Analysis of results in detection of food safety in Shenzhen from 2010 to 2012

FAN Yu-hui; MENG Cai-xia; WANG Yan-ju; LIU Hai-yang

Abstract：Objective:To analysis of the main food categories( such as meat,vegetables,fruits and so on)change in trend,heavy metals,microbial additives exceed the standard conditions in Shenzhen from 2010 to 2012,and analyzes three fac-tors related to food safety and health through the data:food production,testing sites and detecting seasonal in order to provide more scientific food sampling scheme and improve the sampling efficiency. Methods:Data sources in food detection information market supervision administration of Shenzhen Municipality from 2010 to 2012. First,use the method of analytic hierarchy process and through the MATLAB programming to obtain the weight of microbial,heavy metals and additives in the comprehen-sive evaluation of food hygiene and safety,calculate the comprehensive evaluation index. Secondly,according to the Shenzhen Municipal Bureau of Standards at the recommended food security evaluation criteria(GB3838 - 2002‘Food security quality standards’and‘food quality grading’)obtained the level of food hygiene and safety conditions in Shenzhen from 2010 to 2012. Then use of SPSS for food hygiene and safety and food production,testing sites and detecting seasonal regression analysis and the relationship between them. Finally,on the basis of the results,develop food sampling optimization scheme,and make it more effectively to reflect the food safety and health status. Results:Through the analysis we can see that although Shenzhen′s food hygiene and safety grade is grade II in 2010 - 2012,the food hygiene and safety coefficients were 0. 224,0. 157,0. 122, the food safety and health situation of these three years has been improved year by year. In addition,through regression analysis of food hygiene and safety,there is a linear relationship between food origin,detection location,detecting seasonal and it. Con-clusion:The food safety and health situation has been improved year by year in Shenzhen from 2010 to 2012;there is a linear relationship between food origin,detection location,detecting seasonal and the failure rate of the food safety monitor. In limited supervision costs and detection time,we should deal with detection times for the rational allocation in order to optimize the food detection scheme. Reduce the number of detections for the stability test results or the better test conditions. Increase the number of detections for the instability of the test results or the worse test conditions. This method can improve the detection efficiency of food hygiene and safety in a certain extent.