多孔硅生物传感器:食品工业中靶细菌的实时光学检测

Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

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中文摘要:本文提出了一个用于识别和定量检测复杂食品工业用水中大肠杆菌(模型指示细菌)的光学生物传感器。该传感器采用纳米和具有大肠杆菌特异性抗体功能的多孔氧化硅薄膜制成,检测过程中将该生物传感器暴露于收集到的鲜切生产加工工业用水中,并实时采集反射光谱。结果显示,加入大肠杆菌培养物的工业用水引起了生物传感器薄膜干扰光谱的鲁棒性和规律性变化。在没有任何预富集或预处理的情况下,该生物传感器能够对数量级低于其他细菌的靶细菌进行特异性的识别和量化。
外文摘要:Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process water. The biosensor is based on a nanostructured, oxidized porous silicon (PSi) thin film which is functionalized with specific antibodies against E. coli. The biosensors were exposed to water samples collected directly from process lines of fresh-cut produce and their reflectivity spectra were collected in real time. Process water were characterized by complex natural micro-flora (microbial load of >10(7) cell/mL), in addition to soil particles and plant cell debris. We show that process water spiked with culture-grown E. coli, induces robust and predictable changes in the thin-film optical interference spectrum of the biosensor. The latter is ascribed to highly specific capture of the target cells onto the biosensor surface, as confirmed by real-time polymerase chain reaction (PCR). The biosensors were capable of selectively identifying and quantifying the target cells, while the target cell concentration is orders of magnitude lower than that of other bacterial species, without any pre-enrichment or prior processing steps.
外文关键词:FOURIER-TRANSFORM SPECTROSCOPY; RAPID DETECTION; STAPHYLOCOCCUS-AUREUS; FOODBORNE PATHOGENS; ESCHERICHIA-COLI; WATER; PERSPECTIVE; IMMUNOSENSOR; SURFACES; CAPTURE
作者:Massad-Ivanir, Naama; Shtenberg, Giorgi; Raz, Nitzan; Gazenbeek, Christel; Budding, Dries; Bos, Martine P.; Segal, Ester
作者单位:Technion Israel Inst Technol, Dept Biotechnol & Food Engn, IL-3200003 Haifa, Israel.
期刊名称:SCIENTIFIC REPORTS
期刊影响因子:5.228
出版年份:2016
出版刊次:11
点击下载:多孔硅生物传感器:食品工业中靶细菌的实时光学检测
  1. 编译服务:农产品质量安全
  2. 编译者:贵淑婷
  3. 编译时间:2017-02-07