检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:朱江辉[1] 宋筱瑜[1] 王晔茹[1] 徐海滨[1]
机构地区:[1]国家食品安全风险评估中心卫生部食品安全风险评估重点实验室,北京100022
出 处:《中国食品卫生杂志》2016年第4期516-522,共7页Chinese Journal of Food Hygiene
基 金:基于电子溯源的食品安全风险评估关键技术研究与应用(2015BAK36B04)
摘 要:目的构建我国食品微生物定量风险分级模型。方法以食品消费量数据为基础,利用专家启发法获得交叉污染和烹调行为相关参数,以2010年我国某省食品中致病菌监测结果为例,通过确定性风险分级模型和风险矩阵,对多种致病菌对人群健康的影响进行分级。结果通过分级模型,发现该省的婴幼儿配方粉中阪崎肠杆菌污染、生畜肉、生禽肉和熟肉制品中的沙门菌污染存在高或较高的健康风险,89.2%的食源性疾病病例由沙门菌引起,87.0%的食源性病例的病因食品可以归因于生畜肉和生禽肉,研究提出了生畜肉-沙门菌组合等应当优先开展风险评估的目录和以交叉污染为重点暴露途径的评估内容。结论初步构建了食品微生物定量风险分级模型,但仍需进一步验证和优化。Objective To develop the quantitative food microbial risk ranking model in China. Methods Based on the real consumption data,parameters for cross-contamination and cooking habits deriving from an expert elicitation,the food pathogen monitoring results from a province in 2010 was used as an example,a deterministic risk ranking model and matrix were used to prioritize the microbial hazards and food types combination. Results There was high health risk and relative high risks caused by Cronobacter in baby formula and Salmonella in raw meat and poultry. 89. 2% illness was salmonellosis and 87. 0% of the cases were attributed to the raw meat and poultry consumption. It also indicated that combinations like raw meat-Salmonella were the top priority for risk assessments and the cross-contamination should be a key factor. Conclusion A quantitative risk ranking model for food microbial contamination was preliminary developed and further validation was needed.
关 键 词:风险分级 风险评估 定量 食源性致病菌 食品微生物 污染 模型
分 类 号:R155.5[医药卫生—营养与食品卫生学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.229