Automated high-throughput dispersive liquid-liquid microextraction coupled with UHPLC-MS/MS for detecting triazole fungicides in water, juices, wine, and tea
The widespread use of triazole fungicides has raised concerns over residual. This study presents an automated, environmentally friendly, simple, and efficient method for detecting triazole fungicides in food samples, utilizing high-throughput liquid processing, dispersive liquid-liquid microextraction, and ultra-high-performance liquid chromatography-tandem mass spectrometry. The automated liquid handling workstation was employed to automate the whole sample pre-treatment process. Fatty acid, bio-based solvent, and saturated sodium chloride solution were used as the extractant, dispersant, and demulsifier, respectively. The whole operation process obviated the use of toxic reagents and eliminated the need for time-consuming centrifugation. The linear ranged from 0.01 to 1 μg L<sup>-1</sup>with limits of detection and quantification of 0.003 μg L<sup>-1</sup> and 0.01 μg L<sup>-1</sup>, respectively. Ten triazole fungicides were successfully detected in food samples with recoveries of 70.1 %-105.7 %. The automation of dispersive liquid-liquid microextraction demonstrates huge potential for broad applicability within the field of food safety testing.
Authors
- Yuxin Wang (ORCID: https://orcid.org/0000-0002-4931-2916)
- Xiaowen Wang (ORCID: https://orcid.org/0000-0001-6532-9606)
- Suzhen Li (ORCID: https://orcid.org/0000-0002-9133-668X)
- Jie Ying Fu (ORCID: https://orcid.org/0000-0002-5489-2732)
- Jin Liu (ORCID: https://orcid.org/0000-0002-0557-026X)
- Li Li (ORCID: https://orcid.org/0000-0002-6422-3057)
- Xu Jing (ORCID: https://orcid.org/0000-0001-8941-3335)
Institutions
- Shanxi Agricultural University (CN)
Publication Details
- Journal
- Food Chemistry X
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1016/j.fochx.2025.102712
- Citations
- 1
- Primary Topic
- Analytical chemistry methods development
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- National Natural Science Foundation of China
- Shanxi Agricultural University
- Earmarked Fund for Modern Agro-industry Technology Research System