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Constructing a Raman and surface-enhanced Raman scattering spectral reference library for fine-particle analysis.
Hui Chen1, Fengkui Duan2, Kebin He2
1Key Laboratory of Resources and Environmental System Optimization of Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
Journal of Environmental Sciences (China)
|March 20, 2022
Summary
A new spectral library aids in identifying fine particles from haze pollution. This resource helps analyze sulfate-nitrate-ammonium, organic material, and soot, improving air quality research.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Spectroscopy
Background:
- Haze pollution from fine particles poses significant health risks, particularly in China.
- Raman and surface-enhanced Raman scattering (SERS) are valuable for analyzing fine particle composition.
- A comprehensive Raman spectral library for fine particles is currently lacking.
Purpose of the Study:
- To develop a comprehensive reference library of Raman and SERS spectra for common fine particle components.
- To address limitations in SERS analysis caused by substrate and excitation wavelength variability.
- To facilitate accurate identification of fine particle constituents for pollution studies.
Main Methods:
- Conducted SERS experiments using a portable Raman spectrometer with silver (Ag) foil and gold nanoparticles (Au NPs) substrates and a 785 nm laser.
- Analyzed three main particle types: sulfate-nitrate-ammonium (SNA), organic material, and soot, encompassing 39 chemical substances.
- Recorded solid Raman, liquid Raman, and SERS spectra, creating a library of 105 spectra.
Main Results:
- Established a fine-particle reference library with 105 spectra for 39 substances.
- Observed that solid-liquid phase transitions primarily caused spectral differences for soot and SNA.
- Noted minimal substrate effect from Ag foil, while Au NPs induced a significant red shift in polycyclic aromatic hydrocarbon peaks.
Conclusions:
- The constructed spectral library enables rapid and accurate identification of fine particle substances.
- Distinct characteristic peaks across solid Raman, liquid Raman, and SERS spectra aid in substance differentiation.
- This resource is expected to advance the identification of fine particles in air pollution research.
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