2018—2021年广州市白云区网络外卖食品微生物污染状况监测分析
作者:
作者单位:

1.广州市白云区疾病预防控制中心,广东 广州 510445;2.海南医学院公共卫生与全健康国际学院,海南 海口 571199

作者简介:

林虹 女 主管医师 研究方向为食品安全与食源性疾病 E-mail:linhong0410@foxmail.com

通讯作者:

曹文婷 女 讲师 研究方向为营养与健康 E-mail:hy0208040@hainmc.edu.cn

中图分类号:

R155

基金项目:

广州市卫生健康科技项目(20221A011111)


Monitoring and analysis of microbial contamination in online takeaway food in Baiyun district, Guangzhou city from 2018 to 2021
Author:
Affiliation:

1.Guangzhou Baiyun Center for Disease Control and Prevention, Guangdong Guangzhou 510445, China;2.International School of Public Health and One Health, Hainan Medical University, Hainan Haikou 571199, China

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    摘要:

    目的 了解广东省广州市白云区网络外卖食品安全风险,为完善广州市外卖食品安全保障体系提供科学依据。方法 2018—2021年在广州市白云区采集174份网络外卖食品,依据《食品安全国家标准 食品微生物学检验》(GB 4789)对样品中菌落总数、大肠埃希菌、沙门菌、金黄色葡萄球菌、单核细胞增生李斯特菌、蜡样芽胞杆菌、副溶血性弧菌进行培养和鉴定。结果 2018—2021年监测样品总体不合格率为20.1%(35/174),其中菌落总数和大肠埃希菌不合格率较高,不同年度的不合格率及不同类别食品的不合格率差异具有统计学意义(P<0.05)。单因素分析发现不同室外湿度、不同食品中心温度样品的合格率组间差异具有统计学意义(P<0.05)。多因素Logistic回归分析发现,食物中心温度越高(OR=0.917,95% CI:0.876~0.960),食品不合格率越低;对不同品种的外卖食品进行组间比较发现,以米饭加菜类为参照组,凉拌菜类(OR=0.010,95% CI:0.001~0.159)、寿司手卷类(OR=0.041,95% CI:0.002~0.771)的不合格率更低(P<0.05)。结论 广州市白云区的网络外卖食品存在一定程度的细菌污染,建议市场监管部门加强对网络外卖食品的监督管理,规范餐饮行业的操作流程,提高管理水平。

    Abstract:

    Objective To provide a scientific basis for improving the food safety guarantee system in Guangzhou, an investigation was conducted into the safety risks of online takeaway food in Baiyun district.Methods From 2018 to 2021, 174 online takeaway food samples were collected in Baiyun district, Guangzhou. The microbial contamination of the samples, including the total bacterial count, Escherichia coliSalmonellaStaphylococcus aureusListeria monocytogenesBacillus cerus and Vibrio parahaemolyticus were cultured and identified.Results Of the 174 online takeaway food samples collected in Baiyun district, Guangzhou from 2018 to 2021, 35 (20.1%) were contaminated with harmful microorganisms. Importantly, Escherichia coli was the most common contaminant. The unqualified rate of samples varied significantly by year and food type (P<0.05). Univariate analysis showed that the qualified rate of samples varied significantly for samples with different food center temperatures and outdoor humidity conditions (P<0.05). Multivariate Logistic regression analysis showed that a higher food center temperature was associated with a lower unqualified rate (OR=0.917, 95% CI: 0.876-0.960). The unqualified rate of rice dishes was significantly higher than that of cold dishes (OR=0.010, 95% CI: 0.001-0.159) and sushi hand rolls (OR=0.041, 95% CI: 0.002-0.771) (P<0.05).Conclusion The study’s findings suggest that a certain degree of bacterial contamination prevails in takeaway food in the Baiyun district of Guangzhou. The market supervision department should take steps to strengthen the supervision and management of food businesses. Importantly, the department should develop and implement more stringent food safety standards

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林虹,陈梁发,谭伟煊,梁文辉,罗桂河,彭会德,曹文婷.2018—2021年广州市白云区网络外卖食品微生物污染状况监测分析[J].中国食品卫生杂志,2023,35(5):757-762.

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  • 收稿日期:2022-02-06
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  • 在线发布日期: 2023-08-14
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