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Related Experiment Video

Updated: Jun 17, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Novel bottom-up SERS substrates for quantitative and parallelized analytics.

Katharina K Strelau1, Thomas Schüler, Robert Möller

  • 1JBCI, Institute of Physical Chemistry, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany.

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|December 25, 2009
PubMed
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Researchers developed a new method for creating reproducible and affordable Surface-Enhanced Raman Spectroscopy (SERS) substrates using enzyme-induced silver nanostructures. Electrical conductivity predicts SERS activity, enabling reliable and quantifiable measurements.

Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Nanotechnology

Background:

  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for analytical, bioanalytical, and biosensing applications.
  • Reliable and reproducible SERS substrates are crucial for widespread adoption but are currently lacking.
  • Existing methods for substrate characterization are often time-consuming and interfere with measurements.

Purpose of the Study:

  • To develop a low-cost, scalable, and reproducible method for producing SERS substrates.
  • To establish a non-destructive characterization technique for predicting SERS substrate activity.
  • To enable quantifiable SERS measurements through substrate property correlation.

Main Methods:

  • Enzyme-induced growth of silver nanostructures for SERS substrate fabrication.

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Glycan Node Analysis: A Bottom-up Approach to Glycomics
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Last Updated: Jun 17, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Glycan Node Analysis: A Bottom-up Approach to Glycomics
11:36

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

  • Micropatterning of SERS-active surfaces on a large scale.
  • Measurement of electrical conductivity to characterize SERS activity.

    • Main Results:

    • Achieved low-cost, large-scale production of reproducible SERS substrates.
    • Demonstrated that unique silver nanoparticle structures maintain SERS activity at high densities (>60%).
    • Established a direct correlation between electrical conductivity and SERS activity, enabling prediction and quantification.

    Conclusions:

    • Enzyme-induced silver nanostructure growth provides a reliable and economical route to SERS substrates.
    • Electrical conductivity serves as a predictive and quantifiable metric for SERS substrate performance.
    • This approach facilitates the use of SERS as a standard analytical tool with enhanced reproducibility.