One-Shot SERRS Detection of Iron and Acidity in Aqueous Systems
Irene Calderón González1, Robbert Schuett2, Gerwin Chilla2
1Department of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
ACS Applied Materials & Interfaces
|January 14, 2026
Summary
This study introduces a novel optical sensor platform for simultaneous Fe(II) ion detection and pH monitoring in water. The surface-enhanced resonance Raman scattering (SERRS) sensor overcomes pH interference for reliable metal ion analysis.
Area of Science:
- Analytical Chemistry
- Materials Science
- Spectroscopy
Background:
- Optical ion sensing is promising for portable analysis but suffers from pH interference.
- Metal-ligand interactions crucial for sensing are sensitive to pH fluctuations.
- Accurate in situ monitoring of metal ions like Fe(II) is vital for environmental and biological applications.
Purpose of the Study:
- To develop a multiprobe surface-enhanced resonance Raman scattering (SERRS) platform for simultaneous Fe(II) quantification and in situ pH readout.
- To overcome pH-dependent interferences in optical ion sensing.
- To enable robust and reliable metal ion analysis in aqueous media.
Main Methods:
- Fabrication of polystyrene beads coated with silver nanoparticles.
- Functionalization with phenanthroline (Phen) for Fe(II) detection and 4-mercaptobenzoic acid (MBA) for pH sensing.
- Utilizing resonant excitation at 532 nm for SERRS analysis.
Main Results:
- Achieved Fe(II) detection down to 30 ppb with high selectivity.
- Demonstrated simultaneous and independent quantification of Fe(II) and pH.
- The MBA probe effectively decoupled pH effects, preventing false Fe(II) readings at alkaline pH.
Conclusions:
- The developed dual-sensing SERRS platform offers a robust solution to pH interference in optical ion sensing.
- This strategy enables accurate, time-resolved monitoring of metal ions in complex aqueous systems.
- Paves the way for portable, reliable in situ analysis of metal ions in environmental and biological samples.
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