Simultaneous determination of 27 pesticides in corn and cow matrices by ultra-performance liquid chromatography-tandem mass spectrometry
文献信息
Fengjiao Hao, Yuanyuan Luo, Fengshou Dong, Xinglu Pan, Xiaohu Wu, Yongquan Zheng, Jun Xu
In this paper, we developed a sensitive UPLC-MS/MS method to determine pesticide residues in plant matrices (corn, fresh corn, fresh corn stover, old corn stover, and corn silage) and animal matrices (beef, fat, milk, milk fat, kidney, liver, and cow stomach) quantitatively. Twenty-seven pesticides were extracted with acetonitrile from all plant and animal matrices separately and purified with a mixture of primary secondary amine (PSA) and graphitized carbon black (GCB) or octadecylsilane (C18). The average recoveries of these compounds ranged from 60.7% to 118.2%, and the relative standard deviations were less than 20.0%. The limit of quantitation for all compounds was 0.01 mg kg−1 (for cyhalothrin and beta cypermethrin the LOQ was 0.02 mg kg−1). The establishment of multi-residue analysis methods for a variety of matrices can be used as a database for future method research. The results of this study are essential for calculating the transfer of pesticide residues from feed to animal products and for monitoring food safety, which will protect people's health and safety.
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Analytical Methods

Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development










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