Modelling the pesticide transfer during tea and herbal tea infusions by the identification of critical infusion parameters.

Autor: Szternfeld P; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium. Electronic address: Philippe.Szternfeld@sciensano.be., Demoury C; Service Risk and Health Impact Assessment, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium., Brian W; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium., Michelet JY; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium., Van Leeuw V; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium., Van Hoeck E; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium., Joly L; Service Organic Contaminants and Additives, Department of Chemical and Physical Health Risks, Sciensano, 14 rue Juliette Wytsman, 1050 Brussels, Belgium.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2023 Dec 15; Vol. 429, pp. 136893. Date of Electronic Publication: 2023 Jul 17.
DOI: 10.1016/j.foodchem.2023.136893
Abstrakt: 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.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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