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Simultaneous determination of multiresidual phenyl acetanilide pesticides in different food commodities by solid-phase cleanup and gas chromatography-mass spectrometry

Authors

  • Yongjun Li,

    1. Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha, China
    2. Food Safety Science and Technology Key Laboratory of Hunan Province, Changsha, China
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  • Meiling Wang,

    1. Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha, China
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  • Hongfei Yan,

    1. Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha, China
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  • Shanliang Fu,

    1. Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha, China
    2. Food Safety Science and Technology Key Laboratory of Hunan Province, Changsha, China
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  • Hua Dai

    Corresponding author
    • Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha, China
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Correspondence: Professor Hua Dai, Inspection and Quarantine Technology Center, Hunan Entry-Exit Inspection and Quarantine Bureau of China, Changsha 410004, China

E-mail: hnciqlyj@126.com

Fax: +86 731 85627820

Abstract

An efficient and sensitive multiresidue method has been developed for quantification and confirmation of 25 phenyl acetanilide pesticides in a wide variety of food commodities including maize, spinach, mushroom, apple, soybean, chestnut, tea, beef, cattle liver, chicken, fish, and milk. Analytes were extracted with acetone–n-hexane (1:2, v/v) followed by cleanup using SPE. Several types of adsorbents were evaluated. Neutral aluminum and graphitized carbon black cartridge showed good cleanup efficiency. The extract was determined by GC-MS in the selected ion monitoring mode using one target and two qualitative ions for each analyte. The limits of detection were 0.01 mg/kg for all analytes. The average recoveries ranged from 66.9 to 110.6% (mean 88.8%) and RSDs were in the range 2.0–19% (mean 10.5%) across three fortification levels. The proposed method was successfully applied to real samples in routine analysis and a satisfactory result was obtained.

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