葡萄汁近中红外光谱分析

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1、FoodAnal.Methods(2012)5:381–387DOI10.1007/s12161-011-9249-6VarietalDifferentiationofGrapeJuiceBasedontheAnalysisofNear-andMid-infraredSpectralDataDanielCozzolino&WiesCynkar&NevilShah&PaulSmithReceived:21March2011/Accepted:6May2011/Publishedonline:3June2011#SpringerScience+BusinessMedia,LLC2011F

2、oodAnal.Methods(2012)5:381–387AbstractTheaimofthisstudywastoevaluatetheusefulnessofvisible(VIS),near-infraredreflectance(NIR)andmid-infrared(MIR)spectroscopycombinedwithpatternrecognitionmethodsastoolstodifferentiategrapejuicesamplesfromcommercialAustralianChardonnay(n=121)andRiesling(n=91)vari

3、eties.Principalcomponentanalysis(PCA),partialleastsquaresdiscriminantanalysisandlineardiscriminantanalysis(LDA)wereappliedtoclassifiedgrapejuicesamplesaccordingtovarietybasedonbothNIRandMIRspectrausingfullcross-validation(leave-one-out)asavalidationmethod.Overall,LDAmodelscorrectlyclassify86%an

4、d80%ofthegrapejuicesamplesaccordingtovarietyusingMIRandVIS-NIR,respectively.Theresultsfromthisstudydemonstratedthatspectraldifferencesexistbetweenthejuicesamplesfromdifferentvarietaloriginsandconfirmedthattheinfrared(IR)spectrumcontainsinformationabletodiscriminateamongsamples.Furthermore,analy

5、sisandinterpretationoftheeigenvectorsfromthePCAmodelsdevelopedverifiedthattheIRspectrumofthegrapejuicehasenoughinformationtoallowthepredictionofthevariety.TheseresultsalsosuggestedthatIRspectroscopycoupledwithpatternrecognitionmethodsholdsthenecessaryinforma-tionforasuccessfulclassificationofju

6、icesamplesofdifferentvarieties.KeywordsMIR.NIR.Grapejuice.Variety.DifferentiationIntroductionDuetogrowingconsumerdemandforinformationaboutfoodproducts,foodindustryoperatorsareincreasinglyanxioustoguaranteeproductprovenance.Invariety-basedwineproduction,itisessentialtoguaranteetheauthenticityof

7、thegrapevariety(Rousseletal.2003a,b).Manyanalyticalprocedureshavealreadybeendevelopedtodeterminefoodproductauthenticityincludingisotopicanalysis,thesite-specificnaturalisotopicfractionationstudiedbynuclearmagneticresonance,high-pe