Development of an internalin-based double-antibody sandwich quantitative ELISA for the detection ofin slaughterhouse environments.

Abstract

INTRODUCTION: causes zoonotic listeriosis with a high mortality rate, which is frequently detected in slaughterhouse processing environments and animal-based food. To enable the specific, rapid, and cost-effective detection ofin environments and animal-based food, we developed a double-antibody sandwich quantitative ELISA (DAS-qELISA) method. METHODS: The method is based on monoclonal antibodies targeting internalin G (InlG), a surface protein ofwith demonstrated immunogenicity. The antibody pair 1D2-2H10 was selected for use in the sandwich ELISA format. Optimization of the DAS-qELISA method was carried out to determine its detection limits for InlG protein and. RESULTS: The detection limits of the method were determined to be 32 ng/mg for the InlG protein and 7875.83 CFU/mL for. The accuracy of the method was evaluated across various bacterial concentrations, with results falling within 91.56-107.07% and a coefficient of variation (CV) of less than 10%. Compared to traditional methods, this approach requires only 12 h of bacterial enrichment and incubation to achieve 100% accuracy. DISCUSSION: The DAS-qELISA developed in this study provides a rapid, accurate, and cost-effective tool for the detection ofin environmental and animal-based food samples. This method could be a valuable addition to current diagnostic approaches, offering quicker turnaround times and high accuracy for pathogen detection.