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资料简介
Anelectronicnosewasusedforthedetectionofmaizeoiladulterationincamelliaseed
oilandsesameoil.Theresultsofm*riateanalysisofvarianceshowedthatthe
sensorsignalsofdifferentkindsofoilaresignificantlydifferentfromeachother.Prin-
cipalcomponentanalysisPCAcannotbeusedtodiscriminatetheadulterationof
camelliaseedoil,butcanbeusedinthediscriminationofadulterationinsesameoil.
LineardiscriminantanalysisLDAismoreeffectivethanPCAandcanbeusedin
adulterationdiscriminationforbothcamelliaseedoilandsesameoil.Inordertocheck
thediscriminativepowerofLDA,canonicaldiscriminantanalysiswasperformedas
well.Acceptableresultswerealsoobtained:Theaccuracyofpredictionwas83.6%for
camelliaseedoiland94.5%forsesameoil.TheartificialneuralnetworkANNmodel
wasusedtodetectthepercentageofadulterationincamelliaseedoilandsesameoil.
Theresultsshowedthat,basedonANNasitspatternrecognitiontechnique,theelec-
tronicnosecannotpredictthepercentageofadulterationincamelliaseedoil,butcan
beusedinthequantitativedeterminationofadulterationinsesameoil.
oilandsesameoil.Theresultsofm*riateanalysisofvarianceshowedthatthe
sensorsignalsofdifferentkindsofoilaresignificantlydifferentfromeachother.Prin-
cipalcomponentanalysisPCAcannotbeusedtodiscriminatetheadulterationof
camelliaseedoil,butcanbeusedinthediscriminationofadulterationinsesameoil.
LineardiscriminantanalysisLDAismoreeffectivethanPCAandcanbeusedin
adulterationdiscriminationforbothcamelliaseedoilandsesameoil.Inordertocheck
thediscriminativepowerofLDA,canonicaldiscriminantanalysiswasperformedas
well.Acceptableresultswerealsoobtained:Theaccuracyofpredictionwas83.6%for
camelliaseedoiland94.5%forsesameoil.TheartificialneuralnetworkANNmodel
wasusedtodetectthepercentageofadulterationincamelliaseedoilandsesameoil.
Theresultsshowedthat,basedonANNasitspatternrecognitiontechnique,theelec-
tronicnosecannotpredictthepercentageofadulterationincamelliaseedoil,butcan
beusedinthequantitativedeterminationofadulterationinsesameoil.
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