Green solvent-based high-throughput dispersive liquid-liquid microextraction for detecting strobilurin fungicides in environmental water samples
文献类型: 外文期刊
作者: Liu, Jin 1 ; Pan, Wei 1 ; Li, Suzhen 1 ; Nie, Yuanjun 3 ; Bi, Xinyuan 3 ; Jing, Xu 2 ; Li, Li 1 ;
作者机构: 1.Shanxi Agr Univ, Coll Plant Protect, Shanxi Key Lab Integrated Pest Management Agr, Taiyuan 030031, Shanxi, Peoples R China
2.Shanxi Agr Univ, Coll Food Sci & Engn, Taigu 030801, Shanxi, Peoples R China
3.Shanxi Agr Univ, Coll Agr Econ & Management, Taiyuan 030006, Peoples R China
关键词: High-throughput; Self-separation; Semi-automatization; Renewable solvents; Environmental monitoring
期刊名称:JOURNAL OF CHROMATOGRAPHY A ( 影响因子:4.0; 五年影响因子:3.6 )
ISSN: 0021-9673
年卷期: 2025 年 1749 卷
页码:
收录情况: SCI
摘要: A green solvent-based high-throughput dispersive liquid-liquid microextraction (HTDLLME) method has been developed as an environmentally friendly, straightforward, and efficient sample pretreatment technique. Six batches of extractant (eucalyptol) and dispersant (gamma-valerolactone) mixtures were simultaneously injected into six samples and uniformly dispersed using electric 12-channel pipettes, achieving rapid extraction. The extractant and dispersant are sustainable, renewable, and non-toxic, eliminating the need for harmful solvents. The rapid dispersion and spontaneous separation of the extractant do not require auxiliary devices or demulsifiers, aside from the electric 12-channel pipettes. The combined use of electric 12-channel pipettes and deep-well plates increased pretreatment throughput, enabled semi-automatic operation, and improved overall efficiency. UHPLC-MS/MS was selected as the detector to ensure the sensitivity of the proposed method. Under optimal extraction conditions, the linear range was 0.002-0.2 mu g L-1. The limit of detection and limit of quantification were 0.001 mu g L-1 and 0.002 mu g L-1, respectively. The intra-day and inter-day relative standard deviations ranged from 2.4 % to 5.5 % and 1.5 % to 5.8 %, respectively. The green solvent-based HTDLLME-UHPLC-MS/MS method achieved rapid detection of SFs in different environmental samples, with extraction recoveries of 81.1 %-105.8 %. Greenness and blueness evaluation tools confirmed the environmental friendliness and practicality of the method. The green solvent-based HTDLLME approach provides a sustainable, straightforward, and practical solution for processing multiple samples simultaneously, supporting effective environmental monitoring.
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