• 专利标题:   Electrochemical immune sensor for detecting beta-adrenergic agonist multi-residues e.g. clenbuterol and salbutamol, has substrate electrode whose surface is formed with modified graphene/chitosan mixture film.
  • 专利号:   CN104280437-A, CN104280437-B
  • 发明人:   CHEN C, SHAO K, WU J, ZHAO B, ZHANG H
  • 专利权人:   UNIV NANJING NORMAL
  • 国际专利分类:   G01N027/30, G01N027/48, G01N033/53
  • 专利详细信息:   CN104280437-A 14 Jan 2015 G01N-027/30 201527 Pages: 14 Chinese
  • 申请详细信息:   CN104280437-A CN10556800 21 Oct 2014
  • 优先权号:   CN10686327, CN10556800

▎ 摘  要

NOVELTY - An electrochemical immune sensor has a substrate electrode whose surface is formed with a modified graphene/chitosan mixture film, and a bovine serum albumin blocking nonspecific active site, where the surface of the film is fixed with beta -adrenergic receptor agonist multicluster antigen chosen from salbutamol multibank antigen-ractopamine-bovine serum albumin or salbutamol-ractopamine-ovalbumin. USE - Electrochemical immune sensor for detecting beta -adrenergic agonist multi-residues such as clenbuterol, salbutamol, ractopamine, mabuterol and tulobuterol (all claimed). DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for electrochemically detecting multi-residue beta -adrenoceptor agonist, which involves preparing electrochemical immune sensors by grinding glassy carbon electrode, polishing and ultrasonic cleaning the electrode, modifying the surface of the electrode using graphene/chitosan mixture, dropping beta -adrenoceptor agonists multibank antigen on the graphene/chitosan modified electrode surface, and forming bovine serum albumin blocking nonspecific active site, preparing a standard solution by preparing a group consisting of blank and different known concentrations of free beta -adrenergic receptor agonists, immersing immunosensor in a standard solution, rinsing the sensor using phosphate buffer solution, carrying out differential pulse voltammetry (DPV) scanning using potassium hexacyanoferrate(III) solution, recording response current, drawing working curve using linear regression equation, preparing sample solution, repeating the process, recording the response current, increasing the value of the current according to response, and recording beta -adrenoceptor agonist content.