分析化学2018，Vol.46Issue(4)：493-501,9.DOI:10.11895/j.issn.0253-3820.171055
基于双层酶信号放大及纳米功能界面的微囊藻毒素电化学免疫传感器
Electrochemical Immunosensor for Microcystin-LR Detection Based on Nano-composite Material Immobilization and Enzymatic Amplification
摘要
Abstract
A competitive electrochemical immunosensor based on the nano-composite material immobilization and enzymatic amplification was designed for detection of microcystin-LR. Gold nanoparticles/carboxylated multi-walled carbon nanotubes (AuNPs/c-MWCNTs) composite film, which formed by electrodepositing of AuNPs on the C-MWCNTs modified glassy carbon electrode,was used for the immobilization of the antibody of microcystin-LR (anti-MCLR). Horseradish peroxidase (HRP) was introduced onto the nanocomposite interface by HRP blocked sensing interface and specific capture of antibody with target. It could be employed to catalyze the reduction of H2O2, and to block the possible remaining active sites as well. A competitive immunoreaction between antigen and MCLR-HRP was used for target analysis. In the presence of H2O2and hydroquinone (HQ),MCLR could be indirectly detected with differential pulse voltammetry (DPV) method by determining the reduction current of HQ. Under the optimal conditions, the proposed immunosensor exhibited wide linear ranges in the concentration ranges of 0.1-100.0 μg/L, with a detection limit of 0.038 μg/L (S/N = 3,n=8). The immunosensor showed good specificity, stability and sensitivity. It was used to determine MCLR in real water samples with the recoveries of 72.9%-117.3%.关键词
辣根过氧化物酶/多壁碳纳米管/纳米金/微囊藻毒素/电化学免疫传感器Key words
Horseradish peroxidase/Multi-walled carbon nanotubes/Gold nanoparticles/Microcystin-LR/Electrochemical immunosensor引用本文复制引用
尹艳艳,侯丽,张丽丽,林学滨,吴晓苹..基于双层酶信号放大及纳米功能界面的微囊藻毒素电化学免疫传感器[J].分析化学,2018,46(4):493-501,9.基金项目
本文系国家自然科学基金项目(No.21375019)和教育部创新团队(二期)项目(No.IRT15R11) 资助This work was supported by the National Natural Science Foundation of China(No.21375019) and the Ministry of Education Innovation Team Development Plan (Phase Ⅱ) (No.IRT15R11). （No.21375019）
