• Title of article

    Automated Detection of Fecal Contamination of Apples by Multispectral LaserInduced Fluorescence Imaging

  • Author/Authors

    Chen، Yud-Ren نويسنده , , Kim، Moon S. نويسنده , , Lefcourt، Alan M. نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    -3934
  • From page
    3935
  • To page
    0
  • Abstract
    Animal feces are a suspected source of contamination of apples by disease-causing organisms such as Escherichia coli O157. Laser-induced fluorescence was used to detect different amounts of feces from dairy cows, deer, and a dairy pasture applied to Red Delicious apples. One day after application, detection for 1:2 and 1:20 dilutions was nearly 100%, and for 1:200 dilutions ( <15 ng of dry matter) detection was >80%. Detection after apples had been washed and brushed was lowest for pasture feces; detection for 1:2, 1:20, and 1:200 dilutions of feces was 100%, 30%, and 0%, respectively. This technology may encourage development of commercial systems for detecting fecal contamination of apples.
  • Keywords
    Bias , covariance , aliasing , Consistency , Estimation , Doppler , cyclostationary , multipath , harmonizable functions , Spectral density function
  • Journal title
    Applied Optics
  • Serial Year
    2003
  • Journal title
    Applied Optics
  • Record number

    76298