Clean-up Strategy for Dithiocarbamate Fungicide Determination in Soybean by GC-ITD-MS and GC-PFPD: Method Development and Validation.
Rosselei Caiel da SilvaCristine WickertIonara Regina PizzuttiAndré de KokPublished in: Journal of agricultural and food chemistry (2021)
Food matrices consist of many components with different physical and chemical properties that may influence instrumental robustness. The soybean contains fatty coextractives which may have a deleterious effect on the gas chromatography (GC) system. In this study, the efficiencies of PSA, C18OH, C18, silica, aluminum oxide, and Florisil, as dSPE clean-up sorbents, were evaluated by the high-performance liquid chromatography (HPLC) diode-array detector and evaporative light-scattering detector analysis. The dithiocarbamates in soybean samples are determined as CS2 using acidic hydrolysis and isooctane partitioning, followed by GC-PFPD and GC-ITD-MS analyses. The linearity of the analytical curves, the instrument limit of detection matrix effects, the trueness and precision, and the method limit of quantification (LOQ) were assessed in the validation study. Milled soybean was spiked with thiram solution at three concentration levels (corresponding to 0.05, 0.1, and 0.5 mg CS2 kg-1) for recovery determination. Silica appeared to be an effective and cheap sorbent to remove coextracted matrix components without causing any CS2 losses. Recoveries were in the range of 68-91%, with relative standard deviations ≤ 8.7%. The method LOQ was 0.05 mg CS2 kg-1, and both GC-ITD-MS and GC-PFPD systems appeared to be appropriate and complementary to determine dithiocarbamate residues in soybean extracts.
Keyphrases
- gas chromatography
- solid phase extraction
- mass spectrometry
- high performance liquid chromatography
- tandem mass spectrometry
- liquid chromatography
- molecularly imprinted
- high resolution mass spectrometry
- gas chromatography mass spectrometry
- simultaneous determination
- acute myeloid leukemia
- high resolution
- ms ms
- prostate cancer
- multiple sclerosis
- magnetic resonance imaging
- high throughput
- magnetic resonance
- contrast enhanced
- quantum dots