欢迎来到天天文库
浏览记录
ID:33953046
大小:3.39 MB
页数:88页
时间:2019-03-02
《食品中甾体激素残留免疫分析技术与方法分析》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、江南人学博I:学位论文pHofsampletestingshouldbeadjustedinthe7.0~8.0region,organicsolventcontentinsamplesshouldbecontrolledat30%orless,theionicstrengthofsamplesshouldbecontrolledinO.1mol/Lbelow.Thedetectionlimitwas5ng/mLfordetectionof19-NTstandardsolution.Throughanacceleratedstabil
2、itytest.wecanpredictthattheteststripCanbestabilizedforatleast5monthsatroomtemperature.1mmol19-NTasthetemplatemolecule.4mmolmethacrylicacidasfunctionalmonomer,lOmmolTRIMascrosslinker,werepreparedfor24hat60℃byprecipitationpolymerizationformolecularlyimprintedpolymermicros
3、pheres(MIPs),whichhasrelativelyuniformparticlesize.Thespecificsurfaceareawas40.2421m2/g,theporesizewasabout20.3rim.Themaximumapparentbindingcapacityof94.882pmol/gto19·NT,theidentifyfactorpvalueswas27.26forthetemplatemoleculewhichshowedthestrongestbindingcapacityandspeci
4、ficityofrecognition.ElutionoftheMIP-SPEconditionswereoptimized,10%methanolwasusedaslotion,methanol/aceticacid(9:1,V/V)selectedaseluent,whenuse4mLeluate,almostalladsorbed19-NTmoleculecanbeelutedoff.Atthe1thuseofMIP·SPE.theaveragerecoveryratecanstillreach85%ormore,theenti
5、reprocessofCVvaluesarelessthan5%.ThelinearequationofMIPcolumnfor19-NTWasY=0.4188X.4.5569.R2=O.9983.byoptimizingtheconditionsofuse.AndMIPhasgoodeffectsofenrichment,whichCanmultiple48timesconcentration.Therefore,19-NT-MIPCanfullymeetthesolid-phaseextractionapplicationrequ
6、irements,SOCanbeprovidesfastandefficientmeansofsamplepre—treatmentforHPLC,ELISA,dipstickcolloidalgolddetectiontechnology.Keywords:19一NT:ELISA;colloidalgold;MIP;residuedetect主要缩略语19.去甲基睾酮(19-NT)牛血清蛋白(BSA)鸡卵清蛋白(OVA)酶联免疫吸附测定(ELISA)硝酸纤维膜(NC)分子印迹.(MIP)同相萃取(SPE)透射电镜(TEM)V目录目录
7、摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯IAbstract⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯III目jj乏⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯.I第一章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11.1酶联免疫检测技术⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯.11.2胶体金免疫层析检测技术⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯.31.3分子印迹检测技术⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯
8、⋯⋯⋯⋯⋯⋯⋯⋯⋯.51.3.1分子印迹的原理⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯51.3.2分子印迹聚合物的识别机理⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯61.3.3分子印迹技术分类⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯
此文档下载收益归作者所有