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Applied Optics

Applied Optics

  • Editor: James C. Wyant
  • Vol. 47, Iss. 31 — Nov. 1, 2008
  • pp: G80–G87

Laser-induced breakdown spectroscopy for the classification of unknown powders

Emily Gibb Snyder, Chase A. Munson, Jennifer L. Gottfried, Frank C. De Lucia, Jr., Brian Gullett, and Andrzej Miziolek

Applied Optics, Vol. 47, Issue 31, pp. G80-G87        doi:10.1364/AO.47.000G80

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  • OCIS Codes:
  • (140.3440) Lasers and laser optics : Laser-induced breakdown
  • (280.3420) Remote sensing and sensors : Laser sensors
  • (300.6365) Spectroscopy : Spectroscopy, laser induced breakdown

Citation
Emily Gibb Snyder, Chase A. Munson, Jennifer L. Gottfried, Frank C. De Lucia, Jr., Brian Gullett, and Andrzej Miziolek, "Laser-induced breakdown spectroscopy for the classification of unknown powders," Appl. Opt. 47, G80-G87 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-31-G80

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Abstract

Laser-induced breakdown spectroscopy (LIBS) was used to discern between two biological agent surrogates (Bacillus atrophaeus and ovalbumin) and potential interferent compounds (mold spores, humic acid, house dust, and Arizona road dust). Multiple linear regression and neural network analysis models were constructed by using B. atrophaeus and ovalbumin spectra, and limits of detection were calculated. Classification of the agent surrogates' LIBS spectra was attempted by using a neural network model. False negative rates of 0% were observed for B. atrophaeus (100 colony forming units) spore spectra with the neural network model used for classification.

© 2008 Optical Society of America

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History
Original Manuscript: March 27, 2008
Manuscript Accepted: June 26, 2008
Revised Manuscript: June 18, 2008
Published: September 4, 2008

References

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Author Affiliations

Chase A. Munson, Jennifer L. Gottfried, Frank C. De Lucia, Jr., Andrzej Miziolek

U.S. Army Research Laboratory

Emily Gibb Snyder

U.S. EPA Office of Research and Development, National Homeland Security Research Center

Brian Gullett

U.S. EPA Office of Research and Development, National Risk Management Research Laboratory

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