A hybrid triazine-imine core-shell magnetic covalent organic polymer for analysis of pesticides in fruit samples by ultra high performance liquid chromatography with tandem mass spectrometry

18Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

A novel hybrid triazine-imine core-shell magnetic covalent organic polymer with high adsorption capacity and excellent stability was fabricated by surface-assisted in situ growth technique. The composite possesses porous and extended π-conjugated system, and was applied as the magnetic sorbent for efficient enrichment and rapid separation of pesticides. A new analytical method for simultaneous determination of eight pesticides in fruit samples was developed by magnetic solid phase extraction combined with ultra high performance liquid chromatography and tandem mass spectrometry. The effect of extraction time, desorption time, and the type of desorption solvent on the extraction efficiency were evaluated. The established method shows good repeatability and high sensitivity. The repeatability of this method was estimated with relative standard deviations in the range of 0.7–7.0% (n = 5) for the same batch, and 1.7–10% (n = 3) for batch to batch. Good linearity for eight pesticides was obtained with coefficient of determination in the range of 0.9942–0.9990. Limit of detections ranged from 0.4 to 1.2 ng/L. Real sample determination showed that four and two pesticides were detected in strawberry and grape, respectively. The results demonstrated that the established method was efficient, sensitive, and convenient for trace determination of pesticides in fruit samples.

Cite

CITATION STYLE

APA

Liang, R., Peng, Y., Hu, Y., & Li, G. (2019). A hybrid triazine-imine core-shell magnetic covalent organic polymer for analysis of pesticides in fruit samples by ultra high performance liquid chromatography with tandem mass spectrometry. Journal of Separation Science, 42(7), 1432–1439. https://doi.org/10.1002/jssc.201801299

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free