Paper
12 May 2011 Advanced algorithms for the identification of mixtures using condensed-phase FT-IR spectroscopy
Josep Arnó, Greger Andersson, Dustin Levy, Carol Tomczyk, Peng Zou, Eric Zuidema
Author Affiliations +
Abstract
FT-IR spectroscopy is the technology of choice to identify solid and liquid phase unknown samples. Advances in instrument portability have made possible the use of FT-IR spectroscopy in emergency response and military field applications. The samples collected in those harsh environments are rarely pure and typically contain multiple chemical species in water, sand, or inorganic matrices. In such critical applications, it is also desired that in addition to broad chemical identification, the user is warned immediately if the sample contains a threat or target class material (i.e. biological, narcotic, explosive). The next generation HazMatID 360 combines the ruggedized design and functionality of the current HazMatID with advanced mixture analysis algorithms. The advanced FT-IR instrument allows effective chemical assessment of samples that may contain one or more interfering materials like water or dirt. The algorithm was the result of years of cumulative experience based on thousands of real-life spectra sent to our ReachBack spectral analysis service by customers in the field. The HazMatID 360 combines mixture analysis with threat detection and chemical hazard classification capabilities to provide, in record time, crucial information to the user. This paper will provide an overview of the software and algorithm enhancements, in addition to examples of improved performance in mixture identification.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josep Arnó, Greger Andersson, Dustin Levy, Carol Tomczyk, Peng Zou, and Eric Zuidema "Advanced algorithms for the identification of mixtures using condensed-phase FT-IR spectroscopy", Proc. SPIE 8032, Next-Generation Spectroscopic Technologies IV, 80320Z (12 May 2011); https://doi.org/10.1117/12.883886
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Cited by 4 scholarly publications.
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KEYWORDS
Chemical analysis

FT-IR spectroscopy

Proteins

Genetic algorithms

Statistical analysis

Detection and tracking algorithms

Attenuated total reflectance

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