Use of a Neural Network for the Analysis of Fluorescence Spectra from Mixtures of Polycyclic Aromatic Hydrocarbons

Abstract

The use of a software implemented backpropagation neural network is reported for the qualitative and quantitative analysis of the fluorescence emission spectra from multicomponent mixtures of Polycyclic Aromatic Hydrocarbons (PAHs) in solution. Analysis of two types of data is described. First, a backpropagation network is developed to determine the component concentrations in a ternary mixture of PAHs. The input data provided to the network consists of sampled two dimensional (intensity vs. emission wavelength) fluorescence spectra. A second backpropagation network is investigated for the analysis of three dimensional time resolved fluorescence emission spectra for a binary PAH mixture. Both of the networks are trained to recognize preselected compounds. Each trained network is then used to evaluate unknown emission spectra and to determine the presence and relative concentration of the compounds it has learned to recognize. Results from analysis of two dimensional emission spectra show that the trained network was able to successfully identify the individual components and their concentrations in solutions containing mixtures of anthracene, chrysene and acenapthene. Analysis of three-dimensional time resolved fluorescence emission data showed that individual components could be resolved in mixtures of two spectrally similar compounds (anthracene and chrysene). Although a network could also be trained to recognize anthracene and chrysene in binary mixtures using their two-dimensional emission spectra, use of three dimensional time decay spectra reduced the learning time required to train the network by a factor of three. Fluorescence spectroscopy, CIVAPP: fiber optics

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Document Details

Document Type
Technical Report
Publication Date
Sep 04, 1991
Accession Number
ADA264776

Entities

People

  • J. M. Andrews
  • S. H. Lieberman

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

DTIC Thesaurus Topics

  • Aromatic Hydrocarbons
  • Classification
  • Cyclic Hydrocarbons
  • Detectors
  • Emission Spectra
  • Fiber Optics
  • Fluorescence
  • Hydrocarbons
  • Intensity
  • Learning
  • Neural Networks
  • Optical Fibers
  • Optics
  • Organic Compounds
  • Pattern Recognition
  • Signal Processing
  • Spectroscopy

Readers

  • Molecular Photonics/Laser Physics
  • Neural Network Machine Learning.
  • Organic Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks