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Megazyme/Primary Amino Nitrogen Assay Kit (PANOPA) /K-PANOPA/100 assays (manual) / 1000 assays (microplate) / 1100
Megazyme/Primary Amino Nitrogen Assay Kit (PANOPA) /K-PANOPA/100 assays (manual) / 1000 assays (microplate) / 1100
商品编号：
K-PANOPA
品牌：
Megazyme INC
市场价：
¥2904.00
美元价：
1742.40
产品分类：
其它检测试剂盒
公司分类：
Other_kits
联系Q Q：
3392242852
电话号码：
4000-520-616
电子邮箱：
info@ebiomall.com
商品介绍
ThePrimaryAminoNitrogen(PANOPA)AssayKit issuitableforthemeasurementandanalysisofprimaryaminonitrogeningrapejuice/mustandwine.
Suitableformanual,auto-analyserandmicroplateformats.
Grapeandwineanalysis:Oenologiststoexploitadvancedtestkits.
Charnock,S.C.&McCleary,B.V.(2005).RevuedesEnology,117,1-5.
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Itiswithoutdoubtthattestingplaysapivotalrolethroughoutthewholeofthevinificationprocess.ToproducethebestpossIBLequalitywineandtominimiseprocessproblemssuchas“stuck”fermentationortroublesomeinfections,itisnowrecognisedthatifpossibletestingshouldbeginpriortoharvestingofthegrapesandcontinuethroughtobottling.TrADItionalmethodsofwineanalysisareoftenexpensive,timeconsuming,requireeitherelaborateequipmentorspecialistexpertiseandfrequentlylackaccuracy.However,enzymaticbio-analysisenablestheaccuratemeasurementofthevastmajorityofanalytesofinteresttothewinemaker,usingjustonepieceofapparatus,thespectrophotometer(seepreviousissueNo.116foradetailedtechnicalreview).Grapejuiceandwineareamenabletoenzymatictestingasbeingliquidstheyarehomogenous,easytomanipulate,andcangenerallybeanalysedwithoutanysamplepreparation.
Megazyme“advanced”winetestkitsgeneralcharacteristicsandvalidation.
Charnock,S.J.,McCleary,B.V.,Daverede,C.&Gallant,P.(2006).ReveuedesOenologues,120,1-5.
LinktoArticle
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ManyoftheenzymatictestkitsareofficialmethodsofprestigiousorganisationssuchastheAssociationofOfficialAnalyticalChemicals(AOAC)andtheAmericanAssociationofCerealChemists(AACC)inresponsetotheinterestfromoenologists.Megazymedecidedtouseitslonghistoryofenzymaticbio-analysistomakeasignificantcontributiontothewineindustry,bythedevelopmentofarangeofadvancedenzymatictestkits.Thistaskhasnowbeensuccessfullycompletedthroughthestrategicandcomprehensiveprocessofidentifyinglimitationsofexistingenzymaticbio-analysistestkitswheretheyoccurred,andthenusingadvancedtechniques,suchasmolecularBIOLOGy(photo1),torapidlyovercomethem.Noveltestkitshavealsobeendevelopedforanalytesofemerginginteresttotheoenologist,suchasyeastavailablenitrogen(YAN;seepages2-3ofissue117article),orwherepreviouslyenzymesweresimplyeithernotavailable,orweretooexpensivetoemploy,suchasforD-mannitolanalysis.
FermentationofstalkjuicesfromdifferentNigeriansorghumcultivarstoethanol.
Nasidi,M.,Agu,R.,YusufDeeni,Y.&Walker,G.(2013).Bioethanol,1(1),20-27.
