Use of an accurate-mass database for the systematic identification of transformation products of organic contaminants in wastewater effluents.

J Chromatogr A

University of Almería, Department of Hydrogeology and Analytical Chemistry, Pesticide Residue Research Group, 04120 La Cañada de San Urbano, Almería, Spain.

Published: November 2011

AI Article Synopsis

  • A systematic method is introduced to simplify the identification of transformation products (TPs) of organic contaminants by examining their fragmentation during MS/MS processes.
  • A comprehensive database of 147 compounds and their main fragments was created using LC-QTOF-MS/MS technology, facilitating the identification of TPs in wastewater samples.
  • The approach involves three key steps: automatic screening, identification of potential TPs, and confirmation through MS/MS analysis, leading to the identification of degradation products from various pharmaceuticals and a pesticide with high accuracy.

Article Abstract

In this article, a systematic approach is proposed to assist and simplify the identification of transformation products (TPs) of organic contaminants. This approach is based on the use of characteristic fragmentation undergone by organic contaminants during MS/MS fragmentation events, and the relationship and consistency with the transformations experimented by these chemicals in the environment or during water treatment processes. With this in mind, a database containing accurate-mass information of 147 compounds and their main fragments generated by CID MS/MS fragmentation experiments was created using an LC-QTOF-MS/MS system. The developed database was applied to the identification of tentative TPs and related unexpected compounds in eight wastewater effluent samples. The approach comprises basically three stages: (a) automatic screening, (b) identification of possible TPs and (c) confirmation by MS/MS analysis. Parameters related to the search of compounds in the database have been optimized and their dependence with the exhaustiveness of the study evaluated. Eight degradation products, from the pharmaceuticals acetaminophen, amoxicillin, carbamazepine, erythromycin and azithromycin and from the pesticide diazinon, were identified with a high grade of accuracy. Three of them were confirmed by analysis of the corresponding analytical standards.

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Source
http://dx.doi.org/10.1016/j.chroma.2011.09.003DOI Listing

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