A metal sieve-linked double-syringe sugaring-out liquid–liquid microextraction as a new analytical system for the accurate and sensitive determination of pyrimethanil in GC-MS
Scientific Reports, cilt.16, sa.1, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 16 Sayı: 1
- Basım Tarihi: 2026
- Doi Numarası: 10.1038/s41598-026-60954-4
- Dergi Adı: Scientific Reports
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Chemical Abstracts Core, EMBASE, MEDLINE, Directory of Open Access Journals, Zoological Record, Academic Search Ultimate (EBSCO), Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
- Anahtar Kelimeler: GC-MS, Grape molasses, Pyrimethanil, Sugaring out, Syringe assisted microextraction
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Pyrimethanil is a widely used fungicide and its residues in carbohydrate rich foods require vigilant monitoring for consumer protection and regulatory compliance. In this study, a metal sieve-linked double-syringe sugaring-out liquid–liquid microextraction (MSLDS-SULLME) method coupled to GC-MS is presented for pesticide-residue determination in sugar-rich matrices exemplified by grape molasses. Endogenous sugars induce phase separation, while syringe-driven passage through a perforated metal sieve sustains interfacial renewal in a closed configuration, minimizing operator-dependent variability and avoiding disperser additives. In grape-molasses extracts, linear working range of 9.39–481.6 µg kg−1 was obtained with R2 as 0.9989. The limit of detection (LOD) and limit of quantification (LOQ) values were determined as 4.31 and 14.37 µg kg−1, respectively. Under identical GC-MS conditions, 79.66-fold sensitivity enhancement was observed relative to direct instrumental analysis. Using matrix-matching calibration strategy, recoveries of 83.00–129.16% were achieved with low within-set variability, thus confirming applicability in the authentic sugar-rich matrix. Overall, the developed approach offers a practical route for improving pesticide-residue analysis in viscous, sugar-rich matrices where conventional sample preparation may be limited by matrix effects and phase-handling difficulties. Therefore, it can be useful for analytical chemists, food-control laboratories and authorities involved in residue monitoring.