Time Resolved Laser-Induced Breakdown Spectrometry For Rapid Alloy Analysis

Radziemski, Leon J.; Millard, John A.; Dalling, Robert H.

doi:10.1117/12.964441

Cited by 2 publications

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“…The method has been applied to many matrixes and samples, although the best results were obtained from solid and hard surface materials, such as metals and alloys. [29][30][31][32] Several new developments of the LIBS method have been extensively studied and reported. [11][12]33,34 The main advantage of the LIBS technique is that, without laborious chemical preparations, it provides direct chemical analysis of solids.…”

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“…The light emitted from the plasma at a certain time delay after the laser shot is spectrally analyzed. Detailed investigations of the various processes involved in this method have already been carried out. − The method has been applied to many matrixes and samples, although the best results were obtained from solid and hard surface materials, such as metals and alloys. − Several new developments of the LIBS method have been extensively studied and reported. −,, …”

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Absolute Analysis of Particulate Materials by Laser-Induced Breakdown Spectroscopy

et al. 1997

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We have developed a new data acquisition approach followed by a suitable data analysis for Laser-induced breakdown spectroscopy. It provides absolute concentrations of elements in particulate materials (e.g., industrial dusts and soils). In contrast to the known calibration procedures (based on the ratio of spectral lines), which are applicable only when one component is constant, this approach requires no constant constituent and results in absolute (rather than relative) concentrations. Thus, the major drawback of this analytical method, namely, the signals' instability (especially when particulate materials are concerned) is partially solved. Unlike the commonly used integrated data acquisition, we use a sequence of signals from single breakdown events. We compensate for pulse to pulse fluctuations in an intrinsic way, and the final results do not depend on the presence of any constant component. Extended linear calibration curves are obtained, and limits of detection are improved by 1 order of magnitude relative to previous methods applied to the same samples (e.g., detection limit of 10(-12) g of Zn in aerosol samples). The proposed compensation for pulse variations is based on the assumption that they can be described as a multiplicative effect for both the spectral peaks and a component of the baseline. In other words, we assume that the same fluctuation pattern observed in the spectral peaks is present in the baseline as well. This assumption is shown to hold and is utilized in the proposed method. In addition, a proper data-filtering process, which eliminates ill-conditioned spectra, is shown to partially compensate for problems due to the nature of analysis of particulate materials.

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