摘要
建立了同时测定铁皮石斛中氰霜唑及其代谢物4-氯-5-(4-甲苯基)-1H-咪唑-2-腈(CCIM)的超高效液相色谱-串联质谱分析方法,并对实际样品中的氰霜唑和CCIM进行了检测。样品采用乙腈提取,提取液经0.1%甲酸溶液稀释定容后进行液相色谱串联质谱分析。色谱柱采用Acquity BEH C18进行色谱分离,流动相为0.1%甲酸溶液-乙腈,梯度洗脱;质谱采用电喷雾正离子(ESI+)模式电离,多反应监测(MRM)模式采集数据,基质校准外标法定量。结果表明:氰霜唑和CCIM基质标准溶液在0.0001~0.05 mg·L^(-1)浓度范围内定量离子对峰面积与浓度呈良好的线性关系。在0.010~2.0 mg·kg^(-1)添加水平下,氰霜唑在铁皮石斛中的回收率为81%~106%,CCIM在铁皮石斛中的回收率为82%~107%,且相对标准偏差(RSD)最大为3.8%(n=5),方法的最低检出量为1.0×10^(-12)g,最低检出浓度为0.01 mg·kg^(-1),该分析方法操作简单快速,灵敏度和精密度均符合农药残留检测要求。
A method was established to determine the residue of cyazofamid and its metabolite 4-chloro-5-(4-methylphenyl)-1 H-imidazole-2-carbonitrile(CCIM)by UPLC-MS/MS in Dendrobium Officinale Kimura et Migo.The samples were extracted with acetonitrile and the aqueous phase as inject solution after dilution with 0.1%formic acid solution.The LC-MS/MS analytical conditions were as follows:UPLC BEH C18 column,0.1%formic acid solution and acetonitrile as the mobile phase with gradient elution,positive electrospray ionization(ESI+)mode,multiple reaction monitoring(MRM)acquisition mode,and matrix-matched external standard method as quantitative method.Such method displayed a good linearity in the range of 0.0001 mg·L^(-1)to 0.05 mg·L^(-1)for cyazofamidin and CCIM.Results showed that at fortified levels of 0.010 to 2.0 mg·kg^(-1)of cyazofamidin and CCIM in Dendrobium Officinale Kimura et Migo,the average recoveries were 81%~106%and 82%~107%.The maximum of the coefficient of variation were 3.8%(n=5).The limit of detection was estimated to be 1×10^(-12)g,and the limit of quantification was 0.01 mg·kg^(-1).This method is simple and accurate,and it is suitable for determination and confirmation of cyazofamidin and CCIM in Dendrobium Officinale Kimura et Migo.
作者
付岩
王全胜
张亮
凌淑萍
吕燕
Fu Yan;Wang Quansheng;Zhang Liang;Ling Shuping;Lv Yan(The Ningbo Academy of Agricultural Sciences,Ningbo 315040;Ningbo Key Laboratory of Testing and Control for Characteristic Agro-Product Quality and Safety,Ningbo 315040,China)
出处
《广东化工》
CAS
2023年第22期148-150,共3页
Guangdong Chemical Industry
基金
宁波市科技局公益计划项目(2021S074)
宁波市重大科技攻关项目(2021Z056)。