Simultaneous detection ofSalmonella enterica,Escherichia coliandListeria monocytogenesin food using a light scattering sensor

Abstract

Aim To investigate the use of a light scattering sensor, BActerial Rapid Detection using Optical scattering Technology (BARDOT) coupled with a multipathogen selective medium, Salmonella, Escherichia and Listeria (SEL), for concurrent detection of the three major foodborne pathogens in a single assay. Methods and Results BARDOT was used to detect and distinguish the three major pathogens, Salmonella enterica, Shiga toxin‐producing Escherichia coli (STEC) and Listeria monocytogenes from food based on colony scatter signature patterns on SEL agar (SELA). Multiple strains of three test pathogens were grown on SELA, and BARDOT was used to generate colony scatter image libraries for inclusive (SEL Library) and exclusive (non‐SEL Library) bacterial group. These pathogens were further differentiated using the SEL scatter image library. Raw chicken and hotdog samples were artificially inoculated with pathogens (100 CFU per 25 g each), and enriched in SEL broth at 37°C for 18 h and colonies were grown on SELA for 11–22 h before screening with BARDOT. The BARDOT sensor successfully detected and differentiated Salmonella, STEC and Listeria on SELA with high classification accuracy 92–98%, 91–98% and 83–98% positive predictive values (PPV) respectively; whereas the nontarget strains showed only 0–13% PPV. BARDOT‐identified colonies were further confirmed by multiplex PCR targeting inlB gene of L. monocytogenes, stx2 of STEC and sefA of S. enterica serovar Enteritidis. Conclusions The results show that BARDOT coupled with SELA can efficiently screen for the presence of three major pathogens simultaneously in a test sample within 29–40 h. Significance and Impact of the Study This innovative SELA‐BARDOT detection platform can reduce turnaround time and economic burden on food industries by offering a label‐free, noninvasive on‐plate multipathogen screening technology for reducing microbial food safety and public health concerns.

Model-based design of smart active packaging systems with antimicrobial activity

“…However, we envision its potential to incorporate measurements, related to food quality and safety indicators, from new hardware sensors that are being currently under development. For example, nowadays there exist non-invasive devices to detect and measure bacterial pathogens or spoilers, such as Listeria monocytogenes, Escherichia coli or Pseudomonas, in food products (Aït-Kaddour et al, 2011;Abdelhaseib et al, 2019) Taking into account that R = 8.314 J mol −1 K −1 , we obtain E A,P P = 1.27 × 10 5 J mol −1 .…”

Advancement in Salmonella Detection Methods: From Conventional to Electrochemical-Based Sensing Detection

“…BARDOT (Bacterial Rapid Detection using Optical Scattering Technology) and BISLD (Bacteria Identification System by Light Diffraction) are two available methods based on this technique [ 137 , 138 ]. Abdelhaseib M. U. et al utilised BARDOT the system in their study coupled with a multi-pathogen selective medium to identify S. enterica , E. coli and L. monocytogenes in a single assay [ 18 ]. Singh A. K. et al utilised BARDOT and a laser optical sensor to detect 36 different Salmonella serovars in a food sample [ 139 ].…”

“…To date, there are various types of Salmonella detection techniques available with unique mechanisms of detection. They are immunological-based assays, such as enzyme-linked immunosorbent assay (ELISA), latex agglutination method, and immunochromatography assay [ 4 , 5 , 6 ]; molecular-based assays, e.g., polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), nucleic acid sequence-based amplification (NASBA), recombinase polymerase amplification (RPA), DNA microarrays, whole genome-sequencing (WGS) [ 7 , 8 , 9 , 10 , 11 , 12 ]; mass spectrometry-based methods, e.g., matrix-assisted laser desorption ionisation-time-of-flight mass spectrometry (MALDI-TOF MS), liquid chromatography-mass spectrometry (LC-MS) [ 13 , 14 ]; spectroscopy-based methods, e.g., Raman spectroscopy, near-infrared (NIR) spectroscopy, and hyperspectral imaging (HSI) [ 15 , 16 , 17 ], optical phenotyping with light diffraction technology [ 18 ], and electrochemical biosensors [ 19 ]. These methods can identify and discriminate Salmonella down to their serotype level [ 14 , 20 , 21 , 22 , 23 ].…”

Current State of Development of Biosensors and Their Application in Foodborne Pathogen Detection

“…BARDOT is the leading technology for light scattering sensors in the past decades and was developed at Purdue University, and its application has been investigated by expanding the library. BARDOT has been used for rapid screening of Bacillus (85), Salmonella (2,87), Listeria (1,10), Vibrio (41), Shiga-toxin producing E. coli (1,94), and Staphylococcus spp. (6,52).…”