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Surface Enhanced Raman Spectroscopy for Quantitative Analysis: Results of a Large-Scale European Multi-Instrument
Stefano Fornasaro1, Fatima Alsamad2, Monica Baia3
1Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100 Trieste, Italy.
Analytical Chemistry
|February 12, 2020
Summary
This study reports the first interlaboratory assessment of quantitative Surface-Enhanced Raman Scattering (SERS) methods. It aims to improve the reproducibility and robustness perception of SERS for wider application.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Nanotechnology
Background:
- Surface-Enhanced Raman Scattering (SERS) offers high sensitivity for molecular detection and surface reaction studies.
- Quantitative SERS applications are diverse, but few methods are validated, hindering use in regulated fields due to reproducibility concerns.
- Interlaboratory studies (ILS) assess analytical method quality, but none have been conducted for quantitative SERS.
Purpose of the Study:
- To conduct the first interlaboratory study (ILS) on quantitative Surface-Enhanced Raman Scattering (SERS) methods.
- To establish a methodology for assessing the reproducibility and trueness of quantitative SERS methods.
- To compare different SERS quantification approaches and address the perception of poor robustness.
Main Methods:
- An interlaboratory study involving 15 laboratories and 44 researchers was organized.
- The study focused on defining and evaluating a methodology for assessing quantitative SERS performance.
- Different SERS quantification methods were compared across participating laboratories.
Main Results:
- The study successfully initiated the first ILS for quantitative SERS.
- A framework for evaluating SERS method reproducibility and trueness was explored.
- The collaborative effort provided insights into comparing diverse SERS quantification strategies.
Conclusions:
- This interlaboratory study represents a crucial first step towards the standardization of SERS protocols.
- Addressing the perception of SERS as unreliable requires community-driven validation efforts.
- The findings pave the way for increased confidence and routine implementation of quantitative SERS in various fields.
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