牛奶模拟样本中金黄色葡萄球菌肠毒素C含量的两种发光检测方法比较  

Comparison of two luminescence detection methods for staphylococcal enterotoxin C content in simulated milk samples

在线阅读下载全文

作  者:郑玉玲 王叶 律清宇 ZHENG Yuling;WANG Ye;LYU Qingyu(State Key Laboratory of Pathogen and Biosecurity,Institute of Microbiology and Epidemiology,Academy of Military Medical Sciences,Beijing 100071,China)

机构地区:[1]军事医学研究院微生物流行病研究所病原微生物生物安全国家重点实验室,北京100071

出  处:《细胞与分子免疫学杂志》2023年第12期1089-1093,共5页Chinese Journal of Cellular and Molecular Immunology

基  金:国家科技重大专项(2018ZX10711001,2018ZX10712001)。

摘  要:目的 比较均相光激化学发光检测法(AlphaLISA)和磁微粒化学发光检测法(MP-CLIA)在检测牛奶模拟样本中金黄色葡萄球菌肠毒素C(SEC)含量的敏感性和精确性。方法 以山羊抗SEC多克隆抗体偶联受体微球、生物素标记的SEC单克隆抗体和链霉亲和素偶联的供体微球,构建AlphaLISA检测体系;以山羊抗SEC多克隆抗体偶联碱性磷酸酶、生物素标记的SEC单克隆抗体和链霉亲和素偶联磁珠,构建MP-CLIA检测体系。结果 AlphaLISA检测牛奶模拟样本中SEC含量的灵敏度为4.04 ng/L,变异系数(CV)为1.98%~9.82%;MP-CLIA的灵敏度为108.19 ng/L,CV为4.63%~20.40%。结论 与MP-CLIA相比,AlphaLISA检测牛奶模拟样本中SEC含量的敏感性和精确性更高。Objective To compare the sensitivity and accuracy of amplified luminescent proximity homogeneous assay linked immunosorbent assay(AlphaLISA)and magnetic particles-based chemiluminescence immunoassay(MP-CLIA)for detection of staphylococcal enterotoxin C(SEC)in the simulated milk samples.Methods The AlphaLISA was constructed using goat anti-SEc polyclonal antibody-coupled receptor microspheres,biotin-labeled SEC monoclonal antibody and streptavidin-coupled donor microspheres.The MP-CLIA was constructed using goat anti-SEC polyclonal antibody conjugated alkaline phosphatase,biotin-labeled anti-SEC monoclonal antibody and streptavidin conjugated magnetic beads.Results The sensitivity of AlphaLISA to detect SEC content in simulated milk samples was 4.04 ng/L,and the coefficient of variation(CV)was 1.98%~9.82%.The sensitivity of MP-CLIA was 108.19 ng/L and CV was 4.63%~20.40%.Conclusion Compared with MP-CLIA,AlphaLISA is more sensitive and accurate to detecting SEC.

关 键 词:均相光激化学发光检测法(AlphaLISA) 金黄色葡萄球菌肠毒素C(SEC) 磁微粒化学发光检测法(MP-CLIA) 

分 类 号:Q503[生物学—生物化学] R392.1[医药卫生—免疫学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象