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ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Characterization and Interventions for Foodborne Pathogens » Research » Publications at this Location » Publication #386480
Research Project: Development of Innovative Technologies and Strategies to Mitigate Biological, Chemical, Physical, and Environmental Threats to Food Safety

Location: Characterization and Interventions for Foodborne Pathogens

Title: Detection of Listeria Monocytogenes in milk using a laser light scattering sensor system

Author
item ZHU, X - Nanjing University
item BAI, X - Purdue University
item LIU, D - Purdue University
item BHUNIA, A - Purdue University
item ZHAO, Z - Nanjing University

Submitted to: Lasers in Engineering
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/27/2019
Publication Date: 11/1/2020
Citation: Zhu, X.Y., Bai, X.J., Liu, D.Q., Bhunia, A.K., Zhao, Z.M. 2020. Detection of Listeria Monocytogenes in milk using a laser light scattering sensor system. Lasers in Engineering. 47(4-6):203-219.

Interpretive Summary: Rapid detection and identification of human pathogens in the food supply remains a critical problem in preventing foodborne illness. This study reports the detection of Listeria monocytogenes in milk using an laser-based elastic light scattering (ELS) sensor system and verifies the reliability of the system, even when the bacteria were grown on a variety of different media. These results indicate that the ELS system can accurately detect Listeria monocytogenes in milk, which could provide a rapid assay to ensure a milk supply that is free of this human pathogen.

Technical Abstract: This study reports the detection of foodborne pathogen (Listeria monocytogenes)in milk using the laser light scattering sensor system, bacterial rapid detection using optical scattering technology (BARDOT), and verifies the reliability of the system. The BARDOT mainly includes colony location finder system and light scattering capture system. To apply BARDOT for detection, the library of Listeria monocytogenes and non-Listeria monocytogenes should be established. After that, the laser light scatter patterns of the milk samples will be collected and the features of scatterpatterns can be extracted after selecting the appropriate wavelet moments; therefore, the detected colony can be classified and analysed based on the established library. To validate the effectiveness of the presented technology, we test the colonies which have been detected by BARDOT using polymerase chain reaction PCR and real-time quantitative PCR (qPCR) methods. Meanwhile, we also investigated whether the cell wall protein expression of Listeria monocytogenes in different medium would affect the detection result of BARDOT. Results reveal that the BARDOT system can accurately detect Listeria monocytogenes in milk and will not be affected by culture medium, which provides a label-free, real-time detection method for Listeria monocytogenes. Keywords: