Rapid Detection of Pathogenic Bacteria from Fresh Produce by Filtration and Surface-Enhanced Raman Spectroscopy

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• 作者：Xiaomeng Wu ; Caiqin Han ; Jing Chen ; Yao-Wen Huang ; Yiping Zhao
• 刊名：JOM Journal of the Minerals, Metals and Materials Society
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：68
• 期：4
• 页码：1156-1162
• 全文大小：1,712 KB
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• 作者单位：Xiaomeng Wu (1) (2)
  Caiqin Han (1) (3) (4)
  Jing Chen (1) (2)
  Yao-Wen Huang (1) (2)
  Yiping Zhao (1) (4)
  
  1. Nanoscale Science and Engineering Center, University of Georgia, 220 Riverbend Rd, Athens, GA, 30605, USA
  2. Department of Food Science and Technology, University of Georgia, Athens, GA, 30605, USA
  3. Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, People’s Republic of China
  4. Department of Physics and Astronomy, University of Georgia, Athens, GA, 30605, USA
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Materials Science
  Metallic Materials
  Nanotechnology
  Crystallography
  
• 出版者：Springer Boston
• ISSN：1543-1851

文摘

The detection of Salmonella Poona from cantaloupe cubes and E. coli O157:H7 from lettuce has been explored by using a filtration method and surface-enhanced Raman spectroscopy (SERS) based on vancomycin-functionalized silver nanorod array substrates. It is found that with a two-step filtration process, the limit of detection (LOD) of Salmonella Poona from cantaloupe cubes can be as low as 100 CFU/mL in less than 4 h, whereas the chlorophyll in the lettuce causes severe SERS spectral interference. To improve the LOD of lettuce, a three-step filtration method with a hydrophobic filter is proposed. The hydrophobic filter can effectively eliminate the interferences from chlorophyll and achieve a LOD of 1000 CFU/mL detection of E. coli O157:H7 from lettuce samples within 5 h. With the low LODs and rapid detection time, the SERS biosensing platform has demonstrated its potential as a rapid, simple, and inexpensive means for pathogenic bacteria detection from fresh produce.