Stir Bar Sorptive Extraction (SBSE)-HPLC-Tandem MS-Based Method for Multi-Residue Determination of Pesticides in Drinking Water
Pesticide residues in water contamination represent a significant public and political issue due to their harmful effects on the environment, biodiversity, and human health, even at low concentrations. Pesticides are chemically heterogeneous, covering a wide range of Log<i>K</i> <sub><i>o/w</i></sub> values. Therefore, developing sensitive methods to detect a broad spectrum of hazardous chemicals in aqueous matrices is challenging. Gas and liquid chromatography/high-performance liquid chromatography-mass spectrometry (GC/HPLC-MS) are established tools but typically require pre-concentration steps. Stir bar sorptive extraction (SBSE) is a green, simple, automatable, and HPLC-compatible technique. This study presents a multi-residue method for determining 131 pesticides in mineral water using SBSE followed by HPLC-tandem MS. The selected pesticides, from various chemical classes, were evaluated in fortified ultra-pure and mineral water samples. The method demonstrated excellent sensitivity, with lower limits of quantification ranging from 20 to 50 ng/L for all analytes, enabling detection at trace levels. Selectivity was high (SEL% <20%), and reproducibility was confirmed with RSD% values below 20%. Intra- and interday precision tests revealed RSD% values from 0.23% to 19.81%. Trueness was validated with BIAS% below 20% at all concentrations. Uncertainty values were acceptable, with U% ranging from 1.44% to 49.24%. This SBSE-HPLC-tandem MS method is a robust, efficient, and reliable alternative to traditional approaches for routine monitoring of pesticide residues in drinking water, with quantification limits below regulatory requirements. It offers a suitable tool for public health applications, ensuring reliable pesticide detection in complex water matrices.
Authors
- Alessandra Grimmes Bernardo (ORCID: https://orcid.org/0000-0001-6765-3055)
- Riccardo Aigotti (ORCID: https://orcid.org/0000-0002-7667-8235)
- Sara Serra (ORCID: https://orcid.org/0000-0002-4117-2875)
- Francesco Floris (ORCID: https://orcid.org/0000-0003-1576-6212)
- Federica Dal Bello (ORCID: https://orcid.org/0000-0003-0726-3025)
- Claudio Medana (ORCID: https://orcid.org/0000-0002-9772-6814)
- Alex Affricano
Institutions
- University of Turin (IT)
Publication Details
- Journal
- Mass Spectrometry
- Published
- 2025-03-26
- DOI
- https://doi.org/10.5702/massspectrometry.a0172
- Citations
- 4
- Primary Topic
- Analytical chemistry methods development
- Type
- article
- Field-Weighted Citation Impact
- 3.01