Literature DB >> 27987259

Rapid multiplug filtration cleanup method for the determination of 124 pesticide residues in rice, wheat, and corn.

Yongtao Han1, Le Song1, Nan Zou1, Yuhong Qin1, Xuesheng Li2, Canping Pan1,2.   

Abstract

A simple and rapid multiplug filtration cleanup method based on multiwalled carbon nanotubes was developed to determine 124 pesticide residues in rice, wheat, and corn, which could be done in a few seconds without conditioning and elution steps. Various combinations of sorbents were optimized for each matrix with a dispersive solid-phase extraction procedure to get a satisfactory recovery and clean-up performance. Good linearity was obtained for all pesticides with calibration curve coefficients larger than 0.9958. Most recoveries for the majority pesticides were between 70 and 120% (n = 5) with relative standard deviations below 20%. The limit of detection was 0.1-1.3 μg/kg, and the limit of quantification was 0.2-4.3 μg/kg for the pesticides in all matrices. The work suggests that the multiplug filtration cleanup method is better than the dispersive solid-phase extraction method and it could be applied to routinely monitor pesticide residues in market samples.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  corn; multiplug filtration cleanup; pesticide residues; rice; wheat

Mesh:

Substances:

Year:  2017        PMID: 27987259     DOI: 10.1002/jssc.201600978

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  2 in total

1.  Comparison of Different Home/Commercial Washing Strategies for Ten Typical Pesticide Residue Removal Effects in Kumquat, Spinach and Cucumber.

Authors:  Yangliu Wu; Quanshun An; Dong Li; Jun Wu; Canping Pan
Journal:  Int J Environ Res Public Health       Date:  2019-02-06       Impact factor: 3.390

2.  Development and evaluation of an automated multi-channel multiplug filtration cleanup device for pesticide residue analysis on mulberry leaves and processed tea.

Authors:  Yangliu Wu; Quanshun An; Jun Wu; Ping Li; Jianhong He; Canping Pan
Journal:  RSC Adv       Date:  2020-01-14       Impact factor: 3.361

  2 in total

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