Non-targeted identification of tianeptine photodegradation products in water samples by UHPLC-QTOF MS/MS

被引:0
|
作者
Cruz Muñoz E. [1 ]
Termopoli V. [1 ,2 ]
Orlandi M. [1 ,2 ,3 ]
Gosetti F. [1 ,2 ,3 ]
机构
[1] Department of Earth and Environmental Sciences – DISAT, University of Milano-Bicocca, Piazza della Scienza 1, Milan
[2] NBFC, National Biodiversity Future Center, Palermo
[3] POLARIS Research Center, University of Milano-Bicocca, Piazza della Scienza 1, Milan
关键词
Drugs of abuse; Mass spectrometry; Photodegradation; River water; Tianeptine; Transformation products;
D O I
10.1016/j.chemosphere.2024.142534
中图分类号
学科分类号
摘要
This study aims the characterization of several tianeptine transformation products in ultrapure water by simulated sunlight irradiation. Tianeptine was completely degraded after 106 h of exposition following pseudo-first-order kinetics (half-life time = 12.0 ± 2.4 h). Furthermore, an ultra-high-performance liquid chromatography coupled with a high-resolution quadrupole time-of-flight-mass spectrometry method was developed and fully validated taking into account different method performance parameters for the quantification of tianeptine in river water up to a concentration of 400 pg L−1. Following a non-targeted approach based on mass data-independent acquisition, eight different transformation products not previously reported in the literature were identified and accordingly elucidated, proposing a photodegradation mechanism based on the accurate tandem mass spectrometry information acquired. Irradiation experiments were replicated for a tianeptine solution prepared in a blank river water sample, resulting in the formation of the same transformation products and similar degradation kinetics. In addition, a toxicity assessment of the photoproducts was performed by in silico method, being generally all TPs of comparable toxicity to the precursor except for TP1, and showing a similar persistence in the environment except for TP2 and TP6, while TP4 was the only TP predicted as mutagenic. The developed method was applied for the analysis of four river water samples. © 2024 The Author(s)
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