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Analysis and Classification of Liquid Samples Using Spatial Heterodyne Raman Spectroscopy
Ardian B Gojani1, Dávid J Palásti2,3, Andrea Paul1
1Federal Institute for Material Research and Testing (BAM), Berlin, Germany.
Applied Spectroscopy
|July 5, 2019
Summary
Spatial heterodyne spectroscopy (SHS) enables quantitative analysis of liquid samples. This technique accurately determines concentrations and classifies industrial oils using Raman spectra.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Optical Physics
Background:
- Spatial Heterodyne Spectroscopy (SHS) offers a unique approach to spectral analysis.
- Traditional methods often involve moving parts, limiting speed and robustness.
Purpose of the Study:
- To demonstrate the application of SHS for quantitative analysis of liquid samples.
- To showcase the classification capabilities of SHS for industrial oils.
Main Methods:
- Developed a SHS instrument with a resolving power of 5000 and spectral range of 522-593 nm.
- Utilized a high-frequency diode-pumped solid-state laser for Raman spectra excitation and a microscope-based collection system.
- Employed univariate and multivariate calibration strategies for quantitative analysis and principal component analysis for oil classification.
Main Results:
- Achieved detection limits of 0.5 mass% for cyclohexane in isopropanol and glycerol in water.
- Successfully classified various industrial oils (biodiesel, poly(1-decene), gasoline, heavy oil IFO380, polybutenes, lubricant) based on Raman-fluorescence spectra.
- Demonstrated distinct, non-overlapping patterns for each oil type in principal component space.
Conclusions:
- SHS is a powerful tool for quantitative chemical analysis of liquids.
- SHS facilitates effective classification of complex industrial oil mixtures.
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