Surface-enhanced oxidation and detection

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• Surface-enhanced oxidation and detection of Sunset Y

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• high-temperature oxidation resistance

  high-temperature oxidation resistance[详细]

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• Oxidation Profile Analysis

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• Electrochemical Oxidation of MnMnO Films

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• Anodic oxidation of zirconium in silicate solu

  Anodic oxidation of zirconium in silicate solu[详细]

  2014-08-13 00:00

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• Anodic oxidation of zirconium in silicate solutions

  Herein,astudyofthesurfacemodificationofzirconiumbyanodicoxidationisreported.TheoxidationprocesswascarriedoutinasolutioncontainingK2SiO3andKOH.Theanodizationwasconductedatvoltagesof100,200and400V.Itwasfoundthatthemorphologyofthesurfacedidnotchangeduringtheoxidationofthezirconiumat100and200V.Theapplicationof400Vresultedintheincorporationofsiliconintotheformedoxidelayerandasignificantmodificationofthesurfacemorphology.Theobtainedcoatingsaretypicalofcoatingproducedduringanelectrolyticplasmaoxidationprocessandcontainaconsiderableamountofsilicon.TheanodicoxidationofzirconiumleadstoasignificantimprovementinthecorrosionresistanceofthematerialinthepresenceofRinger’sphysiologicalsolution.[详细]

  2018-08-21 10:00

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• Detection of paracetamol by capillary electrophoresi

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• Better Detection of Insulin Analogues

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• Observing Oxidation Kinetics On an Aluminium Alloy S

  Observing Oxidation Kinetics On an Aluminium Alloy S[详细]

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• High-temperature oxidation of CrN/AlN multilayer coatings

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• Observing Oxidation Kinetics On an Aluminium Alloy S

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• A facile and sensitive chemiluminescence detection o

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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]

  2018-08-16 10:00

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• Advances of Optical Rotation Detection

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• Detection of adulteration in camellia seed oil and s

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• Electronic nose and data analysis for detection of m

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• Quality Control Metrics for LC-MS Feature Detection

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• Detection of adulteration in camellia seed oil and s

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