Investigation of pesticide residues and heavy metal contamination characteristics and dietary risk assessment of Myrica rubra in Wenzhou,China
In order to investigate the characteristics of pesticide residues and heavy metal pollutants of Myrica rubra in Wenzhou and the risk of dietary,the pollution characteristics and dietary risk of 71 pesticide residues such as car-bendazim,pyrimethanil,acetamiprid and 9 heavy metal pollutants such as chromium,nickel,cuprum in Myrica rubra were studied.The results showed that in 121 samples of Myrica rubra,84 were found to have pesticide residues and 3 were found to be substandard,the detection rate of pesticides in Myrica rubra samples was 69.42％,the quali-fied rate was 97.52％,and the detection rate of multiple residues was 48.76％.A total of 30 pesticides were detec-ted,26 pesticides were not registered in Myrica rubra or fruit production.In terms of dietary intake risk assessment of pesticides,based on the evaluation results of the pesticide residue food safety index (IFS),this study found IFS values and (IFS) values of detected pesticides were all less than one,indicating that dietary intake risk was at an ac-ceptable level.Based on the evaluation results of the point evaluation method,this study found chronic dietary intake risk (％ADI) and acute dietary risk (％ARfD) of detected pesticides were all less than 100％,indicating that chro-nic and acute dietary intake risk was at an acceptable level.The qualified rate of heavy metal pollutants in Myrica rubra samples was 94.21％,while the unqualified samples were all cadmium exceeding the standard,and the medi-an value of cadmium level was less than the average and the national limits for food contaminants.According to the IFS evaluation results,dietary intake risk of heavy metals is at an acceptable level.And according to the evaluation results of point assessment method,chronic dietary exposure risk of heavy metals is acceptable.These results suggest that,pesticide residues and heavy metal dietary intake of Myrica rubra in Wenzhou is acceptable.
万方数据
维普
