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Modelling the pesticide transfer during tea and herbal tea infusions by the identification of critical infusion parameters.
Szternfeld, Philippe; Demoury, Claire; Brian, Wendy; Michelet, Jean-Yves; Van Leeuw, Virginie; Van Hoeck, Els; Joly, Laure.
Affiliation
  • 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.
Food Chem ; 429: 136893, 2023 Dec 15.
Article in En | MEDLINE | ID: mdl-37480773
ABSTRACT
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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Full text: 1 Database: MEDLINE Main subject: Pesticides / Pesticide Residues / Teas, Herbal Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Food Chem Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Pesticides / Pesticide Residues / Teas, Herbal Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Food Chem Year: 2023 Type: Article