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Discerning of swill-cooked dirty oil by terahertz technology and statistical method
  
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KeyWord:swill-cooked dirty oil  terahertz  cluster analysis  probabilistic neural network
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Author NameAffiliation
ZHAN Honglei  
BAO Rima  
GE Lina，etc  
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Abstract:
      Cluster analysis (CA) was used to analyze edible oil and swill-cooked dirty oil based on the terahertz absorption spectra at 0.16-1.30 THz. Eight kinds of swill-cooked dirty oils were clusterd together and edible oil was separated. Two kinds of swill-cooked dirty oils were selected randomly from nine samples as validation samples, and the rest samples were analyzed by CA. Based on the built CA model, probabilistic neural network (PNN) was adopted to recognize the validation samples, and swill-cooked dirty oils were accurately discerned. It was demonstrated that terahertz technology combined with statistical methods could be extended to become a fast and effective way to discern swill-cooked dirty oil.
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