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Forimprovedproductionofethanolfromsorghumstalkjuicefermentation,cultivationlocationandcultivartypeareimportantfactorstoconsider.Inthepresentstudy,SSV2andKSV8sorghumcultivarswerecultivatedinKanoandKadunastatesinNigeriathatexhibitnotablydifferentrainprecipitationanddiurnaltemperatures.Thecrudestalkjuices(withoutpre-treatmentornutrientsupplementation)wereextractedfromthesesorghumsamplesandfermentedwithadistiller’sstrainoftheyeast,Saccharomycescerevisiae.SugarconsumptionandalcoholproductionweredeterminedbyHPLCandGC-MS,respectively.WhenitwasgrownintheKadunasite,SSV2wasidentifiedasthehighestyieldingsorghumcultivarfromwhichweextractedthemaximumlevelsofextractablesugars(161.50gl-1)thatyieldedfavourableethanollevelsof80.56gl-1followingfermentation.Ourfindingsshowthatrelativelycolderandwettercultivationsitesarepreferredforsorghumstalkjuicedestinedforbioethanolproduction.
SensorcombinationandchemometricvariableselectionforonlinemonitoringofStreptomycescoelicolorfed-batchcultivations.
Ödman,P.,Johansen,C.L.,Olsson,L.,Gernaey,K.V.&Lantz,A.E.(2010).AppliedMicrobiologyandBiotechnology,86(6),1745-1759.
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Fed-batchcultivationsofStreptomycescoelicolor,producingtheantibioticactinorhodin,weremonitoredonlinebymultiwavelengthfluorescencespectroscopyandoff-gasanalysis.Partialleastsquares(PLS),locallyweightedregression,andmultilinearPLS(N-PLS)modelswerebuiltforpredictionofbiomassandsubstrate(casaminoacids)concentrations,respectively.Theeffectofcombinationoffluorescenceandgasanalyzerdataaswellasofdifferentvariableselectionmethodswasinvestigated.Improvedpredictionmodelswereobtainedbycombinationofdatafromthetwosensorsandbyvariableselectionusingageneticalgorithm,intervalPLS,andtheprincipalvariablesmethod,respectively.Astepwisevariableeliminationmethodwasappliedtothethree-wayfluorescencedata,resultinginsimplerandmoreaccurateN-PLSmodels.Thepredictionmodelswerevalidatedusingleave-one-batch-outcross-validation,andthebestmodelshadrootmeansquareerrorofcross-validationvaluesof1.02gl-1biomassand0.8gl-1totalaminoacids,respectively.Thefluorescencedatawerealsoexploredbyparallelfactoranalysis.Theanalysisrevealedfourspectralprofilespresentinthefluorescencedata,threeofwhichwereidentifiedaspyridoxine,NAD(P)H,andflavinnucleotides,respectively.
Analysisofproteinandtotalusablenitrogeninbeerandwineusingamicrowellninhydrinassay.
Abernathy,D.G.,Spedding,G.&Starcher,B.(2009).JournaloftheInstituteofBrewing,115(2),122-127.
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InthisstudywepresentaninhydrinbasedmicrowellassaythatcanbeutilizedinplaceofthetraditionalKjeldahlmethodforthedeterminationoftheproteincontentofbeerorwine.Inaddition,theassayisidealforthedeterminationoffreeaminoacidsinbeer(FAN),atermunderstoodandusedbybrewers,andyeastassimilablenitrogen(YAN)usedbyenologists.Theassayonlymeasuresalphaaminoacidsandammoniasoothernitrogensourcesarenotdetected,resultingina30%reductionintotalproteinofavarietyofbeerscomparedtotheKjeldahlmethod,whichmeasuresnitrogenfromallsources.Theresultsalsoshowedthatonly25%ofthetotal“protein”inbeerisactuallyderivedfrompeptideslargerthan3,500Kd.AnalysisofbeerorwinewiththemicrowellassayfortotalusablenitrogenwascomparedtothestandardFANandYANmethodsandconditionsweredeterminedformaximalefficiencyandprecision.SuperiorresultswereobtainedwithlowreactionvolumesandastablesodiumacetatebufferedninhydrinreagentatpH5.5.Asanalternative,forusewithcuvettes,areducedvolumeFANassayusingthesamepH5.5sodiumacetatebufferedninhydrinreagentgavecomparableresults.Theassayiseconomical,rapid,accurateandapplicabletolargenumbersofsamples.
