基于上转发光免疫层析技术的常见食源性致病菌快速检测方法研究与评价
发布时间：2018-12-06 17:55
【摘要】：目的研制针对4种常见食源性致病菌:甲型副伤寒沙门菌(Salmonella paratyphi A)、乙型副伤寒沙门菌(Salmonella paratyphi B)、大肠埃希菌O157∶H7(Escherichia coli O157∶H7)、副溶血弧菌(Vibrio parahaemolyticus)的基于上转发光免疫层析技术(UPT-LF)的快速定量检测试纸,并对其检测性能进行评价。方法以上转发光纳米颗粒(UCP-NPs)作为示踪物,基于双抗体夹心检测模型,研制针对上述4种靶标菌的UPT-LF试纸;以4种靶标菌的系列浓度标准菌悬液作为标准样品,评价试纸的敏感性、特异性、线性和精密性,并进行模拟染菌食品的检测,评价模拟样品阳性检出率。结果针对4种靶标菌的UPT-LF试纸均具有良好的线性,相关系数r为0.985~0.996;检测敏感性达105~106CFU/ml,与其他近缘菌株无交叉反应;对乳制品、饮料、小食品、水产、肉类等细菌污染的食品检出率较高。结论该研究建立的对4种常见食源性致病菌进行快速检测的UPT-LF,简便快速,具有良好的敏感性、特异性和线性定量能力,操作性能可满足食品安全检测的要求。
[Abstract]:Objective to develop four kinds of common foodborne pathogenic bacteria: Salmonella paratyphi A (Salmonella paratyphi A), Salmonella paratyphi B (Salmonella paratyphi B), Escherichia coli (O157:H7 (Escherichia coli O157:H7). Rapid quantitative detection of Vibrio parahaemolyticus (Vibrio parahaemolyticus) based on up-conversion luminescence immunochromatography (UPT-LF) was carried out and its detection performance was evaluated. Methods the above forwarded light nanoparticles (UCP-NPs) were used as tracers. Based on the double antibody sandwich detection model, the UPT-LF test paper for the above four target bacteria was prepared. The sensitivity, specificity, linearity and precision of the test paper were evaluated by using the suspension of four kinds of target bacteria as the standard sample, and the positive rate of the simulated sample was evaluated. Results the UPT-LF test paper for the four target bacteria had a good linearity with a correlation coefficient of 0.996, a sensitivity of 105 ~ 106CFU / ml, and no cross reaction with other close strains. For dairy products, beverages, small foods, aquatic products, meat and other bacterial contamination of food detection rate is higher. Conclusion the UPT-LF, developed in this study for the rapid detection of four common foodborne pathogenic bacteria is simple and rapid, has good sensitivity, specificity and linear quantitative ability, and the operational performance can meet the requirements of food safety detection.
【作者单位】： 解放军总医院临床检验科;军事医学科学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;海军总医院内分泌科;重庆医科大学公共卫生与管理学院;
【基金】：国家863计划资助项目(2013AA032205) 国家科技重大专项资助项目(2011ZX10004-001,2012ZX10004801-002-004,2012ZX10004801-004-015) 北京市科委2014年度科技创新基地培育与发展工程专项资助项目(Z141107004414026) 国家自然科学基金资助项目(81000774) 北京市科技新星资助项目
【分类号】：R155.5
[Abstract]:Objective to develop four kinds of common foodborne pathogenic bacteria: Salmonella paratyphi A (Salmonella paratyphi A), Salmonella paratyphi B (Salmonella paratyphi B), Escherichia coli (O157:H7 (Escherichia coli O157:H7). Rapid quantitative detection of Vibrio parahaemolyticus (Vibrio parahaemolyticus) based on up-conversion luminescence immunochromatography (UPT-LF) was carried out and its detection performance was evaluated. Methods the above forwarded light nanoparticles (UCP-NPs) were used as tracers. Based on the double antibody sandwich detection model, the UPT-LF test paper for the above four target bacteria was prepared. The sensitivity, specificity, linearity and precision of the test paper were evaluated by using the suspension of four kinds of target bacteria as the standard sample, and the positive rate of the simulated sample was evaluated. Results the UPT-LF test paper for the four target bacteria had a good linearity with a correlation coefficient of 0.996, a sensitivity of 105 ~ 106CFU / ml, and no cross reaction with other close strains. For dairy products, beverages, small foods, aquatic products, meat and other bacterial contamination of food detection rate is higher. Conclusion the UPT-LF, developed in this study for the rapid detection of four common foodborne pathogenic bacteria is simple and rapid, has good sensitivity, specificity and linear quantitative ability, and the operational performance can meet the requirements of food safety detection.
【作者单位】： 解放军总医院临床检验科;军事医学科学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;海军总医院内分泌科;重庆医科大学公共卫生与管理学院;
【基金】：国家863计划资助项目(2013AA032205) 国家科技重大专项资助项目(2011ZX10004-001,2012ZX10004801-002-004,2012ZX10004801-004-015) 北京市科委2014年度科技创新基地培育与发展工程专项资助项目(Z141107004414026) 国家自然科学基金资助项目(81000774) 北京市科技新星资助项目
【分类号】：R155.5
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