Performance of metal-organic framework as an excellent sorbent for highly efficient and sensitive trace determination of anthracene in water and food samples

AuthorsRouhollah Khani,Alireza Farrokhi
JournalEnvironmental Science and Pollution Research
Page number26305-26314
Serial number27
Volume number22
IF2.741
Paper TypeFull Paper
Published At2020
Journal GradeISI
Journal TypeElectronic
Journal CountryBelgium
Journal IndexJCR،Scopus

Abstract

Polycyclic aromatic hydrocarbons are a class of highly toxic and unremitting organic pollutants that are widely distributed in the natural environment. In this work, a metal-organic framework (MOF) designated as HKUST-1 [Cu3(BTC)2] was synthesized, characterized, and applied as a solid-phase extraction sorbent for the determination of a trace polycyclic aromatic hydrocarbon, anthracene (Ant) as model compound, in various real samples by spectrofluorimetry. The synthesized MOF exhibited large surface areas and high extraction ability, making it excellent candidate as sorbent for enrichment of trace anthracene. The effects of influential parameters on the performance of the dispersive micro-solid-phase extraction (Dμ-SPE) process, such as the initial anthracene concentration, pH, sorbent dosage, and shaking time, were investigated and optimized by the experiment design method. Under the optimized experimental conditions, good linearity in the range of 3–85 ng mL−1 with correlation coefficient 0.997 and good sensitivity with low detection limit 0.5 ng mL−1 for Ant was achieved. The method has been validated in the analysis of real tap water, soft drink, and vegetable juice samples with recoveries in the range of 86.33–103.00% and relative standard deviations in the range of 1.94–3.77%. The as-prepared HKUST-1 was used for at least four times without any obvious decline of extraction capability. The results of this study show the great potential of MOFs as sorbents in Dμ-SPE procedures for the separation and determination of trace Ant in complicated matrices

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tags: Anthracene . Metal-organic frameworks . Multivariate optimization . Polycyclic aromatic hydrocarbons . Vegetable juice samples