A rapid and sensitive method was established to simultaneously determine multiple pesticide residues in celery through gas chromatography-mass spectrometry (GC-MS). Samples were extracted through a modified quick, easy, cheap, effective, robust, and safe method (modified QuEChERS) and then refined and preconcentrated through dispersive liquid-liquid microextraction (DLLME) by using CHCl3 as extractive solvent and acetonitrile (ACN) as dispersive solvent. The main factors, including type of extraction solvent, volume of extraction solvent, volume of dispersive solvent, extraction time, salt concentration, vortex velocity, and pH of aqueous solution, influencing DLLME were initially evaluated by performing single-factor variable experiments; three significant factors, particularly volume of extraction solvent, volume of dispersive solvent, and extraction time, were thoroughly analyzed through response surface methodology. The following optimized extraction conditions were obtained: 100 μL of CHCl3, 900 μL of ACN, and 1.62-min extraction time. The optimized method was validated with average recoveries ranging from 70.8 to 93.2 % (with relative standard deviations of <15 %) at three spiked levels for all of the pesticides. Good linearity with determination coefficients of >0.9974 was obtained on the basis of the matrix-matched calibration curve of each pesticide; limits of detection ranging from 2.4 to 14.2 μg/kg indicated high sensitivity. Malathion with concentrations varying from 0.009 to 0.012 mg/kg was detected in all of the samples; other pesticides were not detected.
Pesticide residue Celery GC-MS QuEChERS DLLME
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Compliance with Ethical Standards
This study was funded by The National Natural Science Foundation of China (31071702).
Conflict of Interest
Yaru Wang declares that she has no conflict of interest. Xuexue Miao declares that she has no conflict of interest. Haifeng Wei declares that he has no conflict of interest. Deyun Liu declares that he has no conflict of interest. Gaofeng Xia declares that he has no conflict of interest. Xiaoyun Yang declares that he has no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent is not applicable in this study.
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