LC/MS/MS, GC/MS/MS를 이용한 국내유통 다소비 농산물의 잔류농약에 대한 안전성 평가

다국어 초록 (Multilingual Abstract)

In this study, we conducted a survey for the safety management of 511 agricultural chemicals and verified the multicomponent analysis method.
Brown rice and citrus were selected from the representative agricultural products, and 511 pesticides were analyzed by using Quick, Easy, Cheap, Effective, Rugged and Safe EN method and LC/MS/MS and GC/ㅌMS/MS. In order to verify the effectiveness of the multicomponent analysis method, a calibration curve was prepared at 6 concentrations in the range of 0.005-0.2 mg/kg containing 0.01 mg/kg of PLS level using an untreated sample solution. In all specimens, the correlation coefficient of pesticides was (R2) 0.8 or higher, showing high linearity, and the quantitative limit of each component was 0.01 or less. As a result of verifying the recovery rate at the LOQ level in the sample, it was confirmed that the recovery rate was 60-120% for most pesticides, and the relative quasi-deviation was less than 31%. In this study, as a result of verification, the multi-component analysis method confirmed the applicability of a survey on residual pesticides among agricultural products. In addition, a total of 511 pesticides (577 ingredients) were analyzed using GC/MS/MS and LC/MS/MS for 280 agricultural products of 15 kinds, and 159 pesticides of 95 kinds were detected from 12 kinds, all below the acceptable residual standard.

목차 (Table of Contents)

• Ⅰ. 서 론 1
• Ⅱ. 재료 및 방법 5
• 1. 실험 재료 5
• 2. 표준품 및 시약 6
• 3. 분석법 검증 방법 6
• 4. 실험방법 7
• 4.1. 시료 전처리 7
• 4.2. 기기분석 조건 7
• Ⅲ. 결과 및 고찰 12
• 1.LC/MS/MS분석법에 대한 검증 12
• 1.1직선성 12
• 1.2정량한계 12
• 1.3회수율(Recovery) 및 정확도 및 정밀도 13
• 2.GC/MS/MS분석법에 대한 검증 24
• 2.1직선성 24
• 2.2정량한계 24
• 2.3 회수율(Recovery) 및 정확도 및 정밀도 25
• 3.잔류농약 검출 결과 39
• 3.1 품목별 잔류농약 검출률 41
• 3.2 농약성분별 잔류농약 검출률 44
• 4. 잔류농약 분석에 대한 동향 및 향후과제 48
• Ⅳ. 요약 50
• Ⅴ. 참고문헌 52