Yazar "Afshar Mogaddam, Mohammad Reza" seçeneğine göre listele

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    Determination and extraction of acrylamide in processed food samples using alkanol-based supramolecular solvent-assisted dispersive liquid-liquid microextraction coupled with spectrophotometer: Optimization using factorial design
    (Elsevier, 2023) Altunay Nail; Elik Adil; Tüzen, Mustafa; Afshar Mogaddam, Mohammad Reza; Farooque Lanjwani, Muhammad
    In current study, simple, rapid, sensitive and selective alkanol-based supramolecular solvent-assisted dispersive liquid-liquid microextraction (SSA-DLLME) method was first time developed for the extraction and determination of acrylamide (AA) in coffee, chocolate, roasted nuts, French fries, cereals, biscuits, chips, bread and caramelized fruit using UV–visible spectrophotometer. Different parameters were investigated and optimized to know their effects on the extraction of AA. Studies have shown that effective extraction of AA was achieved at short vortex time (2 min) and acidic pHs. Extraction of AA was inversely proportional to sample volume. The linear range (LR) of the SSA-DLLME method was 0.6–350 ng mL−1. The limit of detection (LOD), and limit of quantification (LOQ) were found to be 0.2 ng mL−1 and 0.6 ng mL−1, respectively. In addition, enhancement factor and preconcentration factor was 114 and 200, respectively. Factorial design was utilized to better understand dual effluents of factors on extraction recovery of the AA. Optimized SSA-DLLME method was successfully applied to process food samples for the determination of AA.
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    In-situ sorbent formation for the extraction of pesticides from honey
    (Wiley-V C H Verlag Gmbh, 2022) Nemati, Mahboob; Altunay, Nail; Tuzen, Mustafa; Farajzadeh, Mir Ali; Afshar Mogaddam, Mohammad Reza
    An organic polymer was re-precipitated in solution to use as an adsorbent in dispersive solid-phase extraction of some pesticides from honey samples prior to their determination by high-performance liquid chromatography-tandem mass spectrometry. In this approach, different deep eutectic solvents were prepared using lysine and their ability in elution of the analytes from the adsorbent surface was tested. A diluted honey solution was transferred into a glass test tube and then a solution of polystyrene dissolved in dimethylformamide was injected into the solution. By doing this, polystyrene is re-precipitated in the solution and dispersed in whole parts of it as many tiny particles. Then the mixture was centrifuged and the adsorbed analytes on the particles were eluted using a proper hydrophilic deep eutectic solvent. The central composite design approach was used for the optimization of effective parameters. The limits of detection and quantification were in the ranges of 0.06-0.20 and 0.22-0.69 ng/g, respectively. The calibration curves obtained by matrix-matched standard solutions were linear in the range of 0.69-500 ng/g with a coefficient of determinations >= 0.9962. The method provided high extraction recoveries (70%-99%) and enrichment factors (140-198), and an acceptable precision (relative standard deviations <= 7.1%).