Genedeliveryusingdendrimer-entrappedgoldnanoparticlesasnonviralvectors.
Shan,Y.,Luo,T.,Peng,C.,Sheng,R.,Cao,A.,Cao,X.,Shen,M.,Guo,R.,Tomas,H.&Shi,X.(2012).Biomaterials,33(10),3025-3035.
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Developmentofhighlyefficientnonviralgenedeliveryvectorsstillremainsagreatchallenge.Inthisstudy,wereportanewgenedeliveryvectorbasedondendrimer-entrappedgoldnanoparticles(AuDENPs)withsignificantlyhighergenetransfectionefficiencythanthatofdendrimerswithoutAuNPsentrapped.Amine-terminatedgeneration5poly(amidoamine)(PAMAM)dendrimers(G5.NH<>)wereutilizedastemplatestosynthesizeAuNPswithdifferentAuatom/dendrimermolarratios(25:1,50:1,75:1,and100:1,respectively).TheformedAuDENPswereusedtocomplextwodifferentpDNAsencodingluciferase(Luc)andenhancedgreenfluorescentprotein(EGFP),respectivelyforgenetransfectionstudies.TheAuDENPs/pDNApolyplexeswithdifferentN/PratiosandcompositionsofAuDENPswerecharacterizedbygelretardationassay,lightscattering,zetapotentialmeasurements,andatomicforcemicroscopicimaging.WeshowthattheAuDENPscaneffectivelycompactthepDNA,allowingforhighlyefficientgenetransfectionintotheselectedcelllinesasdemonstratedbybothLucassayandfluorescencemicroscopicimagingoftheEGFPexpression.ThetransfectionefficiencyofAuDENPswithAuatom/dendrimermolarratioof25:1wasatleast100timeshigherthanthatofG5.NH2dendrimerswithoutAuNPsentrappedattheN/Pratioof2.5:1.ThehighergenetransfectionefficiencyofAuDENPsisprimarilyduetothefactthattheentrapmentofAuNPshelpspreservethe3-dimensionalsphericalmorphologyofdendrimers,allowingformoreefficientinteractionbetweendendrimersandDNA.WiththelesscytotoxicitythanthatofG5.NH2dendrimersdemonstratedbythiazoylbluetetrazoliumbromideassayandhighergenetransfectionefficiency,itisexpectedthatAuDENPsmaybeusedasanewgenedeliveryvectorforhighlyefficienttransfectionofdifferentgenesforvariousbiomedicalapplications.
Grapecontributiontowinearoma:productionofhexylacetate,octylacetate,andbenzylacetateduringyeastfermentationisdependentuponprecursorsinthemust.
Dennis,E.G.,Keyzers,R.A.,Kalua,C.M.,Maffei,S.M.,Nicholson,E.L.&Boss,P.K.(2012).JournalofAgriculturalandFoodChemistry,60(10),2638-2646.
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Wineisacomplexconsumerproductproducedpredominatelybytheactionofyeastupongrapejuicemusts.Modelmustsystemshaveprovenidealforstudiesoftheeffectsoffermentationconditionsontheproductionofcertainwinevolatiles.Toidentifygrape-derivedprecursorstoacetateesters,modelfermentationsystemsweredevelopedbyspikingprecursorsintomodelmustatdifferentconcentrations.Solid-phasemicroextraction–gaschromatgraphymassspectrometryanalysisofthefermentedwinesshowedthatavarietyofgrape-derivedaliphaticalcoholsandaldehydesareprecursorstoacetateesters.TheC6compoundshexan-1-ol,hexenal,(E)-2-hexen-1-ol,and(E)-2-hexenalareallprecursorstohexylacetate,andoctanolandbenzylalcoholareprecursorstooctylacetateandbenzylacetate,respectively.Inthesecases,thepostfermentationconcentrationofanacetateesterincreasedproportionallywiththeprefermentationconcentrationoftherespectiveprecursorinthemodelmust.Determiningviticulturalorwinemakingmethodstoaltertheprefermentationconcentrationofprecursorcompoundsorchangetheprecursor-to-acetateesterratiowillhaveimplicationsuponthefinalflavorandaromaofwines.
