4.7 Article

Separation and detection of E. coli O157:H7 using a SERS-based microfluidic immunosensor

期刊

MICROCHIMICA ACTA
卷 189, 期 3, 页码 -

出版社

SPRINGER WIEN
DOI: 10.1007/s00604-022-05187-8

关键词

Food-borne pathogen; Raman spectroscopy; Immunoassay; Food safety; Gold nanoparticles

资金

  1. USDA National Institute of Food and Agriculture [2018-67017-27880, 2019-67021-29859]
  2. National Science Foundation [CBET-2103025]
  3. Robert T. Marshall Scholarship

向作者/读者索取更多资源

A sensitive SERS-based microfluidic immunosensor was developed for the separation and detection of Escherichia coli O157:H7 in romaine lettuce. The combination of SERS nanoprobes and a hydrodynamic flow-focusing microfluidic device provides a reliable, selective, and sensitive approach for the detection of various pathogens in complex food samples.
A sensitive SERS-based microfluidic immunosensor was developed to separate and detect Escherichia coli O157:H7 in romaine lettuce. SERS nanoprobes, containing gold nanoparticles and specific antibodies against E. coli O157:H7, were used to selectively anchor onto the E. coli O157:H7 cells and separate them from lettuce samples. Separated cells were then detected within a hydrodynamic flow-focusing microfluidic device using the Raman spectroscope with an excitation laser of 785 nm at similar to 35 mW. Bacterial concentrations of 100, 10, 1, and 0.5 CFU .mL(-1) were successfully detected after less than 60 min of enrichment. The limit of detection of E. coli O157:H7 in romaine lettuce was found to be 0.5 CFU.mL(-1), verifying the sensitivity of our protocol for detection of pathogens in food samples. High linearity (R-2 > 0.93) in the calibration curves for E. coli O157:H7 was observed after 30 min of enrichment. The method reduced the analysis time for single-cell detection to only 1 h, which is significantly shorter than the days required in conventional methods. In summary, combining the hydrodynamic flow-focusing microfluidic device with SERS nanoprobes provides a reliable, selective, and sensitive approach for the detection of various pathogens in complex food samples.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据