Author(s): Guillier, Laurent ; Gonzales-Barron, Ursula ; Pouillot, Régis ; Mota, Juliana De Oliveira ; Allende, Ana ; Kovacevic, Jovana ; Guldimann, Claudia ; Fazil, Aamir ; Al-Qadiri, Hamzah ; Dong, Qingli ; Hasegawa, Akio ; Cadavez, Vasco ; Sanaa, Moez
Date: 2025
Persistent ID: http://hdl.handle.net/10198/35073
Origin: Biblioteca Digital do IPB
Subject(s): Melon; Primary production; Listeriosis; Exposure assessment; Simulation
This study introduces a farm-to-fork quantitative risk assessment (QRA) model for invasive listeriosis from ready-to-eat diced cantaloupe. The modular model comprises seven stages-preharvest (soil and irrigation contamination), harvest (cross-contamination and survival), pre-processing (brushing), processing (flume tank washing, dicing and equipment cross-contamination), lot testing, cold-chain transport and retail growth, and consumer storage/handling. Each stage employs stochastic functions to simulate microbial prevalence and concentration changes (growth, inactivation, removal, partitioning, cross-contamination) using published data. In a reference scenario-good agricultural practices (soil barriers, no preharvest irrigation), hygienic processing and proper cold storage-the model predicts low lot- and pack-level contamination, with few packs >10 CFU/g and most servings below detection; the mean risk per serving is very low. "What-if" analyses highlight critical control points: the absence of soil barriers with preharvest irrigation can increase the risk by 10,000-fold; flume tank water contamination has a greater impact than harvest-stage cross-contamination; and poor consumer storage can raise the risk by up to 500-fold. This flexible QRA framework enables regulators and industry to evaluate and optimize interventions-from improved agricultural measures to targeted sampling plans and consumer guidance-to mitigate listeriosis risk from RTE diced cantaloupe.
