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Updated: Jun 2, 2026

Tracking Electrochemistry on Single Nanoparticles with Surface-Enhanced Raman Scattering Spectroscopy and Microscopy
Published on: May 12, 2023
Pushing Complexometric Titrations in the Nanomolar Range through Surface-Enhanced Raman Scattering Monitoring.
Angélina Noclain1, Gaëlle Charron1
1Université Paris Cité, CNRS, Matière et Systèmes Complexes, F-75013 Paris, France.
This study revives complexometric titrations for copper (Cu2+) detection using Surface-Enhanced Raman Scattering (SERS). The method achieves high sensitivity at environmentally relevant levels, offering a frugal and accessible alternative for water quality monitoring.
Area of Science:
- Analytical Chemistry
- Environmental Science
Background:
- Traditional complexometric titrations are limited by sensitivity (μM to mM range) due to colorimetric endpoint detection.
- Atomic instrumental methods replaced older titrations but are often inaccessible in low-resource settings.
- There is a critical need for sensitive, low-cost water quality monitoring tools, especially in remote areas.
Purpose of the Study:
- To develop a sensitive and frugal method for detecting copper (Cu2+) in water using complexometric titration.
- To adapt Surface-Enhanced Raman Scattering (SERS) for monitoring titration endpoints.
- To demonstrate the applicability of SERS-based titrations for environmental monitoring.
Main Methods:
- Revisiting complexometric titration for Cu2+ detection.
- Utilizing Surface-Enhanced Raman Scattering (SERS) for endpoint monitoring.
- Performing titrations with SERS measurements to generate titration curves.
Main Results:
- Achieved sensitivity down to 250 nM for Cu2+ detection, relevant for environmental concentrations.
- SERS titration curves accurately mirrored thermodynamic predictions.
- Demonstrated trueness of 75 ± 1% (coarse) and 96 ± 3% (fine resolution).
- Method is cost-effective (28 euros) and field-deployable with basic equipment (10 keuros instrument).
Conclusions:
- SERS-enhanced complexometric titration offers a sensitive, frugal, and accessible alternative to traditional methods for heavy metal detection.
- This approach addresses the limitations of instrumental methods in resource-constrained environments.
- The technique is suitable for field-based water quality monitoring with moderate chemical training.
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