Discrimination of organic solid materials by LIBS using methods of correlation and normalized coordinates

Lasheras, Roberto; Bello-Gálvez, C.; Rodríguez-Celis, E.M.; Anzano, Jesús

doi:10.1016/j.jhazmat.2011.05.074

Cited by 43 publications

(17 citation statements)

References 29 publications

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“…Some authors have shown that the molecular LIBS signal is dependent on the molecular nature of the sample (Anzano, Casanova, Bermúdez, & Lasheras, 2006;Gregoire, Boudinet, Pelascini, Surma, Detalle, & Holl, 2011). Although there is a loss of molecular information in plasma, the intensities of C, H, N, and O lines and the C/H, C/O, and C/N intensity ratios have provided excellent results for the identification of many samples of organic nature (Lasheras, Bello-Gálvez, Rodríguez-Celis, & Anzano, 2011;Lucena, Doña, Tobaria, & Laserna, 2011;Marcos-Martinez, Ayala, Izquierdo-Hornillos, de Villena, & Caceres, 2011). A wide study on the formation of CN fragments present in the plasma and its correlation with the carbon content of the sample is shown by Baudelet et al (Baudelet, Boueri, Yu, Mao, Piscitelli, Mao, et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)

et al. 2017

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The present work focuses on the development of a fast and cost effective method based on Laser Induced Breakdown Spectroscopy (LIBS) to the quality control, traceability and detection of adulteration in milk. Two adulteration cases have been studied; a qualitative analysis for the discrimination between different milk blends and quantification of melamine in adulterated toddler milk powder. Principal Component Analysis (PCA) and neural networks (NN) have been used to analyze LIBS spectra obtaining a correct classification rate of 98% with a 100% of robustness. For the quantification of melamine, two methodologies have been developed; univariate analysis using CN emission band and multivariate calibration NN model obtaining correlation coefficient (R) values of 0.982 and 0.999 respectively. The results of the use of LIBS technique coupled with chemometric analysis are discussed in terms of its potential use in the food industry to perform the quality control of this dairy product.

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Section: Introductionmentioning

confidence: 99%

Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)

et al. 2017

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“…Indeed, as an eminent elemental analysis technique, LIBS has been also demonstrated to be suitable to reveal molecular structure of organic materials [13][14][15]. The combination of elemental and molecular emissions, especially those of C 2 and CN radicals, offers an ensemble of spectral features to characterize plastics and organic materials in general [16][17][18][19][20][21][22]. More recently a variant of LIBS technique has been introduced and validated to correlate the molecular structure of a polymer to the distribution and evolution of the populations of molecular species, C 2 and CN, in the ablation plume [23].…”

Section: Introductionmentioning

confidence: 99%

Classification of plastic materials by imaging laser-induced ablation plumes

Nègre

Motto-Ros

Pelascini

et al. 2016

Spectrochimica Acta Part B: Atomic Spectroscopy

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“…A high N e implies a small time to dissipate energy to neighboring species and thereby faster decay of energy or the T ex of the plasma. [29][30][31][32]. But in these reports the samples were either pure hydrogen gas or hydrogen rich compounds, which emit strong H α and H β emission lines.…”

Section: ´-mentioning

confidence: 99%

Laser-induced plasma electron number density: Stark broadening method versus the Saha–Boltzmann equation

Sarkar

Singh

2017

Plasma Sci. Technol.

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We report spectroscopic studies on plasma electron number density of laser-induced plasma produced by ns-Nd:YAG laser light pulses on an aluminum sample in air at atmospheric pressure. The effect of different laser energy and the effect of different laser wavelengths were compared. The experimentally observed line profiles of neutral aluminum have been used to extract the excitation temperature using the Boltzmann plot method, whereas the electron number density has been determined from the Stark broadened as well as using the Saha-Boltzmann equation (SBE). Each approach was also carried out by using the Al emission line and Mg emission lines. It was observed that the SBE method generated a little higher electron number density value than the Stark broadening method, but within the experimental uncertainty range. Comparisons of N e determined by the two methods show the presence of a linear relation which is independent of laser energy or laser wavelength. These results show the applicability of the SBE method for N e determination, especially when the system does not have any pure emission lines whose electron impact factor is known. Also use of Mg lines gives superior results than Al lines.

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Discrimination of organic solid materials by LIBS using methods of correlation and normalized coordinates

Cited by 43 publications

References 29 publications

Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)

Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)

Classification of plastic materials by imaging laser-induced ablation plumes

Laser-induced plasma electron number density: Stark broadening method versus the Saha–Boltzmann equation

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