4.7 Article

Zirconium (IV)-based metal organic framework (UIO-67) as efficient sorbent in dispersive solid phase extraction of plant growth regulator from fruits coupled with HPLC fluorescence detection

期刊

TALANTA
卷 154, 期 -, 页码 23-30

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2016.03.038

关键词

Plant growth regulator; Metal-organic framework; Dispersive solid phase extraction; High-performance liquid chromatography (HPLC); Fruit samples

资金

  1. National Natural Science Foundation of China [427 21505084, 21275089, 21475075, 31301595, 21475074]
  2. Natural 428 Science Foundation of Shandong Province [ZR2014BM029, ZR2013BQ019]

向作者/读者索取更多资源

A stable zirconium (IV)-based metal organic frameworks (UIO-67) material possessing good chemical, thermal and water stability was synthesized and applied as a sorbent for the dispersive solid phase extraction (DSPE) of 8 plant growth regulators (PGRs) in fruit samples. Fluorescence labeling combined with high performance liquid chromatography fluorescence detection (HPLC-FLD), was used to quantify the target analytes. Characterization of the UIO-67 material was performed by X-ray diffraction(XRD) and scanning electron microscopy (SEM). The experimental parameters, such as amount of UIO-67, type and volume of eluting solvent, adsorption and desorption time, were optimized. Under the optimized conditions, good linearity was observed in the range of 10-1000 pmol/mL with R-2 > 0.9989. The limits of detection and limits of quantification were in the range of 0.21-0.57 ng/mL and 0.81-1.91 ng/mL, respectively. The intra-day and inter-day precisions (based on the relative standard deviation, n=3) of the PGR derivatives were under 3.1% and 5.3% respectively and the accuracies of the method for the PGRs were in the range from 89.3% to 102.3%. The developed method was successfully applied to analyze PGRs residues in fruit samples. The proposed method is proved to be simple, environment-friendly and inexpensive and it is feasible to directly use UIO-67 as sorbent to extract targets by varying conditions. (c) 2016 Elsevier B.V. All rights reserved.

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