| Authors | الهام صالحی,کمین دهقان,حمید نجارزادکان,سجاد کرمی,پرهام جلوئی اهرنجانی |
| Journal | Journal of Separation Science |
| Page number | 1 |
| Volume number | 48 |
| IF | 2.8 |
| Paper Type | Full Paper |
| Published At | 2025-10-27 |
| Journal Grade | Scientific - research |
| Journal Type | Electronic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | JCR ,SCOPUS |
| Keywords | green analytical chemistry | hydrophobic solvent | microextraction | organophosphorus detection | water contamination |
|---|
Abstract
Monitoring trace levels of pesticide residues in water remains a major global analytical challenge. We synthesized a bio-derived
hydrophobic deep eutectic solvent (DES), [thymol:tert-butylhydroquinone] (Thy:TBHQ), and coupled it with vortex-assisted
dispersive liquid–liquid microextraction (DLLME) prior to gas chromatography (GC) with micro electron capture detection
(μECD) for pre-concentration of organophosphorus pesticides (OPPs) (phosphamidon, diazinon, chlorpyrifos).DES formation and
stability were confirmed by Fourier transform infrared spectroscopy (O–H red shift) and 1H-NMR (deshielded phenolic signals).
Univariate optimization identified acetonitrile (ACN) as a disperser and ACN/DES = 1:1 (v/v), 100 mL sample, 3 min extraction,
and pH 2–6 as optimal. The method showed excellent linearity (coefficients of determination = 0.991–0.997), limits of detection
(LODs) of 3.44–15.43 ng L−1 and limits of quantification (LOQs) of 10.32–51.38 ng L−1, all well below the EU 100 ng L−1 perpesticide
limit, with enrichment factors of 13–27. Precision supported routine application (intra-day relative standard deviation
[RSD] 1.67%–3.79%; inter-day 5.25%–9.66%). Spiked real samples across environmental waters: tap (≈90%–100% relative recovery),
river (≈60%–82%), and seawater (≈54%–66%), each with RSD < 10% and no background residues detected. The DES retained
>85% of its extraction performance over ≥9 adsorption–desorption cycles. Satisfactory extraction efficiency is probably due to the
synergistic π–π, hydrogen bonding, van der Waals, and hydrophobic interactions between aromatic OPPs and the DES. Overall,
the [Thy:TBHQ]-based vortex-assisted DLLME/GC with μECD platform delivers sensitive, precise, and reusable trace analysis
with reduced solvent use, offering a green alternative for monitoring pesticides in diverse water matrices.