Journal article
Enhancing detection of Listeria monocytogenes in food products using an enzyme
FOOD CONTROL, v 145, 109445
Mar 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
There is a need to identify the presence of microorganisms, in particular human pathogens, in food processing facilities and products. Adhesion of pathogens to surfaces poses a detection challenge with biofilms greatly hindering detection by precluding the transfer of specific material to downstream sensors. Enzymes that disrupt biofilms can therefore enhance detection of foodborne pathogens through facilitating their release from abiotic and biotic surfaces. In this study, a recombinant enzyme, CAase, was applied to improve detection of biofilm-embedded Listeria monocytogenes on food and food contact surfaces. Microbiological and molecular detection methods demonstrated that biofilms treated with enzyme for longer than 4 h resulted in a significant increase in the number of cells released into the media compared to untreated controls. This work demonstrates the benefits of inclusion of enzymes and biosurfactants within sample processing and detection protocols because of their ability to contribute to a more rapid, accurate, reliable, and repeatable microbial detection assay when biofilm embedded pathogens are present.
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Details
- Title
- Enhancing detection of Listeria monocytogenes in food products using an enzyme
- Publication Details
- FOOD CONTROL, v 145, 109445
- Publisher
- ELSEVIER SCI LTD; OXFORD
- Grant note
- This research was supported by the US Department of Agriculture, Agricultural Research Service (No 8072-42000-093-000-D and 8072-42000-094-00D). This work was also supported by Commonwealth Research Commercialization Fund (CRCF) award CRCF MF19-012-LS Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA. The USDA is an equal opportunity employer. The authors wish to thank Joe Uknalis (ERRC Core Facilities, Microscopy) for assistance with electron microscopy imaging of samples in this manuscript.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000909745500003
- Scopus ID
- 2-s2.0-85139840446
- Other Identifier
- 991021861284004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Food Science & Technology