食品科学

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基于可视化抗体宏阵列技术的出血性大肠杆菌O157∶H7定量检测

李浩林1,2,刘 箐2,刘 芳3,董庆利2,邱 实2,杨玉萍2,郭慧琴4,韩舜愈1,*   

  1. 1.甘肃农业大学食品科学与工程学院,甘肃 兰州 730070;2.上海理工大学医疗器械与食品学院,上海 200093;
    3.甘肃出入境检验检疫局,甘肃 兰州 730000;4.上海慧耘生物科技有限公司,上海 200437
  • 出版日期:2014-10-25 发布日期:2014-11-07
  • 基金资助:

    国家质检总局科技项目(GSCIQ_2010IK220);上海市科委重点支撑项目(13430502400);
    甘肃省科技支撑计划项目(1304FKCA056)

Quantitative Detection of Escherichia coli O157:H7 Based on Visual Antibody Macroarray Technology

LI Hao-lin1,2, LIU Qing2, LIU Fang3, DONG Qing-li2, QIU Shi2, YANG Yu-ping2, GUO Hui-qing4, HAN Shun-yu1,*   

  1. 1. College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China;
    2. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    3. Gansu Entry-Exit Inspection and Quarantine Bureau, Lanzhou 730000, China;
    4. Shanghai Prajan Bioiogy Technology Company, Shanghai 200437, China
  • Online:2014-10-25 Published:2014-11-07

摘要:

目的:探索建立一种新的出血性大肠杆菌O157∶H7(Escherichia coli O157∶H7)的快速定量检测技术。方法:以硝酸纤维素膜为基片,用生物芯片点样仪制作抗体宏阵列,采用“双抗夹心”原理,对出血性大肠杆菌O157∶H7进行定量检测研究。结果:本方法对出血性大肠杆菌O157∶H7的检出限为3.4×105 CFU/mL,在105~107CFU/mL细菌浓度范围内,宏阵列的灰度值与细菌浓度之间有较好的线性关系。该方法可在2.5 h内同步检测多个样品中出血性大肠杆菌O157∶H7的浓度。结论:通过用标准菌株、模拟带菌等研究显示,用宏阵列技术快速定量检测出血性大肠杆菌O157∶H7,结果肉眼可见,稳定准确,同时操作简便、成本低廉、无需大型设备,制作好的抗体宏阵列可用于快速评估食品中出血性大肠杆菌O157∶H7的污染状况,尤其适合于基层实验室进行快速高通量样品筛查。

关键词: 出血性大肠杆菌O157∶H7, 抗体宏阵列, 可视化, 定量检测

Abstract:

Purpose: To establish a new rapid quantitative assay for detecting Escherichia coli O157:H7. Methods: Using
nitrocellulose membrane as substrate, an antibody macroarray was fabricated with a biochip spotting robot, and then a
double antibody sandwich method was developed for quantitative detection of E. coli O157:H7. Results: The limit of
detection (LOD) for E. coli O157:H7 was 3.4 × 105 CFU/mL, and a good linear relationship was observed between grey
value for the macroarray and bacterial concentration in the range of 105–107 CFU/mL. This method could allow simultaneous
determination of different concentrations of E. coli O157:H7 in multiple samples. Conclusions: As evaluated by applying
it to standard strains and simulated enrichment culture, the antibody macroarray-based method could provide stable and
accurate results visible to naked eyes with simple operation and low costs without the use of large equipment. Moreover, the
antibody macroarray developed in this study could be used to rapidly assess E. coli O157:H7 pollution in food, especially
suitable for rapid screening of samples in grassroots-level laboratories.

Key words: Escherichia coli O157:H7, antibody macroarray, visualization, quantitative determination

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