Liu Zhenzhen, Qi Peipei, Wang Xiangyun, Wang Zhiwei, Xu Xiahong, Chen Wenxue, Wu Liyu, Zhang Hu, Wang Qiang, Wang Xinquan
Institute of Quality and Standard of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, PR China; Food College, Hainan University, Haikou 570228, PR China.
Institute of Quality and Standard of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, PR China; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou 310021, PR China; Agricultural Ministry Key Laboratory for Pesticide Residue Detection, Hangzhou 310021, PR China.
Food Chem. 2017 Sep 1;230:423-431. doi: 10.1016/j.foodchem.2017.03.082. Epub 2017 Mar 15.
A facile, rapid sample pretreatment method was developed based on magnetic nanoparticles for multi-pesticides residue analysis of grains. Magnetite (FeO) nanoparticles modified with 3-(N,N-diethylamino)propyltrimethoxysilane (FeO-PSA) and commercial C18 were selected as the cleanup adsorbents to remove the target interferences of the matrix, such as fatty acids and non-polar compounds. Rice was used as the representative grain sample for method optimization. The amount of FeO-PSA and C18 were systematically investigated for selecting the suitable purification conditions, and the simultaneous determination of 50 pesticides and 8 related metabolites in rice was established by liquid chromatography-tandem mass spectrometry. Under the optimal conditions, the method validation was performed including linearity, sensitivity, matrix effect, recovery and precision, which all satisfy the requirement for pesticides residue analysis. Compared to the conventional QuEChERS method with non-magnetic material as cleanup adsorbent, the present method can save 30% of the pretreatment time, giving the high throughput analysis possible.
基于磁性纳米颗粒开发了一种简便、快速的样品预处理方法,用于谷物中多种农药残留分析。选用经3-(N,N-二乙氨基)丙基三甲氧基硅烷修饰的磁铁矿(Fe₃O₄)纳米颗粒(Fe₃O₄-PSA)和市售C18作为净化吸附剂,以去除基质中的目标干扰物,如脂肪酸和非极性化合物。以大米作为代表性谷物样品进行方法优化。系统研究了Fe₃O₄-PSA和C18的用量以选择合适的净化条件,并通过液相色谱-串联质谱法建立了大米中50种农药和8种相关代谢物的同时测定方法。在最佳条件下,进行了包括线性、灵敏度、基质效应、回收率和精密度在内的方法验证,所有这些均满足农药残留分析的要求。与以非磁性材料作为净化吸附剂的传统QuEChERS方法相比,本方法可节省30%的预处理时间,使高通量分析成为可能。