2005
DOI: 10.1016/j.sab.2005.05.017
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Investigation of statistics strategies for improving the discriminating power of laser-induced breakdown spectroscopy for chemical and biological warfare agent simulants

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Cited by 128 publications
(73 citation statements)
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“…Munson et al 339 investigated the efficiency of sample identification using LIBS coupled with various statistical techniques, such as linear correlation, PCA and SIMCA. The influence of data selection, sample averaging, spectral weighting, LIBS laser power and the sample matrix on the ability of these statistical models to perform species differentiation was studied.…”
Section: Chemometrics Applicationsmentioning
confidence: 99%
“…Munson et al 339 investigated the efficiency of sample identification using LIBS coupled with various statistical techniques, such as linear correlation, PCA and SIMCA. The influence of data selection, sample averaging, spectral weighting, LIBS laser power and the sample matrix on the ability of these statistical models to perform species differentiation was studied.…”
Section: Chemometrics Applicationsmentioning
confidence: 99%
“…The use of computerized chemometric techniques like DFA, principal component analysis, or principal least squares-discriminant analysis has greatly increased the selectivity of the LIBS technique and reduced the time required to make identifications of unknown targets based on their LIBS spectra [29][30][31][32][33][34]. DFA is a statistical technique used for classifying a set of observations into mutually exclusive groups on the basis of a set of independent variables (predictors).…”
Section: E Data Analysismentioning
confidence: 99%
“…ARL has used LIBS for the detection of Halon alternative agents (19,20), tested a field-portable LIBS system for the detection of lead in soil and paint (10), studied the spectral emission of aluminum and aluminum oxide from bulk aluminum in different bath gases (21), performed kinetic modeling of LIBS plumes (22)(23)(24)(25), and demonstrated the detection and discrimination of geological materials (18,(26)(27)(28)(29)(30)(31), plastic landmines (32,33), explosives (34)(35)(36)(37)(38)(39)(40)(41)(42), and chemical and biological warfare agent surrogates (43)(44)(45)(46)(47). ARL has also published a number of reviews on LIBS (8,(48)(49)(50)(51)(52).…”
Section: Background/expertisementioning
confidence: 99%
“…With recent advances in broadband spectrometers and chemometric analysis techniques, the identification of non-metals has become increasingly widespread with LIBS. LIBS has been used for the identification of polymers (43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57), thermoplasts (58)(59)(60), and other organic compounds (61,62), including explosives (34)(35)(36)(37)(38)(39)(40)(41)(42)(63)(64)(65). Figure 4 shows the LIBS spectra of various thermoplastic polymers from McMaster-Carr acquired with a commercial LIBS system (Applied Photonics, Ltd).…”
Section: Identification Of Materialsmentioning
confidence: 99%