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Advances of Optical Rotation Detection
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2024-09-11 18:03 710阅读次数
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Advances of Optical Rotation Detection
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Advances of Optical Rotation Detection
Advances of Optical Rotation Detection[详细]
2024-09-11 18:03
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Detection of adulteration in camellia seed oilses
Anelectronicnosewasusedforthedetectionofmaizeoiladulterationincamelliaseedoilandsesameoil.Theresultsofmultivariateanalysisofvarianceshowedthatthesensorsignalsofdifferentkindsofoilaresignificantlydifferentfromeachother.Prin-cipalcomponentanalysisPCAcannotbeusedtodiscriminatetheadulterationofcamelliaseedoil,butcanbeusedinthediscriminationofadulterationinsesameoil.LineardiscriminantanalysisLDAismoreeffectivethanPCAandcanbeusedinadulterationdiscriminationforbothcamelliaseedoilandsesameoil.InordertocheckthediscriminativepowerofLDA,canonicaldiscriminantanalysiswasperformedaswell.Acceptableresultswerealsoobtained:Theaccuracyofpredictionwas83.6%forcamelliaseedoiland94.5%forsesameoil.TheartificialneuralnetworkANNmodelwasusedtodetectthepercentageofadulterationincamelliaseedoilandsesameoil.Theresultsshowedthat,basedonANNasitspatternrecognitiontechnique,theelec-tronicnosecannotpredictthepercentageofadulterationincamelliaseedoil,butcanbeusedinthequantitativedeterminationofadulterationinsesameoil.[详细]
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Electronic nosedata analysis for detection of mai
an!°electronicnose!±hasbeenusedforthedetectionofadulterationsofsesameoil.thesystem,comprising10metaloxidesemiconductsensors,wasusedtogenerateapatternofthevolatilecompoundspresentinthesamples.priortodifferentsupervisedpatternrecognitiontreatments,featureextractiontechniqueswereemployedtochooseasetofoptimaldiscriminantvariables.principalcomponentanalysispca,fisherlineartransformationflt,stepwiselineardiscriminantanalysisstep-lda,se-lectionbyfisherweightssfwwereused,respectively.andthen,lineardiscriminantanalysislda,probabilisticneuralnetworkspnn,backpropagationneuralnetworksbpnnandgeneralregressionneuralnetworkgrnnwereappliedaspatternrecognitiontechniquesfortheelectronicnose.asforldaandpnn,fltwasthemosteffectivefeatureextractionmethod,whilestep-ldawasthemosteffectivewayforbpnnandfltwasmoresuitableforgrnn.withonlyonesamplemisclassi?edinourexperiment,ldaismorepowerfulthanpnn.excellentresultswereobtainedinthepredictionofpercentageofadulterationinsesameoilbybpnnandgrnn.aftertrainingforsometime,bpnncouldpredicttheadulterationquantitativelymorepreciselythangrnn,whereaswithfltasitsfeatureextractionmethodandwithoutiterativetraining,grnncouldalsoyieldratheracceptableresults.?2006elsevierb.v.allrightsreserved.[详细]
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Herbsandmineralsaretheintegralpartsoftraditionalsystemsofmedicineinmanycountries.Herbo-MineralmedicinalpreparationscalledBhasmaareuniquetotheAyurvedicandSiddhasystemsofIndianTraditionalMedicine.Thesepreparationshavebeenusedsincelongandareclaimedtobetheveryeffectiveandpotentdosageform.However,thereisdearthofscientificanalyticalstudiescarriedoutontheseproducts,andeventheexistingonessufferfromincompleteanalysis.JasadaBhasmaisauniquepreparationofzincbelongingtothisclass.Thisparticularpreparationhasbeensuccessfullyusedbytraditionalpractitionersforthetreatmentofdiabetesandage-relatedeyediseases.ThisworkpresentsafirstcomprehensivephysicochemicalcharacterizationofJasadaBhasmausingmodernstate-of-the-arttechniquessuchasX-rayphotoelectronspectroscopy(XPS),inductivelycoupledplasma(ICP),elementalanalysiswithenergydispersiveX-rayanalysis(EDAX),dynamiclightscattering(DLS),andtransmissionelectronmicroscopy(TEM).OuranalysisshowsthattheJasadaBhasmaparticlesareinoxygendeficientstateandaclearlyidentifiablefractionofparticlesareinthenanometersizerange.ThesepropertieslikeoxygendeficiencyandnanosizeparticlesinJasadaBhasmamightimpartthetherapeuticpropertyofthisparticulartypeofmedicine.[详细]
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