Identification and discrimination of Pseudomonas aeruginosa bacteria grown in blood and bile by laser-induced breakdown spectroscopy

Rehse, Steven J.; Diedrich, Jonathan D.; Palchaudhuri, Sunil

doi:10.1016/j.sab.2007.07.008

Cited by 74 publications

(45 citation statements)

References 17 publications

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“…LIBS spectra were collected and were analyzed with a discriminant function analysis (DFA) as described in our previous work [28]. 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].…”

Section: E Data Analysismentioning

confidence: 99%

Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: the effect of mixed cultures and sample dilution on bacterial identification

2010

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Rehse, Steven J.; Mohaidat, Q.I.; and Palchaudhuri, S.. (2010). Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: The effect of mixed cultures and sample dilution on bacterial identification. Laser-induced breakdown spectroscopy has been utilized to classify and identify bacterial specimens on the basis of their atomic composition. We have characterized the effect that the presence of a second bacterial species in the ablated specimen had on the identification of the majority species. Specimens with a reduced number of bacterial cells (approximately 2500) were identified with 100% accuracy when compared to undiluted specimens. In addition, a linear dependence of the total spectral power as a function of cell number was determined. Lastly, a high selectivity was obtained for a LIBS-based analysis of nine separate bacterial strains from four genera.

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Section: E Data Analysismentioning

confidence: 99%

Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: the effect of mixed cultures and sample dilution on bacterial identification

2010

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“…Our previous results using a DFA to identify/discriminate LIBS spectra obtained from bacterial samples showed that bacteria can be efficiently discriminated when tested in air or in argon or helium [9][10][11][12]. However, the highly similar nature of the spectra from different strains of a single species could eventually limit the ability to identify samples in a mixed, contaminated, or low concentration sample.…”

Section: Bacteria Resultsmentioning

confidence: 99%

“…All delay times were determined experimentally to yield optimal signal-to-noise for the specific target and bath gas, while minimizing the broadband background emission. Specifically, the bacterial experimental conditions are the same as those used in all of our previous studies [9][10][11][12].…”

Section: Libs Instrumentationmentioning

confidence: 99%

The effect of sequential dual-gas testing on laser-induced breakdown spectroscopy-based discrimination: Application to brass samples and bacterial strains

Rehse¹,

Mohaidat²

2009

Spectrochimica Acta Part B: Atomic Spectroscopy

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“…[5,19] Briefly, 10 ns 1064 nm infrared laser pulses were used to ablate the bacterial specimens mounted on a 0.7% nutrient-free agar substrate in an argon environment. LIBS emission was collected 2 s after the ablation pulse, dispersed in an Échelle spectrograph, and the spectra were recorded by an intensified charge-coupled device (ESA3000, LLA Instruments, GmbH).…”

Section: Methodsmentioning

confidence: 99%

A comparison of multivariate analysis techniques and variable selection strategies in a laser-induced breakdown spectroscopy bacterial classification

Putnam

Mohaidat

Daabous

et al. 2013

Spectrochimica Acta Part B: Atomic Spectroscopy

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Laser-induced breakdown spectroscopy has been used to obtain spectral fingerprints from live bacterial specimens from thirteen distinct taxonomic bacterial classes representative of five bacterial genera. By taking sums, ratios, and complex ratios of measured atomic emission line intensities three unique sets of independent variables (models) were constructed to determine which choice of independent variables provided optimal genuslevel classification of unknown specimens utilizing a discriminant function analysis. A model composed of 80 independent variables constructed from simple and complex ratios of the measured emission line intensities was found to provide the greatest sensitivity and specificity. This model was then used in a partial least squares discriminant analysis to compare the performance of this multivariate technique with a discriminant function analysis. The partial least squares discriminant analysis possessed a higher true positive rate, possessed a higher false positive rate, and was more effective at distinguishing *Revised Manuscript Click here to view linked References 2 between highly similar spectra from closely related bacterial genera. This suggests it may be the preferred multivariate technique in future species-level or strain-level classifications.

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Identification and discrimination of Pseudomonas aeruginosa bacteria grown in blood and bile by laser-induced breakdown spectroscopy

Cited by 74 publications

References 17 publications

Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: the effect of mixed cultures and sample dilution on bacterial identification

Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: the effect of mixed cultures and sample dilution on bacterial identification

The effect of sequential dual-gas testing on laser-induced breakdown spectroscopy-based discrimination: Application to brass samples and bacterial strains

A comparison of multivariate analysis techniques and variable selection strategies in a laser-induced breakdown spectroscopy bacterial classification

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