期刊
FOOD CHEMISTRY
卷 429, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2023.136893
关键词
Pesticides; Tea; Infusion; Transfer factor; Modelling
Pesticide residues in tea and herbal tea often exceed EU maximum residue limits. This study identified infusion parameters influencing the transfer behavior of 61 pesticides and developed a predictive model for pesticides with unknown transfer factors. Tea type and the presence of flavors were the criteria that most influenced pesticide transfer. Beta regression models showed good predictions for most pesticides, with log (P) being the main parameter for estimating pesticide transfer. The transfer factors database and validated models are valuable tools for improving risk assessment.
Pesticide residues in tea and herbal tea often exceed EU maximum residue limits. Consideration of the transfer of pesticides from the leaves (called transfer factors) to the brew is essential to assess the associated risk. This study identified infusion parameters influencing the transfer behaviour of 61 pesticides and elaborated a predictive model for pesticides with unknown transfer factors in black, green, herbal and flavoured teas. Tea type and the presence of flavours were the criteria that most influenced the pesticide transfer. Interestingly, infusion parameters that are individual and area dependent such as infusion time, temperature and water hardness, did not play a significant role. Beta regression models developed to characterise pesticide behaviour during infusion showed good predictions for most pesticides and revealed that log (P) was the main physico-chemical parameter to estimate the pesticide transfer. The transfer factors database and validated models are valuable tools for improving risk assessment.
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