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Rapid analysis of forchlorfenuron in fruits using molecular complex-based dispersive liquid-liquid microextraction.
- Source :
-
Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment [Food Addit Contam Part A Chem Anal Control Expo Risk Assess] 2021 Apr; Vol. 38 (4), pp. 637-645. Date of Electronic Publication: 2021 Mar 15. - Publication Year :
- 2021
-
Abstract
- The main sample preparation method for analysis of pesticide residues in fruits is QuEChERS. In this study, a novel sample preparation method using molecular complex-based dispersive liquid-liquid microextraction is introduced with detection of forchlorfenuron by high-performance liquid chromatography coupled with diode array and mass spectrometric detection. Sample treatment involves initial extraction of a 5 g sample with 3 mL acetonitrile, and then the selective concentration of the analyte is performed using 150 µL tributyl phosphate by forming intermolecular hydrogen bonds with the analyte. The extraction mechanism was proved using ATR-FTIR. Under the optimised conditions, recovery rates varied between 88% and 107% for various sample matrices spiked at three levels in the range 0.01-0.1 mg kg <superscript>-1</superscript> . Intra-day and inter-day repeatabilities were in the ranges of 2.2-8.0% and 1.6-9.5%, respectively. Detection limit and quantitation limit were 0.33 µg kg <superscript>-1</superscript> and 1.09 µg kg <superscript>-1</superscript> for diode-array detection; 0.01 µg kg <superscript>-1</superscript> and 0.04 µg kg <superscript>-1</superscript> for tandem mass spectrometry detection. This method was successfully applied for the analysis of 149 various fruits. The analyte was found in 4 of the 149 samples and the contents were not over the specific maximum residue limit established by domestic and international regulations.
Details
- Language :
- English
- ISSN :
- 1944-0057
- Volume :
- 38
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment
- Publication Type :
- Academic Journal
- Accession number :
- 33721551
- Full Text :
- https://doi.org/10.1080/19440049.2021.1876250