Graphene-Type Materials for the Dispersive Solid-Phase Extraction Step in the QuEChERS Method for the Extraction of Brominated Flame Retardants from Capsicum Cultivars.
Virgínia Cruz FernandesValentina Fernandes DominguesMarta S NunesRenata MatosIwona Kuźniarska-BiernackaDiana M FernandesAntonio Guerrero RuizInmaculada Rodríguez RamosCristina FreireCristina Delerue-MatosPublished in: Journal of agricultural and food chemistry (2023)
A new application of graphene-type materials as an alternative cleanup sorbent in a quick, easy, cheap, effective, rugged, and safe (QuEChERS) procedure combined with GC-ECD/GC-MS/GC-MS/MS detection was successfully used for the simultaneous analysis of 12 brominated flame retardants in Capsicum cultivar samples. The chemical, structural, and morphological properties of the graphene-type materials were evaluated. The materials exhibited good adsorption capability of matrix interferents without compromising the extraction efficiency of target analytes when compared with other cleanups using commercial sorbents. Under optimal conditions, excellent recoveries were obtained, ranging from 90 to 108% with relative standard deviations of <14%. The developed method showed good linearity with a correlation coefficient above 0.9927, and the limits of quantification were in the range of 0.35-0.82 μg/kg. The developed QuEChERS procedure using reduced graphite oxide (rGO) combined with GC/MS was successfully applied in 20 samples, and the pentabromotoluene residues were quantified in two samples.
Keyphrases
- solid phase extraction
- liquid chromatography tandem mass spectrometry
- gas chromatography
- tandem mass spectrometry
- high performance liquid chromatography
- gas chromatography mass spectrometry
- simultaneous determination
- ms ms
- ultra high performance liquid chromatography
- molecularly imprinted
- liquid chromatography
- high resolution mass spectrometry
- mass spectrometry
- minimally invasive
- carbon nanotubes
- magnetic resonance imaging
- label free
- magnetic resonance
- walled carbon nanotubes
- computed tomography
- quantum dots
- sensitive detection