Quantification of 397 pesticide residues in different types of commercial teas: Validation of high accuracy methods and quality assessment

Autor: Tuan-Kiet Ly, Tran-Thi Nhu-Trang, Philippe Behra
Přispěvatelé: Chimie Agro-Industrielle (CAI), Ecole nationale supérieure des ingénieurs en arts chimiques et technologiques-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Center of Analytical Services and Experimentation (CASE), Nguyen Tat Thanh University [Vietnam] (NTTU)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Food Chemistry
Food Chemistry, Elsevier, 2022, 370, pp.130986. ⟨10.1016/j.foodchem.2021.130986⟩
ISSN: 0308-8146
DOI: 10.1016/j.foodchem.2021.130986⟩
Popis: International audience; Analytical methods with high sensitivity and accuracy were successfully validated for the quantification of 397 pesticides in different types of tea. For the UPLC-MS/MS method, 191 pesticides of 200 ones in total had “soft” matrix effects and could be quantified by calibration curves in the solvent. For the GC-MS/MS method, matrix-matched calibration curves were established on a mixed blank including white, green, oolong and black organic teas. The method limit of quantifications ranged from 1.0 µg kg−1 to 10 µg kg−1 (UPLC-MS/MS) and 1.0 µg kg−1 to 50 µg kg−1 (GC-MS/MS), with 70–120% of recovery. These methods was subsequently applied to 106 tea samples from several origins, in which 26 samples contained at least one pesticide violation, with a total of 43 pesticide residue violations. The most frequently detected pesticides were neonicotinoids, synthetic pyrethroids, and triazole fungicides. Taiwan had the most pesticide-contaminated samples followed by China, Vietnam, and India.
Databáze: OpenAIRE