Magnetic Fe3O4@rGO-Ag SERS platform for rapid sub-micromolar detection of triazophos in complex food matrices
Triazophos (Tri), a persistent organophosphorus pesticide, poses significant risks on the ecosystems and food safety. Though chromatography-mass spectrometry achieves excellent sensitivity, its cost, training demands and long sample work-up preclude on-site use. Herein, we introduce a magnetic solid-phase micro-extraction SERS platform (Fe₃O₄@rGO-Ag) that couples superparamagnetic isolation (<1 s) with rGO pre-concentration and Ag-nanoparticle plasmonic enhancement. Tri is quantified in 40 min with a limit of detection (LOD) of 0.012 μM (10× lower than direct SERS) and linearity from 1 to 100 μM (R 2 = 0.9932). Kinetic modeling and X-ray photoelectron spectroscopy confirm that reversible physisorption dominates Tri enrichment. In complex food matrices (e.g., Brassica campestris L. and mango), the method delivers recoveries of 99–117 % with relative standard deviation (RSD) less than 6.8 % and retains 97 % of the SERS signal in the presence of common interferents. This work bridges the critical gap between laboratory-grade sensitivity and field-deployable practicality in pesticide monitoring. The protocol's magnetic isolation, reversible enrichment mechanism, and user-friendly optical readout make it easier to perform rapid, on-site quantitative screening at farms and markets, thereby reducing the risk of contaminated produce reaching consumers and mitigating ecological exposure to persistent organophosphorus residues. • Fe₃O₄@rGO-Ag integrate magnetic separation, rGO enrichment, and SERS for triazophos detection. • The MSERS method achieves 10× sensitivity (LOD = 0.012 μM) and 40-min rapid analysis in complex food matrices. • Physical adsorption mechanism revealed via kinetics and XPS, enabling reversible, high-efficiency capture. • Robust performance with 97 % signal retention in interferents and RSD ≤6.64 % for reproducibility and uniformity.
Authors
- Sihang Zhang (ORCID: https://orcid.org/0000-0003-1875-6896)
- Jing Wei (ORCID: https://orcid.org/0000-0002-2371-6111)
- Yongxin Pan (ORCID: https://orcid.org/0000-0002-4227-3061)
- Long Wu (ORCID: https://orcid.org/0000-0003-0212-6419)
- Jinhua Li (ORCID: https://orcid.org/0000-0003-1110-7471)
- Jiawei Liu (ORCID: https://orcid.org/0000-0002-4121-5820)
- Yu Han (ORCID: https://orcid.org/0000-0003-1462-1118)
- Chengzhen Ji
Institutions
- Chinese Academy of Sciences (CN)
- Hainan University (CN)
- Institute of Geology and Geophysics (AZ)
- Institute of Geology and Geophysics (CN)
- Hubei Engineering University (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Microchemical Journal
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1016/j.microc.2025.115660
- Citations
- 1
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.81