Effect of self-absorption correction on LIBS measurements by calibration curve and artificial neural network

Rezaei, Fatemeh; Karimi, Parham; Tavassoli, Seyed Hassan

doi:10.1007/s00340-013-5566-3

Cited by 42 publications

(23 citation statements)

References 44 publications

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“…As an example, ANN was reported to present better predictive ability than the univariate regression model [95], but this result was established with only one sample for the external validation. In this case, the number of samples appears to be too low for a complete generalization of the results.…”

Section: Subsets Of Data and Validationmentioning

confidence: 98%

Good practices in LIBS analysis: Review and advices

Haddad

Canioni

Bousquet

2014

Spectrochimica Acta Part B: Atomic Spectroscopy

274

109

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International audienceThis paper presents a review on the analytical results obtained by laser-induced breakdown spectroscopy (LIBS). In the first part, results on identification and classification of samples are presented including the risk of misclas-sification, and in the second part, results on concentration measurement based on calibration are accompanied with significant figures of merit including the concept of accuracy. Both univariate and multivariate approaches are discussed with special emphasis on the methodology, the way of presenting the results and the assessment of the methods. Finally, good practices are proposed for both classification and concentration measurement

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Section: Subsets Of Data and Validationmentioning

confidence: 98%

Good practices in LIBS analysis: Review and advices

Haddad

Canioni

Bousquet

2014

Spectrochimica Acta Part B: Atomic Spectroscopy

274

109

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“…Therefore, self-absorption must be completely corrected for exact quantitative analysis. Different groups corrected this effect by several experimental and theoretical methods [60,61] of duplicating mirror [62], line ratio [63], curve of growth [64][65][66][67][68], calibration free [69,70] and fitting algorithms [71,72] for performing the accurate analysis. For instance, Cristoforetti et al [63,73] estimated the self-absorption coefficient by considering the ratio of different parameters such as spectral peak intensity, line width, as well as integrated intensity of a specific spectral line in the case of experimental condition (with self-absorption) to the case of thin plasma (without self-absorption).…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of aluminum samples in He ambient gas at different pressures in a thick LIBS plasma

Rezaei

Tavassoli

2015

Appl. Phys. B

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radioactive, high temperature, toxic materials) [19][20][21][22][23][24][25], industry [26][27][28][29][30][31], architecture, medical (noninvasive study of human teeth and hair, diagnosis of cancer tissue, DNA analysis) [32][33][34][35][36][37], military and civil security (detection of explosive material and biological weapons) [38][39][40][41][42][43]. Most of these applications are investigated under the condition of earth's atmosphere (i.e., at 760 Torr in air atmosphere) in order to determine the selected material compositions. Nevertheless, interest in LIBS in other ambient gases with various circumstances has been grown because of its practical application. It should be mentioned that nowadays wide applications of gas effects in space exploration (such as utilizing LIBS for investigating specific conditions on Venus and Mars) [4,44,45] are studied. For instance, in scope of gas pressure, the high-pressure environment serves to replicate the conditions of a nuclear reactor or simulate some planet environments [46]. At the opposite, reduced gas pressures or vacuum is applied for determination of isotope ratios [47][48][49], synthesis of nanoparticles and thin films.Different research groups [50][51][52][53][54][55] have investigated the quantitative analysis of plasma parameters and spectral line properties in LIBS technique by considering the influences of gas conditions. For instance, Effenberger et al. [56] have properly presented a review of applications of different gas effects in LIBS experiment. They have comprehensively mentioned the results of various groups about the effects of atmosphere compositions and gas pressures (higher and lower than 760 Torr) on plasma parameters and spectral line characteristics. Dawood et al. [57] have investigated the effects of gas nature and its pressure on temporal distribution of aluminum plasma. They have explained that both plasma temperature and electron density grow with ambient gas pressure. In addition, they have shown that argon provides the highest temperature and plasma density, helium provides the lowest one, and nitrogen produces Abstract In this paper, the influences of He ambient gas on aluminum emissions are investigated by experimental analysis of LIBS spectrum. Plasma is produced by focusing of a Nd:YAG laser pulse at a wavelength of 1064 nm on Al standard samples. In this work, the effects of helium atmosphere at different pressures on the amount of spectral self-absorption are studied. The results are discussed by utilizing two approaches: the curve of growth and calibration curve. It is seen that by increasing the gas pressure, the self-absorption enhances. Also, a new method of applying one standard sample instead of other traditional techniques is introduced for concentration prediction. The presented method would be helpful for the situation in which supplying standard samples is not very easy. Then, the accuracy of this new method can be checked by comparison of concentration prediction of the standard samples with their real concentrations.

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“…Furthermore, the increase of plasma optical thickness at longer delay times is proved for the Al I spectral line at 394.4 nm and is likely because of the plasma plume cooling which induces a growth in the population of the atomic and ionic lower energy levels. By utilizing the above simple equation, Rezaei et al [23] corrected the aluminum intensities and then, they predicted the known concentrations in the standard samples with two calibration curves and artificial neural network (ANN) to compare the accuracies of these methods. They used laser-induced breakdown spectroscopy (LIBS) technique for concentration predictions of six elements: Mn, Si, Cu, Fe, Zn, and Mg in seven Al samples.…”

Section: Simple Theoretical Equationmentioning

confidence: 99%

Optically Thick Laser-Induced Plasmas in Spectroscopic Analysis

Rezaei¹

2016

Plasma Science and Technology - Progress in Physical States and Chemical Reactions

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Studies on the plasma physics has been grown over the past few decades as a major research field. The plasma can be produced by different sources such as acr, spark, electric discharge, laser and so on. The spectral radiation of the plasma which acts as its fingerprint, contains valuable information about plasma features. Characterization of plasmas by spectroscopic measurement is a powerful tool for increasing the knowledge and applications of these kinds of radiation sources. Therefore, the spectral diagnostics methods are proposed which are based on measurement of spectral lines intensity, estimation of continuous and absorption radiation, and as well as determination of shifts and halfwiths of the spectrum [1]. The fundamental characteristic parameters of the plasma, i.e., the number densities of plasma species, electron temperature, and as well as particle transport property at each plasma space can be determined by optical emission spectroscopy and utilizing appropriate methods [2]. For accurate evaluation of plasma parameters, its thickness must be thoroughly considered. Generally, the plasmas can be separated into two categories of thin and thick groups. In thin plasmas, the re-absorption of radiation is negligible. Consequently, in spectroscopic analysis, the non-self-absorbed spectral radiation is evaluated by considering the summation of all spectral emissions along the line of sight. In optically thick plasmas, the radiation trapping happens which leads to the selfabsorption phenomenon in spectroscopic analysis that is explained with details in below section.

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Effect of self-absorption correction on LIBS measurements by calibration curve and artificial neural network

Cited by 42 publications

References 44 publications

Good practices in LIBS analysis: Review and advices

Good practices in LIBS analysis: Review and advices

Quantitative analysis of aluminum samples in He ambient gas at different pressures in a thick LIBS plasma

Optically Thick Laser-Induced Plasmas in Spectroscopic Analysis

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