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Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown
Published on: February 14, 2014
Laser-induced breakdown spectroscopy combined with spatial heterodyne spectroscopy
Igor B Gornushkin1, Ben W Smith, Ulrich Panne
1Federal Institute for Materials Research and Testing (BAM), Richard Willstätter Strasse 11, D-12489 Berlin, Germany.
This study introduces laser-induced breakdown spectroscopy (LIBS) combined with a spatial heterodyne spectrometer (SHS) for material analysis. The LIBS-SHS technique shows promise for accurate material classification and quantification in field applications.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Materials Science
Background:
- Laser-induced breakdown spectroscopy (LIBS) is a powerful analytical technique for elemental analysis.
- Traditional LIBS often uses dispersive spectrometers, which can have limitations in throughput and light collection efficiency.
- Spatial heterodyne spectroscopy (SHS) offers high throughput and a compact design, making it suitable for novel applications.
Purpose of the Study:
- To evaluate the performance of a spatial heterodyne spectrometer (SHS) when coupled with laser-induced breakdown spectroscopy (LIBS).
- To investigate the potential of the combined LIBS-SHS technique for material classification and quantitative analysis.
- To assess the feasibility of developing a portable and cost-effective LIBS-SHS instrument for field use.
Main Methods:
- A modified Michelson interferometer, the spatial heterodyne spectrometer (SHS), was integrated with LIBS.
- The SHS features fixed diffraction gratings, eliminating moving parts and enhancing throughput.
- Brass standards with varying copper (Cu) and zinc (Zn) concentrations were analyzed.
- Principal component analysis (PCA) was used for material classification.
- Partial least squares regression (PLS) was employed for quantitative analysis.
Main Results:
- The LIBS-SHS system demonstrated high throughput, approximately 200 times greater than dispersive spectrometers.
- Principal component analysis (PCA) successfully classified brass samples based on their elemental composition and origin.
- Quantitative analysis using partial least squares regression (PLS) achieved good precision (RSD < 10%) and accuracy (within ± 5% of nominal concentrations).
Conclusions:
- The LIBS-SHS technique is a promising advancement for standoff material analysis, especially in low-light conditions.
- The system's ability to classify and quantify materials accurately suggests its potential for field applications.
- Further development could lead to portable, inexpensive, and rugged LIBS-SHS instruments for diverse industrial and environmental monitoring tasks.
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