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Aninvestigationwasmadetoevaluatethecapacityofanelectronicnose(E-nose,PEN2)toclassifytheteaqualitygrade.Fourteagroups(A120,A280,A380andA600)withadifferentqualitygradewereemployed.Intheexperiment,thevolumeofvialandtheheadspacegeneratedtimewereconsideredcorrespondingtothe5gteasamples,andtheoptimumexperimentalprocedurewasdeterminedbyusingthevarianceanalysisANOVA),multivarianceanalysisandprinciplecomponentsanalysis(PCA).Theresultsshowedthatthevolumeofvialaffectedtheresultofdiscrimination,andtheheadspacegeneratedtimehadnosigni?canteffectontheE-noseresponse.ThefourteagroupsweremeasuredandresponsevaluesatfourdifferentcollectiontimeswereconductedbyPCA,lineardiscriminationanalysis(LDA)andarti?cialneuralnetwork(ANN).OnlyA120,A380andA600couldbediscriminatedbyPCA.However,thefourteagroupswerediscriminatedcompletelybyLDA.TheresponsevalueoftheE-noseat60swasoptimumtobeusedfordiscrimination.ThemethodofANN(networktopology20-12-4)wasperformedand90%oftheotalteasampleswereclassi?edcorrectlybyusingtheback-propagationneuralnetwork.?2006ElsevierB.V.Allrightsreserved.
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