ELIME-IMS hybrid assay for Salmonella detection in swine mesenteric lymph nodes at slaughterhouse

Food Microbiol. 2025 Jan:125:104659. doi: 10.1016/j.fm.2024.104659. Epub 2024 Oct 16.

Abstract

Salmonella contamination in pig slaughterhouses is linked to infection rate on farms. Accurate diagnosis in heavy pigs relies on isolating pathogens from the gut wall or lymph nodes. A key technique is Immunocapture using Magnetic Beads (IMS), which purifies target bacteria from Salmonella enrichment broths. This is followed by an Enzyme-Linked Immunomagnetic Electrochemical (ELIME) assay for rapid detection. In our study, we developed an ELIME-IMS hybrid assay to detect Salmonella in swine mesenteric lymph nodes (MNL), involving a clean-up with N-acetylcysteine and centrifugation. Detection limits for S. Typhimurium and S. Derby were estimated at 2.80 and 3.52 Log CFU/ml, respectively. We analysed 103 MNL samples from a northern Italy slaughterhouse. Additionally, we examined 15 carcass swabs. Both the ELIME assay and the IMS-based culture method showed strong agreement with the ISO 6579-1:2017 method, especially after 20 h of enrichment (89.47% concordance). The clean-up step significantly influenced the results, as samples processed without it showed higher variability. A logistic regression model indicated high classification accuracy for negative samples using ELIME values. The ELIME-IMS assay facilitates rapid Salmonella screening and isolation in swine mesenteric lymph nodes.

Keywords: Carcasses; ISO 6579–1:2017; Salmonella; Screening test; Slaughterhouse; electrochemical biosensors. immunomagnetic beads; lymph nodes.

Publication types

  • Evaluation Study

MeSH terms

  • Abattoirs*
  • Animals
  • Food Contamination / analysis
  • Immunomagnetic Separation / methods
  • Italy
  • Lymph Nodes* / microbiology
  • Salmonella / isolation & purification
  • Salmonella Infections, Animal / diagnosis
  • Salmonella Infections, Animal / microbiology
  • Swine
  • Swine Diseases / diagnosis
  • Swine Diseases / microbiology