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Green Pre-Treatment Strategy Using Ionic Liquid-Based Aqueous Two-Phase Systems for Pesticide Determination in
Ana Jocić1, Slađana Marić1, Danijela Tekić1
1Department of Physical Chemistry, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, 11351 Belgrade, Serbia.
This study introduces an eco-friendly method using ionic liquids (ILs) in aqueous two-phase systems (ATPSs) for pesticide residue analysis in strawberries. The novel approach achieves over 98% extraction efficiency for key pesticides, enhancing food safety monitoring.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Food Chemistry
Background:
- Pesticide residues in fruits and vegetables pose health risks.
- Effective monitoring of pesticide contamination is crucial for consumer safety.
- Conventional methods may lack efficiency or sustainability.
Purpose of the Study:
- To develop and evaluate aqueous two-phase systems (ATPSs) for pesticide extraction from strawberry samples.
- To investigate the efficiency of phosphonium or ammonium ionic liquids (ILs) combined with ammonium sulfate for pesticide preconcentration.
- To assess the sustainability of the proposed method using green chemistry metrics.
Main Methods:
- Liquid-liquid equilibrium measurements for various ATPSs.
- Extraction experiments using clomazone, pyraclostrobin, and deltamethrin.
- Optimization of ATPS parameters (pH, temperature, composition).
- Analysis of pesticide concentrations using liquid chromatography.
Main Results:
- All tested pesticides effectively migrated to the IL-rich phase in the ATPSs.
- Extraction efficiencies exceeding 98% were achieved for clomazone, pyraclostrobin, and deltamethrin.
- Significant pesticide preconcentration to mg/L levels was obtained in strawberry samples.
- The optimized system demonstrated high efficiency and selectivity.
Conclusions:
- ATPSs utilizing phosphonium/ammonium ILs and ammonium sulfate offer an effective pre-treatment for pesticide residue analysis.
- The developed method is suitable for sensitive detection of pesticides in complex food matrices like strawberries.
- The approach aligns with green chemistry principles, offering a sustainable alternative for food safety analysis.
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