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Cited 8 time in webofscience Cited 8 time in scopus
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A quick and effective methodology for analyzing dinotefuran and its highly polar metabolites in plum using liquid chromatography-tandem mass spectrometry

Authors
Rahman, Md. MusfiqurAbd El-Aty, A. M.Kabir, Md. HumayunChung, Hyung SukLee, Han SolHacimuftuoglu, FazilJeong, Ji HoonChang, Byung-JoonShin, Ho-ChulShim, Jae-Han
Issue Date
Jan-2018
Publisher
ELSEVIER SCI LTD
Keywords
Dinotefuran; Polar metabolites; Matrix effect; Plum; QuEChERS
Citation
FOOD CHEMISTRY, v.239, pp 1235 - 1243
Pages
9
Journal Title
FOOD CHEMISTRY
Volume
239
Start Page
1235
End Page
1243
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/1321
DOI
10.1016/j.foodchem.2017.07.073
ISSN
0308-8146
1873-7072
Abstract
A simple and effective method was developed for analyzing dinotefuran and its three metabolites (MNG, UF, and DN) in plum using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Due to the polarity and high water miscibility, dinotefuran and some of its metabolites (especially DN) have some limitations to be extracted with acetonitrile and salt following the "QuEChERS" sample preparation methodology. Alternatively, the samples were extracted with methanol, and purified with dispersive-solid phase extraction procedure (d-SPE) using primary secondary amine (PSA) and C-18 sorbents after filtration, and mass up. Due to the suppression effect originated from plum matrix, matrix-matched calibration curves, which provided good linearity with coefficient of determination (R-2) >= 0.998, were used for quantification of all analytes. Blank plum samples fortified with 2 spiking levels (10 x LOQ and 50 x LOQ) yielded satisfactory recoveries for all tested analytes in the range of 83.01 to 110.18% with relative standard deviation (RSD) <= 8.91. The method was successfully applied to field-incurred plum samples and dinotefuran and all metabolites were positively detected and quantified. In conclusion, we suggest that the method can be expanded to polar compounds having solvent and partitioning problems in any of the versions of QuEChERS. (C) 2017 Elsevier Ltd. All rights reserved.
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