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Published on: September 23, 2013
Elemental misinterpretation in automated analysis of LIBS spectra
Waldemar Hübert1, Georg Ankerhold
1RheinAhrCampus Remagen, University of Applied Sciences Koblenz, Remagen, Germany.
The Stark effect causes errors in automated laser-induced breakdown spectroscopy (LIBS) elemental analysis by shifting spectral lines. This study demonstrates how these shifts lead to misidentification, proposing solutions for more accurate LIBS software.
Area of Science:
- Atomic Spectroscopy
- Plasma Physics
- Analytical Chemistry
Background:
- Automated laser-induced breakdown spectroscopy (LIBS) software can misallocate elements due to spectral interferences.
- The Stark effect, causing spectral line broadening and shifting, is a primary cause of these misallocations.
Purpose of the Study:
- To investigate the role of the Stark effect in elemental misidentification within automated LIBS analysis.
- To propose methods for improving the accuracy of LIBS spectral analysis software.
Main Methods:
- Generated micro-plasma using a pulsed Nd/YAG laser on aluminum and brass targets in atmospheric air.
- Measured the temporal evolution of the Al(II) ion line at 281.6 nm during plasma decay.
- Analyzed spectral line shifts and broadening caused by the Stark effect.
Main Results:
- Observed a red-shift of up to 130 pm (490 GHz) in the Al(II) line center due to the Stark effect, dependent on laser power.
- Demonstrated that shifted spectral positions coincide with lines of other elements, leading to potential misinterpretation.
- Showed that time-resolving software analysis is susceptible to elemental misidentification.
Conclusions:
- The Stark effect significantly impacts automated LIBS accuracy by causing spectral line shifts and broadening.
- Recommends using larger gate delays, incorporating Stark broadening parameters, and non-symmetric tolerance ranges in LIBS software.
- These adjustments can enhance the reliability of automated LIBS analysis, reducing misidentification and increasing industrial applicability.
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