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Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
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Breath Analysis Based on Advanced Photoinduced Charge Transfer Resonance-Assisted Strategy for Oxidative Stress

Yichuan Kou1, Jing-Wen Zhou1, Renxian Gao2

  • 1College of Physical Science and Technology, College of Energy, School of Life Sciences, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiang An Biomedicine Laboratory, Department of Emergency, Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China.

Analytical Chemistry
|September 17, 2025
PubMed
Summary

This study introduces a new photoinduced charge transfer (PICT) resonance strategy to boost surface-enhanced Raman scattering (SERS) for detecting oxidative stress biomarkers in breath. This method achieves highly sensitive, noninvasive health monitoring.

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Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering
  • Materials Science

Background:

  • Monitoring oxidative stress is vital for disease prevention and health management.
  • Noninvasive detection methods with high sensitivity are challenging.
  • Surface-enhanced Raman scattering (SERS) offers potential for precision medicine but is limited by insufficient chemical enhancement (CM) in plasmonic materials.

Purpose of the Study:

  • To develop a novel strategy for synergistic enhancement of SERS signals.
  • To improve spectral resolution and detection sensitivity for oxidative stress biomarkers.
  • To create a practical tool for noninvasive health monitoring using breath analysis.

Main Methods:

  • Proposed a photoinduced charge transfer (PICT) resonance-assisted strategy.
  • Utilized excitation wavelength modulation for synergistic enhancement of PICT resonance and electromagnetic enhancement (EM).
  • Integrated the SERS approach with a portable Raman spectrometer for clinical breath sample analysis.

Main Results:

  • Achieved a 100-fold increase in sensitivity for detecting gaseous aldehydes, key oxidative stress biomarkers.
  • Reached an unprecedented detection limit of 60 parts per trillion (ppt) with high specificity for aldehydes.
  • Successfully discriminated oxidative stress levels in breath samples from healthy individuals and patients.

Conclusions:

  • The PICT resonance strategy significantly enhances SERS performance.
  • This approach provides a sensitive and specific method for noninvasive detection of oxidative stress.
  • The developed tool offers practical applications in health monitoring and pathological analysis.