Experimental data of manuscript Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan [DATASET]

An exposure assessment model for industrial use has been developed by using kinetic data from inactivation and growth of Bacillus cereus spores. It can provide a valuable tool for estimating the concentration of B. cereus after a storage period of 24 h at a specified temperature (20 °C) and for an estimation of the percentage of contaminated portions according to the input data of the model. This model considers a rice-derived product that has undergone a standard cooking process at 95 °C for 20 min. According to the results, the presence of chitosan affects the final microbial load after storage, potentially serving as an additional control measure in the event of cold chain abuse or break. Chitosan’s antimicrobial properties likely play a role in reducing microbial growth during storage, thereby contributing to enhanced food safety. In practical terms, this suggests that incorporating chitosan into food products, especially those susceptible to microbial contamination like rice derivatives, could help mitigate risks associated with temperature abuse or cold chain disruptions. By acting as a protective barrier against microbial proliferation, chitosan offers a preventive measure to maintain product quality and safety throughout the supply chain. Considering two scenarios, 104 or 107 as initial contamination the model estimated that the 55 and 100% of portions would be respectively contaminated, according to a Performance Criteria of 4 log reductions.

本研究基于蜡样芽孢杆菌（Bacillus cereus）孢子的灭活与生长动力学数据，开发了一款面向工业应用的暴露评估模型。该模型可作为有效工具，依据模型输入参数，估算特定温度（20℃）下储存24小时后的蜡样芽孢杆菌浓度，以及受污染样品的占比。本模型针对经95℃、20min标准蒸煮工艺处理的大米衍生食品构建。研究结果显示，壳聚糖（chitosan）的添加会影响储存后的最终微生物载量，在冷链滥用或中断的场景下，可作为额外的微生物控制手段。壳聚糖的抗菌特性可抑制储存期间的微生物增殖，进而提升食品安全性。从实际应用角度而言，这表明将壳聚糖添加至易受微生物污染的食品（如大米衍生食品）中，可有效缓解因温度滥用或冷链中断带来的安全风险。壳聚糖可通过构建抵御微生物增殖的防护屏障，为全供应链中维持产品品质与安全性提供预防手段。依据以4个对数单位的微生物减少量为性能判定标准，模型针对初始污染负荷为10⁴或10⁷的两种场景进行估算，结果显示受污染样品占比分别为55%与100%。