All-fiber-coupled laser-induced breakdown spectroscopy sensor for hazardous materials analysis

Bohling, Christian; Hohmann, Konrad; Scheel, Dirk; Bauer, Christoph; Schippers, Wolfgang; Burgmeier, Jörg; Willer, Ulrike; Holl, Gerhard; Schade, Wolfgang

doi:10.1016/j.sab.2007.10.038

Cited by 48 publications

(17 citation statements)

References 32 publications

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“…This study demonstrates the use of laserinduced breakdown spectroscopy (LIBS) [15], a spectroscopic technique to investigate the sources of variability in coating uniformity in tablets and which attempts to establish statistical significance, or lack thereof, of the possible causes. The LIBS technique finds application in a wide variety of areas such as the study of soil composition [16], polymers [17], minerals [18], metallic compounds [19,20], cosmetics [21], gaseous mixtures [22], construction materials [23], hazardous material detection [24], and traditional fuels such as coal [25], fuel cells [26], and biological tissues [27,28]. The pharmaceutical industry is beginning to consider this technique for in-line monitoring and product analysis applications.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pharmaceutical Tablet Coating Uniformity by Laser-Induced Breakdown Spectroscopy (LIBS)

et al. 2011

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A laser-induced breakdown spectroscopy-based analytical methodology is developed to study tablet coating variability in pharmaceutical tablets. The method quantifies the amount of coating on a tablet by assigning an average coating thickness score to it. When tested using samples with different amounts of coating, the coating thickness scores showed direct correlation to the weight gain of the tablet, hence validating the analytical method. The relative significance of the processing parameters and the components of variability were computed using statistical techniques. The sampling frequency of laser shots was found to have no significant effect. The effect of the position of the laser pulse on the tablet surface was found to be significant; however, it was determined that this effect was due to the tablet curvature, which resulted in the laser optical path to intersect the coating diagonally. The variability between batches (lots) manufactured under the same processing conditions was not significant. The largest avoidable source of variability was the tablet-to-tablet component, possibly indicating the inadequate mixing performance of the coating device.

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Section: Introductionmentioning

confidence: 99%

Analysis of Pharmaceutical Tablet Coating Uniformity by Laser-Induced Breakdown Spectroscopy (LIBS)

et al. 2011

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“…The development of software combining chemometric tools with neural networks allowed the classification of pure metals (steel, brass, copper, aluminum), and coated metals (soft drink can, anti-personnel mine type ''Maus''). On this occasion, results were divided in ''correct'', ''false'' and ''not identified'' [40].…”

Section: Chemometricsmentioning

confidence: 99%

LIBS Detection of Explosives in Traces

Moros

Fortes

Vadillo

et al. 2014

Springer Series in Optical Sciences

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Laser-induced breakdown spectroscopy is one of the most exciting topics in the whole field of analytical science. Among the several expanding applications of LIBS, the analysis of explosives is gaining acceptance due to the unique capabilities of LIBS for inspection of distant samples, for recognition of materials behind a barrier or for identification of objects in motion, to name just a few examples. Although LIBS is a technique for elemental analysis, recent insights in the understanding of the chemistry of plasma plumes have boosted the use of LIBS for identification of organic compounds. In this chapter, the uses of LIBS for the detection, sorting and identity assignment of explosives is reviewed. The first section of this contribution is devoted to the fundamentals of explosive responses, with a discussion of the strong and weak points of LIBS for this application. The next section deals with the specific instrumentation used for laboratory and field work, from man-portable units to stand-off systems. A discussion on the several chemometric tools used for identification and sorting of explosives follows. Data fusion strategies for improving the distinction between harmless and explosive compounds are presented. Finally, a conclusions section outlines the current achievements and the future needs in this application.

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“…Hence, very recently, Zhang et al reviewed the use of chemometric methods in qualitative and quantitative analysis by LIBS and in spectral data preprocessing. The data preprocessing methods in LIBS mainly consist of baseline correction, noise filtering, overlapping peak resolution, and data compression . Chemometric techniques have proven efficient for samples identification and classification by LIBS.…”

Section: Introductionmentioning

confidence: 99%

“…To give only a few examples, principal components analysis (PCA) and independent components analysis (ICA) were successfully used for rocks discrimination . Partial least squares–discriminant analysis was extensively developed for security purposes (identification of explosives and chemical or biological warfare agents), as well as neural networks . Soft independent modeling of class analogy was used for the analysis of uranium concentrate and carbonate grains .…”

Section: Introductionmentioning

confidence: 99%

Analysis of time‐resolved laser‐induced breakdown spectra by mean field‐independent components analysis (MFICA) and multivariate curve resolution–alternating least squares (MCR‐ALS)

Rakwe

Rutledge

Moutiers

et al. 2017

Journal of Chemometrics

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Laser‐induced breakdown spectroscopy (LIBS) is an analytical technique allowing the determination of elemental concentrations in a variety of matrices in the solid, liquid, and gaseous phases. Because of the inherent complexity of the signal and to the high dimensionality of experimental data, chemometrics has been more and more applied in LIBS to perform samples identification or quantitative measurements. But multivariate methods can also be used for the description and physical interpretation of the plasma, particularly to exploit the temporal dimension of the LIBS signal, which is usually neglected in spectrochemical measurements. In this work, time‐resolved spectra of a pure aluminum sample were treated with 2 methods, mean field‐independent components analysis and multivariate curve resolution–alternating least squares, applying non‐negativity constraints for scores and components in both cases. Results obtained were compared with reference univariate measurements of the emission of the species of interest (ions, neutral atoms, and molecules). The interpretation of scores and components provided a physical description of phenomena that take place between species in the plasma, like ionic recombination and molecules formation. Overall, mean field‐independent components analysis and multivariate curve resolution–alternating least squares yield equivalent solutions with our dataset. This new approach is very promising for the treatment of time‐resolved data obtained by LIBS.

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All-fiber-coupled laser-induced breakdown spectroscopy sensor for hazardous materials analysis

Cited by 48 publications

References 32 publications

Analysis of Pharmaceutical Tablet Coating Uniformity by Laser-Induced Breakdown Spectroscopy (LIBS)

Analysis of Pharmaceutical Tablet Coating Uniformity by Laser-Induced Breakdown Spectroscopy (LIBS)

LIBS Detection of Explosives in Traces

Analysis of time‐resolved laser‐induced breakdown spectra by mean field‐independent components analysis (MFICA) and multivariate curve resolution–alternating least squares (MCR‐ALS)

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