Estimating the probability of exceeding the maximum residue limit for Japanese tea using a crop residue model
| Autor: | Akihiro Tokai, Yuki Shiga, Haruko Yamaguchi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Residue (complex analysis)
Crop residue Maximum Residue Limit Pesticide residue Health Toxicology and Mutagenesis 010501 environmental sciences Pesticide 01 natural sciences Acetamiprid Dinotefuran 0104 chemical sciences Toxicology 010404 medicinal & biomolecular chemistry chemistry.chemical_compound chemistry Agronomy Insect Science Original Article Thiamethoxam 0105 earth and related environmental sciences Mathematics |
| Zdroj: | Journal of Pesticide Science. 42:32-38 |
| ISSN: | 1349-0923 1348-589X |
| DOI: | 10.1584/jpestics.d16-090 |
| Popis: | Maximum residue limits (MRLs) for pesticides in export countries from Japan often become a trade barrier for Japanese tea. The purpose of this study is to develop a probabilistic risk estimation method for pesticide residues in green tea. First, we developed a model to estimate the pesticide residue level in green tea. Second, we introduced a regression model for pesticide half-lives on plants, one of the most critical parameters in the model. Finally, we estimated the time-course change of the distribution of the residue level by setting the probability distribution to the half-lives on tea leaves. Applying the model to three pesticides, acetamiprid, dinotefuran, and thiamethoxam, we suggested that the pre-harvest interval of thiamethoxam should be increased by three weeks for export to Taiwan. For EU nations, the MRL excess probabilities of acetamiprid and dinotefuran were measured as 99.6% and 99.5%, respectively, even 28 days after spraying. |
| Databáze: | OpenAIRE |
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