Abstract

Agricultural water is closely linked to surface and ground water as well as soil; hence, ensuring its safety is an important endeavor. We used the “quick, easy, cheap, effective, rugged, and safe” (QuEChERS) method to analyze multi-residue pesticides in agricultural water by using a combined-sorbent-based clean-up procedure. Among the various sorbents examined, clean-up using ENVI-Carb combined with a primary secondary amine sorbent delivered the highest recovery of multi-residue pesticides (>93.9%). While the developed method showed satisfactory linearity (R2 > 0.9991), precision, and specificity, recovery was low for pyrazolate (29.1%) and thidiazuron (59.2%). The limits of detection and quantification for the 55 pesticides targeted in this study were in 0.02–3.0 μg L−1 and 0.1–9.9 μg L−1, respectively. The developed method was used to identify and quantify multi-residue pesticides during sample analysis. The results suggest that the QuEChERS method employing a combination of ENVI-Carb and another sorbent can be applied for the effective analysis of multi-residue pesticides in agricultural water.

Highlights

  • Water, an environmental reservoir, has continuously been contaminated by pesticides used for agriculture [1]

  • The results of this study provide an effective strategy for the analysis of residual pesticides in environmental samples such as agricultural water

  • The mobile phases used in this study were composed of water and methanol; satisfactory separation and resolution were achieved for all pesticides

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Summary

Introduction

An environmental reservoir, has continuously been contaminated by pesticides used for agriculture [1]. Several analytical methods have been developed for the extraction of residual pesticides from agricultural water; liquid-liquid, solid-phase, and solid-liquid extraction methods are typically used to prepare agricultural water samples [4,5,6]. These methods have disadvantages such as the use of large volumes of organic solvents, inefficient clean-up procedures, and long processing times

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