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

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Abstract

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.

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Acknowledgements

This research was partially founded by the National Science Foundation under contract number CBET-1064228. X.W. and J.C. would like to thank UGA College of Agricultural and Environmental Sciences Experimental Station for their generous financial support. C.H. would like to thank National Natural Science Foundation of China (Grant No. 61575087); Natural Science Foundation of Jiangsu Province, China (Grant No. BK20151164); and the Priority Academic Program Development of Jiangsu Higher Education Institutions for their generous financial support of her research conducted at the University of Georgia.

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Authors and Affiliations

  1. Nanoscale Science and Engineering Center, University of Georgia, 220 Riverbend Rd, Athens, GA, 30605, USA

    Xiaomeng Wu, Caiqin Han, Jing Chen, Yao-Wen Huang & Yiping Zhao

  2. Department of Food Science and Technology, University of Georgia, Athens, GA, 30605, USA

    Xiaomeng Wu, Jing Chen & Yao-Wen Huang

  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

    Caiqin Han

  4. Department of Physics and Astronomy, University of Georgia, Athens, GA, 30605, USA

    Caiqin Han & Yiping Zhao

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  1. Xiaomeng Wu
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  2. Caiqin Han
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  3. Jing Chen
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  4. Yao-Wen Huang
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  5. Yiping Zhao
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Correspondence to Caiqin Han.

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Wu, X., Han, C., Chen, J. et al. Rapid Detection of Pathogenic Bacteria from Fresh Produce by Filtration and Surface-Enhanced Raman Spectroscopy. JOM 68, 1156–1162 (2016). https://doi.org/10.1007/s11837-015-1724-x

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  • DOI: https://doi.org/10.1007/s11837-015-1724-x

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