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Poster Presentations
Day 3, June 24（Tue.）
Room P (Maesato East, Foyer, Ocean Wing)
- 3P-PM-27
Integrating DynamiCROP Model and Risk Assessment for Pesticide Residues in Spinach: Implications for Food Safety
(1Konkuk Univ., 2Kangwon Nat'l Univ., 3NAS)
oJi-Woo Yu1, Min-Ho Song2, Jung-Hoon Lee2, Hui-Yeon Ahn1, Eun-Song Choi2, Young-Soo Keum1, Hyun Ho Noh3, Ji-Ho Lee2
This study aimed to optimize the dynamiCROP model for spinach to predict pesticide residue dynamics and assess dietary risks. The dynamiCROP model has emerged as a valuable tool for modeling pesticide behavior in crops which simulate designed to simulate the uptake, translocation, dissipation, and residue behavior of pesticides in crops. Nine commonly used pesticides (pencycuron, propamocarb, deltamethrin, cypermethrin, thiamethoxam, fenazaqiun, dinotefuran, cymoxanil, and fenpropathrin) were applied in controlled field conditions, and their dissipation patterns were analyzed through both experimental data using LC-MS/MS and GC-MS/MS. The recovery rate and linearity of all analyzed pesticides met the Codex criteria and explained the accuracy of the instrumental analysis results. Spinach-specific parameters, including leaf area index and growth stages, were integrated into the model to improve predictive accuracy. The model demonstrated strong performance, with R² values exceeding 0.8 and mean absolute error (MAE) values below the maximum residue limits (MRLs). Risk assessments based on both measured and modeled data indicated that propamocarb exhibited the highest hazard quotient (HQ), though all pesticides showed HQ values below 10% after 14 days post-application. The findings highlight the model's reliability for pesticide risk assessment and its potential application in regulatory decision-making for food safety.