A method of multi-component simultaneous quantitative analysis was developed for determining 365 pesticide residues in grains, beans, fruits, and vegetables by using GC-MS/MS that can be used to monitor and inspect agricultural products. Twenty-six pesticides that have been standardized in foreign countries but not in Korea were included in the newly adapted positive list system of Korea. The method was validated by analysing spiked samples at three concentrations (0.01, 0.05, and 0.1 mg/kg) for the matrices of brown rice, soybeans, mandarin, potato, and green pepper, which represented grains, beans, fruits, and vegetables. All 365 pesticides satisfied the validation criteria of 70～120% recovery and ≤20% relative standard deviation obtained through the proposed simultaneous multi-component analysis. Twenty-two types of pesticides were detected from the 76 samples of the food samples, whose concentrations were below the maximum residue limits. Among the newly added pesticides, lambda-cyhalothrin, an analogue of cyhalothrin, was detected in peach. Therefore, the method can be applied to the analysis and inspection of pesticide residues in domestic and imported agricultural products to regulate safety control.

Determinations of 66 pesticide residues in different matrices including beef, pork, chicken, egg, and milk were conducted using GC-MS/MS combined with the quick easy cheap effective rugged safe (QuEChERS) method for sample extraction. A high linearity was achieved in the concentration range from 2.5 to 1000 μg/L (R2≥ 0.99), and the limit of quantification for multi-class pesticides range from 0.74 to 23.1 μg/kg. The recovery ranged from 70.0 to 120.0%, while the reproducibility of the measurements was between 0.23 and 19.9%. Monitoring was conducted for the livestock products purchased from local markets. Chlorpyrifos and fenitrothion in beef and chlorpyrifos in pork were found lower than the maximum residue limits for the respective samples. No detectable residues were found in the other samples. Due to its high efficiency, reproducibility, and simple analytical operation, the method can be applicable in the regular monitoring of multi-residue pesticides in livestock products.