Establishment of a Method for the Detection of Indaziflam, Spirotetramat, Cyantraniliprole, and Their Metabolites and Application for Fruit and Vegetable Risk Assessment

The presence of pesticides in foodstuffs has received increasing amount of attention worldwide. In this study, an efficient and sensitive QuEChERS/HPLC-MS/MS-based method was established for the simultaneous detection of indaziflam, cyantraniliprole, spirotetramat, and their metabolites on fruits and vegetables. The purification procedure and detection condition parameters were optimized. Good precision and reproducibility were found for the method, and the average recoveries of the target analytes ranged from 71 to 118%, with the relative standard deviation ranging from 2 to 12%. The limits of quantification and the limits of detection were 1–5 and 0.3–1.5 μg kg–1, respectively. The proposed method was used to detect three pesticides and their metabolites in fruit and vegetable samples collected from China’s major producing regions. Furthermore, the dietary risk posed by the pesticide residues on fruits and vegetables was evaluated by risk quotients (RQs) and risk probabilities (RPs). The RQ and RP values were less than 100% for Chinese consumers. This study not only provides a reliable analytical method for monitoring purposes but also serves as a significant guide for food safety and export.