Validation of Solus One Salmonella from Select Food Matrixes and Stainless-Steel and Plastic Environmental Surfaces

Abstract

Background: Solus One Salmonella is designed to accurately detect Salmonella species (Salmonella enterica subspecies enterica, salamae, arizonae, diarizonae, houtenae, indica, and Salmonella bongori) from select food matrixes and stainless-steel and plastic environmental surfaces. Solus One Salmonella uses an antibody-based technology test system that is paired with media and our proprietary media supplement, the Solus One Salmonella supplement combined with a manual or automated sample preparation method. Objective: Solus One Salmonella was evaluated for inclusivity and exclusivity, and a matrix comparison study was done for six food matrixes (raw beef trim, pasteurized liquid egg, raw salmon, cheddar cheese, Romaine lettuce, nonfat dry milk) and two environmental surfaces (stainless steel and polystyrene). Methods: Solus One Salmonella was compared with the U.S. Food and Drug Administration Bacteriological Analytical Manual Chapter 5: Salmonella (July 2018) and the U.S. Department of Agriculture Food Safety and Inspection Service Microbiology Laboratory Manual, 4.09 (January 2017) in the matrix study. Both the manual and automated sample preparation methods were performed for cheddar cheese and stainless-steel environmental surfaces. Results: For the inclusivity and exclusivity evaluation, Solus One Salmonella correctly detected all 108 target organism isolates and correctly excluded all 35 nontarget strains that were analyzed. Conclusions: In the method comparison study, both Solus One Salmonella manual and automated sample preparation methods demonstrated no significant differences based on probability of detection (POD) statistical analysis between presumptive and confirmed results or between candidate and reference method results for the six food matrixes after 20–22 h and two environmental surfaces after 16–20 h of enrichment time. POD analysis of Solus One Salmonella method robustness, product consistency, and stability studies using the automated sample preparation method demonstrated no statistically significant differences.