Study on food safety risk assessment of dairy products in Jiangsu

Abstract

The dairy food safety standard system has become more and more complete and the process of production of dairy products by enterprises has become increasingly standardized. However, with the increasing variety of products, the degree of industrial production is deepening, and more and more applications of materials and materials have made the safety inspection indicators set in the existing dairy food safety standards relatively small, which leads to the supervision of dairy products. This paper examines the measurable and exploratory indicators for the production or distribution of liquid milk products in Jiangsu Province, This study mainly includes the following four parts: I. According to the sampling of dairy products and existing research, the food safety risk indicators in dairy products are determined. Conducted identifiable indicators and exploratory indicators for 400 dairy samples purchased in Jiangsu Province. The results show that 400 batches of samples can be judged to be unqualified, which is consistent with previous data. The results of chloramphenicol, Clostridium botulinum, Enterobacter Sakazakii, Listeria monocytogenes and Pseudomonas aeruginosa were not detected in the exploratory test indicators, it shows that the overall quality of dairy products in Jiangsu Province is in line with national sampling rules and relevant standards, and the dairy industry is safe. II. Through data analysis of the test results, Among the exploratory detection indexes, 271 batches of samples detected thiocyanate residues, 41 batches of samples detected positive for psychrophilic bacteria, and 7 batches of samples detected positive for Bacillus cereus. The results show, Although it can be proved that there is no artificial addition of sodium thiocyanate during the processing of the samples tested in this experiment by comparison with other research data, the accumulation of the basic data of exploratory indicators is still very meaningful. III. Through the statistical analysis of the determined risk factor detection data, the principal component analysis method is used to screen out the main indicators that can explain the quality and safety status of dairy products, and empower different indicators. The detection data was analyzed by R language for significant difference between groups. IV. Put forward suggestions and countermeasures combined with the company itself and government supervision. (Am J Transl Med 2022. 6:11-18).