Dendrimer-entrappedgoldnanoparticlesmodifiedwithfolicacidfortargetedgenedeliveryapplications.
Xiao,T.,Hou,W.,Cao,X.,Wen,S.,Shen,M.&Shi,X.(2013).BiomaterialsScience,1(11),1172-1180.
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Wereportanewuseofdendrimer-entrappedgoldnanoparticles(AuDENPs)modifiedwithfolicacid(FA)asanon-viralvectorfortargetedgenedeliveryapplications.Inthisstudy,amine-terminatedgeneration5poly(amidoamine)dendrimersmodifiedwithFAviacovalentconjugationwereusedastemplatestosynthesizegoldnanoparticleswithanAusalt/dendrimermolarratioof25:1.ThesynthesizedFA-modifiedAuDENPs(AuDENPs-FA)wereusedasanon-viralvectorforthedeliveryofplasmidDNA(pDNA)intoamodelcancercellline(HeLacells)overexpressinghigh-affinityFAreceptors(FAR).TheDNAcompactionABIlityoftheformedAuDENPs-FAwassystematicallycharacterizedusingagelretardationassay,zetapotential,anddynamiclightscattering.WeshowthatsimilartotheAuDENPsvectorwithoutFA,theAuDENPs-FAvectorwasabletocompactthepDNAencodingenhancedgreenfluorescentprotein(EGFP)atanN/Pratioof0.5.TransfectionresultsshowthattheAuDENPs-FAvectorenablesmuchhigherluciferaseandEGFPgeneexpressioninHeLacellsoverexpressingFARthantheAuDENPswithoutFA,demonstratingtheroleplayedbyFA-mediatedtargetingforenhancedgenetransfectionintargetcells.WithalowercytotoxicitythanthatoftheAuDENPswithoutFAprovenbyacellviabilityassay,thedevelopedFA-modifiedAuDENPsmaybeusedasapromisingnon-viralvectorforsafeandtargetedgenetherapyapplications.
GrowthandlipidproductionofUmbelopsisisabellinaonasolidsubstrate—MechaNISTicmodelingandvalidation.
Meeuwse,P.,Klok,A.J.,Haemers,S.,Tramper,J.&Rinzema,A.(2012).ProcessBiochemistry,47(8),1228-1242.
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Microbiallipidsareaninterestingfeedstockforbiodiesel.Theirproductionfromagriculturalwastestreamsbyfungicultivatedinsolid-statefermentationmaybeattractive,buttheyieldofthisprocessisstillquitelow.Inthisarticle,amechanisticmodelispresentedthatdescribesgrowth,lipidproductionandlipidturnoverinacultureofUmbelopsisisabellinaonκ-carrageenanplatescontainingthemonomersglucoseandalanineasC-sourceandN-source,respectively,andimprovestheunderstandingofthecomplexsolid-statesystem.Themodelincludesreactionkineticsanddiffusionofglucose,alanineandoxygen.Itisvalidatedempiricallyanddescribesthedifferentphasesofthecultureverywell:exponentialgrowth,lineargrowthbecauseofoxygenlimitation,accumulationoflipidsandcarbohydratesafterlocalN-depletionandturnoveroflipidsafterlocalC-depletion.Extendingthemodelwithanunidentifiedextracellularproductimprovedthefitofthemodeltothedata.Themodelshowsthatoxygenlimitationisextremelyimportantinsolid-stateculturesusingmonomers,andexplainsthedifferenceinproductionratewithsubmergedcultures.However,theresultsalsoshowthatthespecificlipidproductionrateinsolid-stateculturesismuchlowerthaninsubmergedcultures,whichresultsinalowlipidyield.
Sauvignonblancmetabolomics:grapejuicemetabolitesaffectingthedevelopmentofvarietalthiolsandotheraromacompoundsinwines.
