Normalization of laser-induced breakdown spectroscopy spectra using a plastic optical fiber light collector and acoustic sensor device

Abstract

To estimate the acoustic plasma energy in laser-induced breakdown spectroscopy (LIBS) experiments, a light collecting and acoustic sensing device based on a coil of plastic optical fiber (POF) is proposed. The speckle perturbation induced by the plasma acoustic energy was monitored using a CCD camera placed at the end of a coil of multimode POF and processed with an intraimage contrast ratio method. The results were successfully verified with the acoustic energy measured by a reference microphone. The proposed device is useful for normalizing LIBS spectra, enabling a better estimation of the sample's chemical composition.

Calibration Methods of Laser-Induced Breakdown Spectroscopy

“…Wang et al presented three spectrum standardized methods in order to improve the reproducibility of LIBS measurements which are named the spectrum standardization approach [30], the sampled spectrum standardization approach [31] and the multivariate spectrum standardization method, respectively. In spectral standardization, a particular example is the use of acoustic signals [32,33] or laser-induced plasma image [34].…”

High spectral stability and quantitative accuracy of LIBS by optimization of a combined atomic and ionic line algorithm

“…Yu et al reduced the spectral fluctuations using a gas mixture of helium (He), neon (Ne), and argon (Ar) as the surrounding ambiance. 14 The second one is to use assisted signals such as the speckle pattern, 15 acoustic signal, 16 and plasma images. 17,18 The third one is to correct spectral signals directly with algorithms.…”

Consistency of intensity ratio between spectral lines with similar self-absorption characteristics during ungated laser induced breakdown spectroscopy measurements

“…It has been shown that the accuracy and consistency of LIBS measurement can be improved by adopting chemometrics techniques such as principal component analysis, partial least square, artificial neural network or support vector machine [14]. However, due to the complexity of these advanced chemometrics methods, normalization by the whole/partial spectral areas [15], acoustic wave [16], background emission [17], or internal standards [18] is more frequently used as an approach to improve the consistency in LIBS analysis. In our previous study [19], we reported that the intensity ratio of spectral lines of two different elements (e.g.…”