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Determination of fenazaquin in water and tomato matrices by GC-MS after a combined QuEChERS and switchable solvent liquid phase microextraction

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Abstract

This study presents the use of Quick Easy Cheap Efficient Rugged and Safe (QuEChERS) as an effective sample cleaning procedure and switchable solvent liquid phase microextraction (SS-LPME) as a preconcentration tool for the determination of fenazaquin by gas chromatography mass spectrometry (GC-MS) at ultratrace levels. After a thorough optimization process, 0.50 mL of switchable solvent, 1.5 mL of 1.0 M sodium hydroxide, and 15 s of vortexing were determined as optimum conditions of the SS-LPME method. The limit of detection (LOD) and limit of quantitation (LOQ) determined using the optimum method (SS-LPME/GC-MS) were 0.05 and 0.18 ng/mL, respectively. Compared with direct GC-MS determination of fenazaquin, the optimum method yielded about 800-fold enhancement in detection power of GC-MS. The method was applied to lake, irrigation canal, well, and wastewater samples. In order to test the method’s applicability on fresh tomato samples, a QuEChERS method was used before applying the SS-LPME method. Matrix-matched calibration standards were used to enhance the accuracy of fenazaquin quantification in spiked tomato samples to obtain recovery results close to 100%.

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Authors and Affiliations

  1. Environmental Engineering Department, Civil Engineering Faculty, Yildiz Technical University, Davutpaşa, Esenler, 34220, İstanbul, Turkey

    Nouha Bakaraki Turan

  2. Department of Chemistry, Faculty of Art and Science, Yildiz Technical University, Davutpaşa, Esenler, 34220, İstanbul, Turkey

    Esra Maltepe, Dotse Selali Chormey & Sezgin Bakırdere

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  1. Nouha Bakaraki Turan
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  2. Esra Maltepe
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  3. Dotse Selali Chormey
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  4. Sezgin Bakırdere
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Correspondence to Sezgin Bakırdere.

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Turan, N.B., Maltepe, E., Chormey, D.S. et al. Determination of fenazaquin in water and tomato matrices by GC-MS after a combined QuEChERS and switchable solvent liquid phase microextraction. Environ Monit Assess 192, 72 (2020). https://doi.org/10.1007/s10661-019-8061-4

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