Pinu,F.R.,Edwards,P.J.B.,Jouanneau,S.,Kilmartin,P.A.,Gardner,R.C.&Villas-Boas,S.G.(2014).Metabolomics,10(4),556-573.
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Thepathwayforthebiogenesisofvarietalthiols,suchas3-mercaptohexanol(3MH),3-mercaptohexylacetate(3MHA)and4-mercapto-4-methylpentan-2-one(4MMP)inSauvignonblanc(SB)winesisstillanopenquestion.Varietalthioldevelopmentrequiresyeastactivity,butpoorcorrelationhasbeenfoundbetweenthiolsandtheirputativerespectiveprecursors.Thisresearchisthefirstapplicationofmetabolomicstounravelmetabolitesinthegrapejuicethataffecttheproductionofvarietalthiolsinwines.Comprehensivemetaboliteprofilingof63commerciallyharvestedSBjuiceswereperformedbycombininggaschromatography–massspectrometryandnuclearmagneticresonancespectroscopy.Thesejuiceswerefermentedundercontrolledlaboratoryconditionsusingacommercialyeaststrain(EC1118)at15°C.Correlationofthiolconcentrationinthewineswithinitialmetaboliteprofilesidentified24metabolitesthatshowedpositivecorrelation(R>0.3)withboth3MHand3MHA,whileonlyglutaminehadpositivecorrelationwith4MMP.Subsequently,wecarriedoutjuicemanipulationexperimentsbyaddingsubsetsofthese24metabolitesina2011SBgrapejuiceinordertovalidatethehypothesesgeneratedbymetabolomics.ThejuicemanipulationresultsconfirmedmetabolomicshypothesesandrevealedgrapejuicemetabolitesthatsignificantlyimpactonthedevelopmentofthreemajorvarietalthiolsandotheraromacompoundsofSBwines.
Changesinthevolatilecompoundproductionoffermentationsmadefrommustswithincreasinggrapecontent.
Keyzers,R.A.&Boss,P.K.(2009).JournalofAgriculturalandFoodChemistry,58(2),1153-1164.
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Wineisacomplexconsumerproductproducedpredominatelybytheactionofyeastupongrapejuice.Modelmustsystemshaveproventobeidealforstudiesintotheeffectsoffermentationconditionsontheproductionofcertainwinevolatiles.Toclarifythecontributionofgrapejuicetotheproductionofwinevolatiles,wehaveemployedamodelmustsystemspikedwithincreasingamountsofgrapejuice(RieslingorCabernetSauvignon).TheresultingfermentedwineswereanalyzedbySPME-GC-MSandthedataobtainedgroupedusingANOVAandclusteranalysestorevealthosecompoundsthatvariedinconcentrationwithreproducibletrendsrelativetojuiceconcentration.Suchgroupinghighlightsthosecompoundsthataregrape-dependentorforwhichproductionismodulatedbygrapecomposition.Insomecases,increasingtheproportionofgrapejuiceinthefermentationsstimulatedtheproductionofcertainesterstolevelsbetween2-and140-foldhigherthanthoseseeninfermentationsmadewithmodelgrapejuicemediaalone.Theidentificationofthegrapecomponentsresponsiblefortheincreasedproductionofthesewinevolatileswillhaveimplicationsfortheimpactofgrapeproductionandenologyonwineflavorandaroma.
UV-methodforthedeterminationofPrimaryAminoNitrogenin
grapejuice,must,wineandothermaterials
Principle:
(roomtemperature)
(1)Aminonitrogen+N-acetyl-L-cysteine+o-phthaldialdehyde→
isoindolederivative
Kitsize: *100assays(manual)/1000(microplate)
/1100(autoanalyser)* Thenumberofmanualtestsperkitcanbedoubledifallvolumesarehalved.
