GC-MS/MS Analysis of 365 Pesticides in Grain, Fruit, and Vegetables

365 pesticide residues were simultaneously analyzed in grain, beans, fruit, and vegetables using a multi-component quantitative GC-MS/MS method. The method was validated on spiked samples of brown rice, soy beans, mandarin orange, potato, and green pepper, with over 95% of compounds meeting recovery and precision criteria. Twenty-two pesticides were detected in 76 food samples, all below maximum residue limits, and the method is applicable for safety control of domestic and imported agricultural products.

Use Cases

• Validate multi-residue analytical methods based on the described GC-MS/MS protocol for 365 pesticides.
• Monitor pesticide compliance in agricultural products based on the detection of 22 pesticides in 76 food samples.
• Assess safety of imported foods based on the inclusion of 26 pesticides authorized abroad but not in Korea.
• Benchmark laboratory performance based on validation criteria of 70–120% recovery and ≤20% relative standard deviation.

Strengths

• Method validated for 365 specific pesticide compounds across multiple food matrices.
• Validation criteria met for over 95% of compounds, indicating high method reliability.
• Analysis of 76 real food samples provides context for practical application.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect methodological bias inherent to paperswithcode as a platform for research papers rather than raw datasets.

Provenance

Source

Hye Soon Kang

Collection Method

Developed and validated GC-MS/MS method for simultaneous determination of pesticide residues.

Geography

Korea, with implications for domestic and imported products.