近红外和拉曼光谱法测定蜂蜜掺假-.研究

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1、张欣硕+}：学位论文目录ABSTRACTNearinfraredspectroscopyisefficientforthedetectionofreducingsugarinhoney，whichcostlittletimeandbewithhighaccuracy．Meanwhile，datapretreatmentmethods，suchasMSC，Norrissmooth，firstderivative，secondderivative．areusefultreatmenttoimprovetheaccuracyofthemodel．Thepredictionaccu

2、racyofthemodeliShigherthanthosebuiltbyoverseasresearchers．Thisarticlestudiedthetestmethodsoffructose，glucose，sucroseandmaltosebyNear．infraredspectroscopy．Theresultsshowthat,Kennard—StonemethodiSaneffectivealgorithmtodevisethecalibrationsetandthevalidationset．MonteCarlocrossvalidationwasuse

3、dtoexcludetheoutliers．Thedeterminationcoefficientsofpredictvalueandtherealvaluefructose，glucose，sucroseandmaltoseare0．945，0．927，O．90l，0．610and0．971，0．940，0．949，0．750separatelybeforeandafterexcludedtheoutlier．Itefficientlyimprovedthedatadistributionandtheaccuracyofthemodel．Themodelbuiltwith

4、NearinfraredspectroscopyaftertheWavelettransfoIllliSnosignificantchange．butitiSlesstimeconsuming．whichiS2．76sotherthan3．65sbeforetheWavelettransforill．Thehoneysamplesthatwereusedtobuildmodel，werecollectedfromteensofprovident．thegeographicandpollenofthehoneyhavesomeimpactsonthespectrum．Itis

5、widerimplicatedundercomplexconditions．Toadapttheneedoftheactualdetection，theadulterationsampleswereincludedinthemodel．Byusingthechmometricmethods，theresultspredictedbytheNearinfraredspectroscopyareaccurateandreliable．SoitiSfeasibilitytobuildarapidonlinetestingtechnologyforthequalitycontrol

6、ofhoney．ThecrossvalidationcoefficientofdeterrninationofHⅣ匝andtotalacidwere0．571and0．640separately．ThebestpredictionaccuracyoftheBPneuralnetworkisover90％inallthedifferentwaysofadulterationinhoneysamplesincludingadulteratesucrose，glucoseseparatelyandadulteratesucroseandglucosetogether．Butthe

7、BPneuralnetworkiswithpoorstability，andithadgottotallynI张欣硕I：学位论文目录differentdiscriminateresultsforthesamesetofdata．UsingRBFneuralnetworkinstead，47iterationswaschosen，andsettheMSEaSO．05，theerrorrateofvalidationsetandtestsetwerelowerthanthatofBPneuralnetwork，andt