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当前位置: 首页 > 文章 > 基于SnO_2纳米花气体传感器快速检测牛奶中的单增李斯特菌 食品科学 2017 (16) 228-233
Position: Home > Articles > Rapid Detection of Listeria monocytogenes in Milk Base on SnO_2 Nanoflower Gas Sensor FOOD SCIENCE 2017 (16) 228-233

基于SnO_2纳米花气体传感器快速检测牛奶中的单增李斯特菌

作  者：
刘红平;朱永恒;刘海泉;马欧妹;赵勇
单  位：
上海海洋大学食品学院;上海水产品加工及贮藏工程技术研究中心农业部水产品贮藏保鲜质量安全风险评估实验室(上海)
关键词：
单增李斯特菌;3-羟基-2-丁酮;水热法;气敏性能;纳米花;灵敏度
摘  要：
以单增李斯特菌特征性代谢物3-羟基-2-丁酮为检测靶点,水热法合成与之匹配的敏感材料,制备出单增李斯特菌特异检测半导体气体传感器。采用X射线衍射和透射电子显微镜手段对材料的结构和形貌进行表征。并分析传感器对3-羟基-2-丁酮标准气体的气敏性能及其在牛奶中单增李斯特菌的检测效果。结果表明,本研究合成的SnO_2材料为纳米花结构。制备出的单增李斯特菌特异检测半导体气体传感器对3-羟基-2-丁酮灵敏度高、响应恢复时间短、选择性和稳定性好。用于检测单增李斯特菌时,传感器的灵敏度与细菌浓度呈现出良好的线性关系,线性方程为lg(S-1)=0.198 3lg C-0.472 5(R~2=0.990 1)。本方法快速灵敏、操作简便,可用于食品中单增李斯特菌的快速检测。
译  名：
Rapid Detection of Listeria monocytogenes in Milk Base on SnO_2 Nanoflower Gas Sensor
作  者：
LIU Hongping;ZHU Yongheng;LIU Haiquan;MA Oumei;ZHAO Yong;College of Food Science and Technology,Shanghai Ocean University;Laboratory of Quality and Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai),Ministry of Agriculture,Shanghai Aquatic and Storage Engineering Technology Research Center;
关键词：
Listeria monocytogenes;;3-hydroxy-2-butanone;;hydrothermal method;;gas-sensing performance;;nanoflower;;response
摘  要：
The aim of this study was to develop a semiconductor gas sensor for the rapid and sensitive detection of L. monocytogenes by targeting 3-hydroxy-2-butanone, the characteristic metabolite of L. monocytogenes. The sensitive material that matches 3-hydroxy-2-butanone was synthesized by a hydrothermal method and used to fabricate the sensor. The structure and morphology of the material were characterized by X-ray diffraction(XRD) and transmission electron microscopy(TEM). The response of the as-prepared sensor to 3-hydroxy-2-butanone calibration gases and its performance for the detection of L. monocytogenes in milk were analyzed. The results indicated that the sensor exhibited high response, quick response-recovery kinetics, and good repeatability to 3-hydroxy-2-butanone. Furthermore, the response showed a good linear relationship with the concentration of L. monocytogenes, and the linear regression equation was lg(S-1)=0.198 3lg C-0.472 5(R~2 = 0.990 1). This method could be completed within a short time without extensive sample preparation. Accordingly, it has a great potential as a rapid method for the detection of L. monocytogenes in food samples.

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