食品科学 ›› 2020, Vol. 41 ›› Issue (23): 166-171.doi: 10.7506/spkx1002-6630-20190927-337

• 营养卫生 • 上一篇    下一篇

基于蒙特卡洛仿真的小麦仓储环节菌落总数风险评估方法

王小艺,陈谦,赵峙尧,熊科,史策,裴鹏刚   

  1. (1.北京工商大学计算机与信息工程学院,北京 100048;2.北京工商大学,中国轻工业工业互联网与大数据重点实验室,北京 100048;3.北京工商大学,北京市食品添加剂工程技术研究中心,北京 100048;4.北京市农业信息技术研究中心,北京 100097)
  • 出版日期:2020-12-15 发布日期:2020-12-28
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2017YFC1600605);国家自然科学基金青年科学基金项目(61903008); 北京市自然科学基金项目(4194074);北京工商大学研究生能力提升计划项目

A Risk Assessment Method for Total Bacterial Count in Wheat during Storage Based on Monte Carlo Simulation

WANG Xiaoyi, CHEN Qian, ZHAO Zhiyao, XIONG Ke, SHI Ce, PEI Penggang   

  1. (1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; 2. China Key Laboratory of Light Industry for Industrial Internet and Big Data, Beijing Technology and Business University, Beijing 100048, China; 3. Beijing Technology Research Center for Food Additive Engineering, Beijing Technology and Business University, Beijing 100048, China; 4. Beijing Technology Research Center for Agricultural Information, Beijing 100097, China)
  • Online:2020-12-15 Published:2020-12-28

摘要: 小麦是重要的粮食作物,对其食品安全问题的研究具有十分重要的意义。在小麦供应链中,小麦仓储环节是生物性危害物产生的高风险环节,应对其危害物的风险水平进行有效监控和预警。风险评估技术正被大力推动并用于评估因接触食物中的生物、化学或物理危害物而对健康生活造成的潜在危害和相关风险。考虑到已有定性和定量风险评估方法的优缺点以及缺少直观明确的风险度量指标等问题,本实验以小麦仓储环节中菌落总数为评估对象,研究一种针对生物性危害物的风险评估方法。首先,建立可以适应不同生长环境的菌落动态生长模型;在此基础上,基于蒙特卡洛仿真对小麦仓储环节中菌落总数概率分布进行定量预测;最后,提出风险度量指标“危害度”,并基于该指标对小麦仓储环节中菌落总数风险进行定量评价。该风险评估方法可以为风险管理和决策部门提供实时、直观的风险评估结果,给风险防控提供理论支持。

关键词: 食品安全;危害物;蒙特卡洛仿真;菌落总数;风险评估

Abstract: Wheat is an important food crop, and research on food safety issues regarding wheat is of great significance. In the wheat supply chain, wheat storage has a high risk of producing biological hazards, and the risk level should be effectively monitored for early-warning. Development of risk assessment techniques is being strongly promoted to assess potential health risks associated with direct exposure to biological, chemical or physical hazards in foods. Considering the advantages and disadvantages of the existing qualitative and quantitative risk assessment methods and the lack of reasonable risk assessment metrics, a comprehensive risk assessment method for biological hazards was explored based on total bacterial count during wheat storage. First, a dynamic bacterial growth model that can adapt to different growth environments was established. Then, Monte Carlo simulation was used to quantitatively predict the distribution characteristics of total bacterial count during wheat storage. Finally, “hazard degree” was proposed as a metric for risk evaluation and used to quantitatively estimate the risk of total bacterial count during wheat storage. The proposed risk assessment method can provide real-time and intuitive risk assessment results for risk management and decision making authorities, and offer theoretical support for risk prevention and control.

Key words: food safety; hazard; Monte Carlo simulation; total bacterial count; risk assessment

中图分类号: