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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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Related Experiment Video

Updated: Feb 18, 2026

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
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Selectivity/Specificity Improvement Strategies in Surface-Enhanced Raman Spectroscopy Analysis.

Feng Wang1, Shiyu Cao2, Ruxia Yan3

  • 1The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Municipal Education Committee Key Laboratory of Molecular Imaging Probes and Sensors, and Department of Chemistry, Shanghai Normal University, Shanghai 200234, China. wangfeng@shnu.edu.cn.

Sensors (Basel, Switzerland)
|November 22, 2017
PubMed
Summary

Surface-enhanced Raman spectroscopy (SERS) offers powerful compound detection but faces matrix interference. This review highlights five selective techniques to enhance SERS specificity for reliable analysis.

Keywords:
antibodyaptamerchemical reactionmicrofluidicsmolecularly imprinted polymersselectivityspecificitysurface-enhanced Raman spectroscopy

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Biotechnology

Background:

  • Surface-enhanced Raman spectroscopy (SERS) is a sensitive analytical technique.
  • Complex sample matrices often interfere with SERS detection.
  • Selective detection is essential for practical SERS applications.

Purpose of the Study:

  • To review methods for enhancing SERS selectivity.
  • To discuss techniques enabling specific SERS detection.
  • To address challenges in real-world SERS analysis.

Main Methods:

  • Chemical reactions for analyte modification.
  • Immunoassays utilizing antibodies.
  • Nucleic acid aptamers for molecular recognition.
  • Molecularly imprinted polymers (MIPs) as artificial receptors.
  • Microfluidic platforms for sample handling and pre-concentration.

Main Results:

  • Each method offers distinct advantages for SERS-based selective detection.
  • Integration of these techniques improves SERS reliability.
  • Overcoming matrix effects is achievable with tailored approaches.

Conclusions:

  • Selective detection is key to unlocking SERS potential.
  • Combining SERS with chemical reactions, antibodies, aptamers, MIPs, or microfluidics enhances specificity.
  • These strategies facilitate rapid and reliable SERS analysis in complex samples.