ThiscanbereadilyaccommodatedusingtheMegaQuantTM Wave
Spectrophotometer(D-MQWAVE).Method: Spectrophotometricat340nm
Reactiontime: ~15min
Detectionlimit: 2.59mgN/L
Applicationexamples:
Grapejuice,must,wineandothermaterials
Methodrecognition: Novelmethod
Advantages
- Simpleformat(absorbancesreadat340nm)
- Verycompetitiveprice(costpertest)
- Allreagentsstablefor>2yearsafterpreparation
- Mega-Calc™softwaretoolisavailablefromourwebsiteforhassle-freerawdataprocessing
- Standardincluded
- Suitableformanual,microplateandauto-analyserformats
品牌介绍
Megazyme品牌产品简介
来源：作者：人气：2149发表时间：2016-05-19 10:59:00【大 中 小】
Megazyme是一家全球性公司，专注于开发和提供用于饮料、谷物、乳制品、食品、饲料、发酵、生物燃料和葡萄酒产业用的分析试剂、酶和检测试剂盒。Megazyme的许多检测试剂盒产品已经为众多官方科学协会（包括AOAC, AACC , RACI, EBC和ICC等），经过严格的审核，批准认证为官方标准方法，确保以准确、可靠、定量和易于使用的测试方法，满足客户的质量诉求。
Megazyme的主要产品线包括：
◆ 检测试剂盒
◆ 酶
◆ 酶底物
◆ 碳水化合物
◆ 化学品/仪器
官网地址：http://www.megazyme.com
检测试剂盒特色产品：
货号
中文品名
用途
K-ACETAF
乙酸[AF法]检测试剂盒
酶法定量分析乙酸最广泛使用的方法
K-ACHDF
可吸收糖/膳食纤维检测试剂盒
酒精沉淀法测定膳食纤维
K-AMIAR
氨快速检测试剂盒
用于包括葡萄汁、葡萄酒以及其它食品饮料样品中氨含量的快速检测分析。
K-AMYL
直链淀粉/支链淀粉检测试剂盒
谷物淀粉和而粉中直链淀粉/支链淀粉比例和含量检测
K-ARAB
阿拉伯聚糖检测试剂盒
果汁浓缩液中阿拉伯聚糖的检测
K-ASNAM
L-天冬酰胺/L-谷氨酰胺和氨快速检测试剂盒
用于食品工业中丙烯酰胺前体、细胞培养基、以及上清液组分中、L-天冬酰胺，谷氨酰胺和氨的检测分析
K-ASPTM
阿斯巴甜检测试剂盒
专业用于测定饮料和食品中阿斯巴甜含量，操作简单
K-BETA3
β-淀粉酶检测试剂盒
适用于麦芽粉中β-淀粉酶的测定
K-BGLU
混合键β-葡聚糖检测试剂盒
测定谷物、荞麦粉、麦汁、啤酒及其它食品中混合键β-葡聚糖(1,3:1,4-β-D-葡聚糖)的含量
K-CERA
α-淀粉酶检测试剂盒
谷物和发酵液（真菌和细菌）中α-淀粉酶的分析测定
K-CITR
柠檬酸检测试剂盒
快速、可靠地检测食品、饮料和其它物料中柠檬酸（柠檬酸盐）含量
K-DLATE
乳酸快速检测试剂盒
快速、特异性检测饮料、肉类、奶制品和其它食品中L-乳酸和D-乳酸(乳酸盐）含量
K-EBHLG
酵母β-葡聚糖酶检测试剂盒
用于测量和分析酵母中1,3:1,6?-β-葡聚糖，也可以检测1,3-葡聚糖
