2015-2018年中山市食用油、油脂及其制品监督抽检结果分析及空间分布规律研究
摘 要: 目的 研究中山市食用油、油脂及其制品的抽检结果和空间分布规律。方法 应用Global Moran’s I和LISA空间自相关分析方法, 对中山市食品药品监督管理局2015年1月1日至2018年11月9日公开发布的食用油、油脂及其制品监督抽检数据进行分析。结果 此期间中山市食品药品监督部门共完成744批次“食用油、油脂及其制品”的监督抽检, 合格率为93.4%。东升镇、火炬区、南朗镇、三乡镇、石岐区和五桂山区合格率均为100%。空间自相关结果显示合格率在镇区尺度下具有显著的空间正相关性, 南朗镇(I=0.808, CL=1, P<0.05)和东区(I=0.224, CL=1, P<0.05)呈现显著的高高值聚集分布(High-High)。结论 中山市食用油、油脂及其制品抽检样本总体合格率较高, 不合格批次较少, 企业生产的定型包装产品全部合格, 仅少部分小作坊生产的花生油产品存在少量黄素霉毒素B1超标问题, 反映出中山市食用油、油脂及其制品食品安全总体形势较好, 监管工作效果显著。
Objective To study the sampling results and spatial distribution regularities of edible oil, oil and its products in Zhongshan city. Methods The monitoring and sampling data of edible oils, oils and their products public released by Zhongshan Food and Drug Administration from January 1, 2015 to November 9, 2018 were analyzed by global Moran's I and LISA spatial autocorrelation analysis methods. Results During this period, the Food and Drug Administration of Zhongshan city completed 744 batches of "edible oils, oils and their products" supervision and sampling inspection, and the qualified rate was 93.4%. The qualified rates of Dongsheng town, Torch district, Nanlang town, Three towns, Shiqi district and Wuguishan mountain district were all 100%. The results of spatial autocorrelation showed that the eligibility rate had significant positive spatial correlation at the town scale. The high-high distribution was found in Nanlang town (I = 0.808, CL = 1, P < 0.05) and the East district (I = 0.224, CL = 1, P < 0.05). Conclusion In Zhongshan city, the overall qualified rate of sampling samples of edible oils, oils and their products is high, and the number of unqualified batches is small. The stereotyped packaging products produced by enterprises are all qualified. Only a small number of peanut oil products produced by small workshops have a small amount of flavin mycotoxin B1 exceeding the standard. This reflects the overall situation of food safety of edible oils, oils and their products in Zhongshan city is good, and the effect of supervision is remarkable.
标题：2015-2018年中山市食用油、油脂及其制品监督抽检结果分析及空间分布规律研究
英文标题：Design and investigation of food safety spatio-temporal early warning information system based on multi-source data
作者：
王博远 中山市疾病预防控制中心
陈夏威 中山市疾病预防控制中心
岑应健 广东药科大学
肖革新 国家食品安全评估中心
刘杨 国家食品安全评估中心
李笑 广东药科大学
中文关键词:食品安全,食用油,监督抽检,空间自相关,空间分布,
英文关键词:food safety,edible oil,supervised sampling,spatial autocorrelation,spatial distribution,
发表日期：2018-12-13
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