Convex-Cone Classification of Pyrolysis Mass Spectra of Biological Agents

Abstract

This work addressed the classification of biological samples using high-dimensional, time-dependent pyrolysis mass spectra. The data were projected onto a low-dimensional subspace using singular value decomposition. Then, a convex cone was formed on this subspace showing, as its corners, physically meaningful components of the sample. This technique enabled separation of a biological-material signal, largely independent of the absolute amount of sample. The detection of the presence of any biological material could be accomplished based on the convex cone alone, without other reference to the mass spectra. Automated clustering of samples was successfully carried out using a minimal spanning tree. Pyrolysis, Subspaces, Biological material identification, Convexity, Mass spectroscopy, Cones, Multivariate analysis.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1994
Accession Number
ADA284052

Entities

People

  • Agustin I. Ifarraguerri
  • Alice M. Harper
  • Michael L. Mavrovouniotis

Organizations

  • Battelle Memorial Institute

Tags

Communities of Interest

  • Air Platforms
  • Counter WMD

DTIC Thesaurus Topics

  • Algorithms
  • Biological Factors
  • Classification
  • Clustering
  • Data Sets
  • Decomposition
  • Detection
  • Mass Spectra
  • Mass Spectrometry
  • Mass Spectroscopy
  • Materials
  • Polygons
  • Pyrolysis
  • Spectra
  • Spectroscopy
  • Three Dimensional
  • Triangles

Readers

  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Graph Algorithms and Convex Optimization.
  • Nanocomposite Materials Science