K-ETSULPH
总亚硫酸检测试剂盒
测定葡萄酒、饮料、食品和其他物料中总亚硫酸含量（按二氧化硫计）的一种简单，高效，可靠的酶法检测方法
K-FRGLMQ
D-果糖/D-葡萄糖[MegaQuant法]检测试剂盒
适用于使用megaquant?色度计（505nm下）测定葡萄、葡萄汁和葡萄酒中D-果糖和D-葡萄糖的含量。
K-FRUC
果聚糖检测试剂盒
含有淀粉、蔗糖和其他糖类的植物提取物和食品中果聚糖的含量测定。
K-FRUGL
D-果糖/D-葡萄糖检测试剂盒
对植物和食品中果糖或葡萄糖含量的酶法紫外分光测定。
K-GALM
半乳甘露聚糖检测试剂盒
食品和植物产品中半乳甘露聚糖的含量检测
K-GLUC
D-葡萄糖[GOPOD]检测试剂盒
谷物提取物中D-葡萄糖的含量测定，可以和其它Megazyme检测试剂盒联合使用。
K-GLUHK
D-葡萄糖[HK]检测试剂盒
植物和食品中D-葡萄糖的含量测定，可以和其它Megazyme检测试剂盒联合使用。
K-GLUM
葡甘聚糖检测试剂盒
植物和食品中葡甘聚糖的含量测定。
K-INTDF
总膳食纤维检测试剂盒
总膳食纤维特定检测和分析
K-LACGAR
乳糖/D-半乳糖快速检测试剂盒
用于快速检测食品和植物产品中乳糖、D-半乳糖和L-阿拉伯糖
K-LACSU
乳糖/蔗糖/D-葡萄糖检测试剂盒
混合面粉和其它物料中蔗糖、乳糖和D-葡萄糖的测定
K-LACTUL
乳果糖检测试剂盒
特异性、快速和灵敏测量奶基样品中乳果糖含量
K-MANGL
D-甘露糖/D-果糖/D-葡萄糖检测试剂盒
适合测定植物产品和多糖酸性水解产物中D-甘露糖含量
K-MASUG
麦芽糖/蔗糖/D-葡萄糖检测试剂盒
在植物和食品中麦芽糖，蔗糖和葡萄糖的含量检测
K-PECID
胶质识别检测试剂盒
食品配料中果胶的鉴别
K-PHYT
植酸(总磷)检测试剂盒
食品和饲料样品植酸/总磷含量测量的简便方法。不需要通过阴离子交换色谱对植酸纯化，适合于大量样本分析
K-PYRUV
丙酮酸检测试剂盒
在啤酒、葡萄酒、果汁、食品和体液中丙酮酸分析
K-RAFGA
棉子糖/D-半乳糖检测试剂盒
快速测量植物材料和食品中棉子糖和半乳糖含量
K-RAFGL
棉子糖/蔗糖/D-半乳糖检测试剂盒
分析种子和种子粉中D-葡萄糖、蔗糖、棉子糖、水苏糖和毛蕊花糖含量。通过将棉子糖、水苏糖和毛蕊花糖酶解D-葡萄糖、D-果糖和半乳糖，从而测定葡萄糖含量来确定
K-SDAM
淀粉损伤检测试剂盒
谷物面粉中淀粉损伤的检测和分析
K-SUCGL
蔗糖/D-葡萄糖检测试剂盒
饮料、果汁、蜂蜜和食品中蔗糖和葡萄糖的分析
K-SUFRG
蔗糖/D-果糖/D-葡萄糖检测试剂盒
适用于植物和食品中蔗糖、D-葡萄糖和D-果糖的测定
K-TDFR
总膳食纤维检测试剂盒
总膳食纤维检测
K-TREH
海藻糖检测试剂盒
快速、可靠地检测食品、饮料和其它物料中海藻糖含量
K-URAMR
尿素/氨快速检测试剂盒
适用于水、饮料、乳制品和食品中尿素和氨的快速测定
K-URONIC
D-葡萄糖醛酸/D-半乳糖醛酸检测试剂盒
简单、可靠、精确测定植物提取物、培养基/上清液以及其它物料中六元糖醛酸含量（D-葡萄糖醛酸和D-半乳糖醛酸）
K-XYLOSE
D-木糖检测试剂盒
简单、可靠、精确测定植物提取物、培养基/上清液以及其它物料中D-木糖含量
K-YBGL
Beta葡聚糖[酵母和蘑菇]检测试剂盒
检测酵母和蘑菇制品中1,3:1,6-beta-葡聚糖和α-葡聚糖含量
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