《食品工业》2023年第44卷第4期190研究探讨基于电子舌技术的西凤酒类别鉴定及掺假检测研究张思梦#，石颖#，王一迪，张静，雷晓茵陕西学前师范学院生命科学与食品工程学院（西安710000）摘要研究以凤香型白酒的代表“西凤”为研究对象,利用电子舌对11种西凤酒的味觉进行采集,建立西凤酒传感器雷达图。以采集信号为依据,运用多种分析方法对西凤酒进行品牌、档次、年份的鉴定,并对西凤六年进行掺假检测的定性分析。结果表明:采用主成分分析(PCA)贡献率高达98.1186%,可以有效地将11种酒样进行区分;运用主成分分析结合临近算法(PCA-KNN)对西凤酒高价位段子品牌建立分类模型,模型准确率为1。在年份鉴定中,PCA分析方法优于线性判别分析(LDA)。采用PCA-SVM建立的西凤六年掺假检测模型准确率为96.67%。可以看出,电子舌可以用于西凤酒的品种鉴定和真假检验,且在西凤酒质量的检测和管理方面有很大的应用潜力。关键词电子舌;西凤酒;白酒鉴定;定性识别;主成分分析CategoryIdentificationandAdulterationDetectionofFengxiangLiquorBasedonElectronicTongueTechnologyZHANGSimeng#,SHIYing#,WANGYidi,ZHANGJing,LEIXiaoyinDepartmentofLifeScienceandFoodEngineering,ShaanxiPreschoolNormalUniversity(Xi’an710000)AbstractInthisstudy,therepresentativesofFengxiangliquor,“Xifeng”wereusedastheresearchobjects,thetastesensationsof11kindsofXifengliquorwerecollected,andtheradarmapoftheXifengliquorsensorwasestablishedbyusingelectronictongues.Basedonthecollectionofsignals,avarietyofanalysismethodswereusedtoidentifythebrand,pricesegmentandyearofXifengliquor,andthequalitativeanalysisofadulterationdetectionwascarriedoutinthesixthyearsofXifeng.Theresultsshowedthatthecontributionrateofprincipalcomponentanalysis(PCA)wasashighas98.1186%,whichcouldeffectivelydistinguish11winesamples,themaincomponentanalysiscombinedwiththeKNearestNeighbors(PCA-KNN)wasusedtoestablishaclassificationmodelforthehigh-pricedduansub-brandsofXifengwine,andthemodelaccuracywas1.Invintageidentification,thePCAanalysismethodwassuperiortolineardiscriminantanalysis(LDA).Theaccuracyratesofthesix-yearadulterationdetectionmodelsestablishedbyPCA-SVMwere96.67%.Itcouldbeseenthattheelectronictonguecouldbeusedforthevarietyi...
