Discrimina ion of Storage Time for Pork Using Metal Oxide Semiconductor （MOS）-Type E-Nose

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Aninvestigationwasconductedtoevaluatethecapacityofanelectronicmetaloxidesemiconductor（MOS）-typenose（e-nose）toclassifyporksampleswithdifferentstoragetimes（06d）.Theeffectsoftheheadspace-generationtimeandporksamplemassontheresponseofthee-nosewerestudiedusingmultivariateanalysisofvarianceandonewayanalysisofvariance,respectively.Theresultsshowedthattheporksamplemasshadthemostsignificanteffectonthee-nosesensorresponse,followedbytheheadspacegenerationtime.Theoptimumparameterswere10gofsamplemasswith5minofheadspace-generationtimeina500mLvial.Aftereitherprincipalcomponentanalysisorlineardiscriminantanalysis,theresultsshowedthatthee-nosewiththeoptimumparameterscanaccuratelyclassifytheporksamplesstoredfor06d.Amethodusingabackpropagationneuralnetworkwasalsoperformed,and91.43%ofthepredictionset（with92.86%ofthetrainingset）wasclassifiedcorrectlyusingthismodel.
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