摘要
以杨梅(Morella rubra Lour.)为研究对象,基于宁波市农业科学研究院检测中心历年农药残留监测数据,筛选出检出率较高的5种杀菌剂(多菌灵、苯醚甲环唑、吡唑醚菌酯、嘧菌酯、戊唑醇),系统比较了胶体金免疫层析快速检测法与超高效液相色谱-串联质谱(UPLC-MS/MS)2种检测方法的技术性能。结果表明,免疫层析法检测5种杀菌剂的检出限分别为0.20 mg/kg(多菌灵)、1.00 mg/kg(苯醚甲环唑)、5.00 mg/kg(吡唑醚菌酯)、5.00 mg/kg(嘧菌酯)、1.00 mg/kg(戊唑醇);UPLC-MS/MS法检测5种杀菌剂的检出限均为0.001 mg/kg。5种杀菌剂在杨梅中的添加水平为0.010~1.000 mg/kg时,UPLC-MS/MS法表现出良好的准确度与精密度,5种杀菌剂的平均回收率为74.8%~107.5%,相对标准偏差(RSD)为1.1%~9.0%。免疫层析法具有良好的精密度;5种杀菌剂的假阴性率为0,假阳性率≤5%,相对准确度≥97.5%。虽然免疫层析法的检出限较高,但均小于最大残留限量,完全适用于农药残留的定性筛查,满足现场快速检测的时效性和可靠性要求。
Using Morella rubra Lour.as the research subject,five fungicides with high detection rates(carbendazim,difenoconazole,pyraclostrobin,azoxystrobin,tebuconazole)were screened based on historical pesticide residues monitoring data from the Testing Center of Ningbo Academy of Agricultural Sciences.A systematic comparison was made on the technical performance of two detection methods:colloidal gold immunochromatographic rapid detection and ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS).The results showed that the detection limits of the immunochromatography method for the five fungicides were 0.20 mg/kg(carbendazim),1.00 mg/kg(difenoconazole),5.00 mg/kg(pyraclostrobin),5.00 mg/kg(azoxystrobin),and 1.00 mg/kg(tebuconazole),respectively.The detection limits of the UPLC-MS/MS method for all five fungicides were 0.001 mg/kg.When the spiked levels of the five fungicides in Morella rubra Lour.were 0.010~1.000 mg/kg,the UPLC-MS/MS method demonstrated good accuracy and precision.The average recoveries of the five fungicides ranged from 74.8%to 107.5%,with relative standard deviations(RSD)between 1.1%and 9.0%.The immunochromatography method exhibited good precision.The false-negative rate for the five fungicides was 0,the false-positive rate was≤5%,and the relative accuracy was≥97.5%.Although the detection limits of the immunochromatography method were higher,they were all below the maximum residue limits.This method was fully applicable for qualitative screening of pesticide residues and met the timeliness and reliability requirements for on-site rapid detection.
作者
贾惠言
付岩
王全胜
吴银良
JIA Hui-yan;FU Yan;WANG Quan-sheng;WU Yin-liang(Ningbo Academy of Agricultural Sciences,Ningbo 315040,Zhejiang,China)
出处
《湖北农业科学》
2025年第7期164-170,共7页
Hubei Agricultural Sciences
基金
宁波市重大科技攻关项目(2021Z056)。
