection approaches, and interdisciplinary applications in biomedical and environmental fields. This collection will provide insights into emerging trends and technological advancements in SERS biosensing, covering topics including (but not limited to) the following:

  • Nanomaterial engineering for SERS substrates;
  • SERS-based biosensors for disease diagnostics;
  • Multiplex and real-time detection strategies;
  • Integration with microfluidics and portable devices;
  • AI and machine learning for SERS analysis;
  • SERS applications in environmental and food safety monitoring.

In this Special Issue, original research articles and reviews are welcome.

We look forward to receiving your contributions.

Dr. Jing Wang
Dr. Yuan Liu
Guest Editors

Manuscript Submission Information

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Keywords

  • SERS
  • biosensors
  • machine learning
  • biomedical application
  • microfluidics

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Published Papers (1 paper)

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Research

20 pages, 19282 KB  
Article
Single-Exosome SERS Detection by Means of a Flexible Metasurface
by Konstantin Mochalov, Denis Korzhov, Milena Shestopalova, Andrey Ivanov, Konstantin Afanasev, Alexander Smyk, Alexander Shurygin and Andrey K. Sarychev
Biosensors 2025, 15(12), 815; https://doi.org/10.3390/bios15120815 - 15 Dec 2025
Abstract
Single exosomes are detected via surface-enhanced Raman scattering (SERS) due to electromagnetic field accumulation on a specially designed flexible metasurface. This metasurface is a modulated silver nanofilm deposited on a thin, flexible plastic substrate. An explicit Equation for calculating the local electric field [...] Read more.
Single exosomes are detected via surface-enhanced Raman scattering (SERS) due to electromagnetic field accumulation on a specially designed flexible metasurface. This metasurface is a modulated silver nanofilm deposited on a thin, flexible plastic substrate. An explicit Equation for calculating the local electric field is given. The field reaches extremely high values under plasmon resonance conditions and fills the depressions of the metasurface. The thin, flexible metasurface can be incorporated into automated Lab-On-Chip analytical systems and used for spectroscopic studies of exosomes. We propose a method to distinguish individual exosomes from the HEK293T cell line on the metasurface and then obtain and assign their SERS spectra. An important advantage of the plasmonic metasurface presented in this work is its spatial complementarity to exosomes and other vesicle-like objects. The plasmonic metasurface is fabricated using holographic lithography and further investigated using a correlation approach combining atomic force microscopy, scanning spreading resistance microscopy, and surface-enhanced spectroscopy. Full article
(This article belongs to the Special Issue Raman Scattering-Based Biosensing)
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