Detection of Tetracycline Residues in Chicken and Health Risk Assessment
In this study, caged poultry as the research object, antibiotics are quantitatively analyzed by near infrared spectroscopy. Introducing food safety index indicators by calculating the amount of dietary exposure with the data to assess health risk. Finally, by using SOM neural network to verify the practicality. Risk assessment model combined with the national standard divide tetracycline residues of chicken risks into: high, medium and low. So it improves the applicability of the national standard. To conclude, this study can be applied to test other related agricultural products and food industry to guarantee food security.
tetracycline chicken, near infrared spectrum index of health food, safety risk assessment
Junhua Zhao Peiyuan Guo Lingzi Xiang Shuo Liu Kuncheng Yang Xiaodong Chen
College of Information Engineering Beijing Technology and Business University Beijing,100048,China
国际会议
秦皇岛
英文
1664-1667
2015-09-18(万方平台首次上网日期,不代表论文的发表时间)