董庆利,陆冉冉,汪雯,刘阳泰,宋筱瑜,刘箐.案板材质对单增李斯特菌在生熟食品间交叉污染的影响[J].农业机械学报,2016,47(3):207-213.
Dong Qingli,Lu Ranran,Wang Wen,Liu Yangtai,Song Xiaoyu,Liu Qing.Effect of Different Material Cutting Boards on Cross-contamination of Listeria monocytogenes from Raw to Cooked Food[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(3):207-213.
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案板材质对单增李斯特菌在生熟食品间交叉污染的影响   [下载全文]
Effect of Different Material Cutting Boards on Cross-contamination of Listeria monocytogenes from Raw to Cooked Food   [Download Pdf][in English]
投稿时间:2015-08-17  
DOI:10.6041/j.issn.1000-1298.2016.03.029
中文关键词:  案板材质  单增李斯特菌  转移率  交叉污染  暴露评估模型
基金项目:国家自然科学基金项目(31271896)、上海市科委长三角科技联合攻关领域项目(15395810900)、上海市科委重点支撑项目(13430502400)、农业部农产品质量安全风险评估实验室(杭州)开放课题项目(2015FXPG01)和上海市研究生创新基金项目(10-14-308-101)
作者单位
董庆利 上海理工大学 
陆冉冉 上海理工大学 
汪雯 农业部农产品质量安全风险评估实验室(杭州)
浙江省农业科学院 
刘阳泰 上海理工大学 
宋筱瑜 国家食品安全风险评估中心 
刘箐 上海理工大学 
中文摘要:为定量分析生熟食品中单增李斯特菌在不同材质案板上的交叉污染水平,将1mL单增李斯特菌初始菌悬液接种于卤猪舌中,模拟食品制备过程,在案板上先后对卤猪舌和生黄瓜进行切片处理,同时,设定4种常见场景,分别测定不同场景下单增李斯特菌从卤猪舌到案板以及案板到生黄瓜的转移率。此外,构建厨房模拟环境下食物经不同操作方式的暴露评估模型,比较消费者食用不同材质案板处理过的污染单增李斯特菌的生熟食品后发病率的大小。结果表明:不同场景下转移率在一定范围内变化,且不同材质案板同场景下转移率差异显著(P<0.05)。通过暴露模型证实,食用交叉污染的熟肉制品和生鲜蔬菜存在一定风险,且木质案板风险显著高于塑料和不锈钢案板。
Dong Qingli  Lu Ranran  Wang Wen  Liu Yangtai  Song Xiaoyu  Liu Qing
University of Shanghai for Science and Technology,University of Shanghai for Science and Technology,Hangzhou Center for Risk Assessment for Agricultural Products, Ministry of Agriculture;Zhejiang Academy of Agricultural Sciences,University of Shanghai for Science and Technology,China National Center for Food Safety Risk Assessment and University of Shanghai for Science and Technology
Key Words:material cutting board  Listeria monocytogenes  transfer rate  cross contamination  exposure assessment model
Abstract:The objective of this work was to quantify the cross contamination of Listeria monocytogenes from raw to cooked food through different material cutting boards. Transferring experiments were performed to mimic the food preparation process. The marinated pig tongue sample was inoculated with 1mL initial bacterial suspension then put there about 15min before splitting. The cucumber was split on the cutting board at the same position of tongue. Meanwhile, transfer rates from marinated pig tongue to cutting boards and cutting boards to cucumber under various common four scenarios were also determined. Building exposure assessment model of food in different operating modes in the kitchen simulation environment and comparing incidence rate after consumers eating contaminated food dealing with different cutting boards. The results showed that each set of transfer rates proved to be changing in a certain range, and transfer rates of different material cutting boards under the same scenarios varied significantly over experiments (P<0.05). The exposure assessment model of foodborne pathogens from meats to ready to eat vegetables showed the cross contamination with some potential risks to consumers. And the risk of wood cutting board was higher significantly than that of the other two kinds of material cutting boards.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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