食品和保健食品中非法添加药物的筛查探究

Research of screening of illegal added drugs in food and health food

目的建立更具准确靶向性的食品和保健食品中非法添加药物的筛查方案。方法测定9类共195个食品和保健食品样品中的75种非法添加化药,建立包括这195个样品的宣称类别、剂型、主要成分、未知样品颜色、检出的非法添加化药等120个属性指标的数据库,利用主成分分析法和系统聚类分析法分析结果。结果主成分分析和相关性分析表明,根据特征根λ≥1的原则,筛选出43个主成分,累计方差贡献率达到81.74%,而且样品的宣称类别、剂型、成分、未知样品颜色与检出的非法添加之间存在一定关联性;基于120个属性指标的系统聚类分析表明,对195个样品聚类的结果与按照宣称功能分类的结果基本一致。结论根据样品的属性指标,利用主成分分析和系统聚类分析探求筛查方案相对更具准确靶向性的筛查方案,为政府部门对食品和保健食品中非法添加药物的有效监管提供了一定的参考依据。

Objective To establish a more accurate and targeted screening program for the illegal added drugs in food and health food.Methods Illegal addition of 75 chemicals in a total of 195 food and health food samples in 9 categories were detected,a database of 120 attribute indicators including declared categories,dosage forms,main ingredients,unknown sample colors,and illegally added chemicals detected for these 195 samples was established.The results were analyzed by principal component analysis and systematic cluster analysis.Results Principal component analysis and correlation analysis showed that 43 principal components were selected according to the principle of characteristic rootλ≥1,and the cumulative variance contribution rate reached 81.74%.There was a certain correlation between the declared category,dosage form,composition,unknown sample color and the detected illegal addition.The systematic cluster analysis based on 120 attribute indicators showed that the results of the clustering of 195 samples were basically consistent with the results classified according to the claimed function.Conclusion According to the attribute indicators of the samples,principal component analysis and systematic cluster analysis were used to explore screening schemes that are relatively more accurate and targeted.It provides a certain reference basis for government departments to effectively supervise illegally added drugs in food and health food.